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Home My WebLink AboutItem B: Update on Commercial/Industrial/Residential Land Studies ECC UGENE ITY OUNCIL AIS GENDA TEM UMMARY Work Session: Update on Commercial/Industrial/Residential Land Studies Meeting Date: January 17, 2007 Agenda Item Number: B Department: Planning and Development Staff Contact: Lisa Gardner www.eugene-or.gov Contact Telephone Number: 541-682-5208 ISSUE STATEMENT The purpose of this work session is to respond to a council request for an update on the status of the Commercial/Industrial/Residential Lands Studies. Specifically, this item is intended to provide a status report on the City’s compliance with state requirements for local government inventories of residential, commercial, and industrial lands. BACKGROUND In 1992, Eugene completed and adopted a Commercial Lands Study. In 1993, the Metropolitan Industrial Lands Study was adopted. In 1999, the cities of Eugene and Springfield jointly adopted the Eugene-Springfield Metropolitan Area Residential lands and Housing Study (“Residential Lands Study”). On July 12, 2006, the council held a workshop on the supply of commercial and industrial Lands in Lane County, at which consultants presented a comprehensive created database on commercial and industrial designated lands. The City Attorney’s Office has prepared a memorandum summarizing the State’s requirements for local government inventories of residential, commercial, and industrial lands, including a status report on the City’s current supply of those lands, and assessment of compliance with State requirements. That memorandum is subject to confidentiality and has been distributed to the councilors separate from the Agenda Item Summary materials. The Lane Council of Governments (LCOG) has prepared a Eugene Buildable Lands Summary Memorandum, which is included as Attachment A. In response to the inclusion of a Buildable Lands Scope of Work item in the Planning Division FY 07 Work Program, staff requested a scoping outline be prepared by LCOG to provide additional information for council discussion of this item. Included as Attachment B, is a table summarizing scoping tasks, timeframe, and estimated costs to provide an order of magnitude context for cost and scope. Due to the timing of the council request for this work session, the Planning Commission has not had an opportunity to discuss or provide input on the Scoping Task 7 in the FY 07 Work Program. RELATED CITY POLICIES City policies are not applicable at this time. L:\CMO\2007 Council Agendas\M070117\S070117B.doc COUNCIL OPTIONS 1.The council may take no action. 2.As part of the Fiscal Year 2008 budget process, the council may choose to identify funding to update the residential, commercial and industrial supply and demand buildable land inventories consistent with OAR 660-009 or to fund the monitoring report. 3.The council could provide specific direction to staff on an alternative action. CITY MANAGER’S RECOMMENDATION The City Manager recommends Option 1. SUGGESTED MOTION None. ATTACHMENTS A. Eugene Buildable Lands Summary Memorandum B. Eugene Buildable Lands Scoping Options C. 2006 “The Supply of Commercial and Industrial Land in Lane County: A Database and Preliminary Analysis.” The following items will be available in the City Manager’s Office: 1999 Residential Lands Study ? 1993 Industrial Lands Report ? 1992 Commercial Lands Study ? FOR MORE INFORMATION Staff Contact: Lisa Gardner Telephone: 541-682-5208 Staff E-Mail: lisa.a.gardner@ci.eugene.or.us L:\CMO\2007 Council Agendas\M070117\S070117B.doc ATTACHMENT A Eugene Buildable Lands Summary Memorandum December 4, 2006 Purpose The following is an overview of options for updating the residential, commercial and industrial lands supply and demand inventories for the City of Eugene, including costs and timeframes. Buildable Lands and Recent Studies Current state law requires that cities inventory residential, commercial, and industrial land within their Urban Growth Boundaries (UGB) and maintain a 20-year supply of buildable lands at the time of adoption. In 1999, the cities of Eugene and Springfield completed the 1999 Residential Land Housing Study (RLS). The findings and policies were incorporated into the 2004 Update to the Metro Plan as the Residential Land Use and Housing Element. The study found that there is an adequate supply of undeveloped (urbanizable) area with the UGB to meet demand for a projected population of 286,000 through the end of the planning period (2015). Policy A.5 of the 2004 Update to the Metro Plan suggests developing a monitoring system that measures land consumption, housing type, size, and density and that these reports be made on an annual basis. The monitoring report should gather data on the total number of acres and units constructed as well as actual density that should be compared with the estimates and assumption used in the RLS. In 2000, Lane Council of Governments and the cities of Eugene and Springfield completed the first Residential Land Monitoring Report for the metro area. Since that time The City of Springfield completed a second monitoring report for the Springfield UGB for 2000-2003. During 2005-2006, Lane Metro Partnership along with Lane County and the cities of Eugene and Springfield funded a project (referred to as the CIBL project) that created a database of commercial and industrial lands within the Eugene-Springfield UGB. The project was not intended to provide a buildable lands inventory. Additional work and analysis would be required to develop a buildable lands inventory consistent with Goal 9 and OAR 660-009. While a recent commercial/industrial land inventory has not been completed for the metro area, the City of Springfield completed a Commercial Lands Study for its UGB that was adopted in February 2000 and is currently undertaking a Residential Lands Inventory. ATTACHMENT B Eugene Buildable Lands Scoping Options December 4, 2006 The supply and demand analyses components of a land inventory can be conducted separately or together and still meet statewide planning goals and applicable Oregon Administrative Rules (OAR). Options for consideration by the City in scoping a buildable lands inventory are briefly summarized below: 1. Prepare Residential Lands Inventory Monitoring Report The monitoring report gathers data on the total number of acres consumed and units and density of housing and compares those results with the estimates and assumptions used in the RLS. Issues: Does not consider commercial or industrial lands (CIBL study is not relevant to this option). Timeframe: 3 months Cost: $5 - $10K 2. Perform Residential Land Demand Analysis Perform Residential Demand Analysis in compliance with OAR 660-009. Issues: CIBL study does not include demand analysis. Timeframe: 6 - 8 months Cost: $20 - $30K 3. Perform Residential Buildable Lands Inventory and Supply Analysis Perform City or Metro wide Residential Land Inventory to determine if there is a 20 year supply of residential land remaining inside the UGB. Issues: Does not consider commercial or industrial lands (CIBL study is not relevant to this option). Timeframe: 6 - 8 months Cost: $60 - $90K 4. Perform Commercial and Industrial Land Demand Analysis Perform Commercial and Industrial Demand Analysis in compliance with OAR 660-009. Issues: CIBL study does not include demand analysis. Timeframe: 3 - 5 months Cost: $20 - $30K 5. Perform Commercial and Industrial Buildable Land Inventory and Supply Analysis Conduct Inventory of Commercial and Industrial Lands supply in compliance with OAR 660-009. Issues: Evaluate land use data reviewed by City staff in support of CIBL study to determine value for land supply analysis. Timeframe: 8 - 10 months Cost: $40 - $80K Summary of Options SUPPLY DEMAND ? COMMERCIAL New Study (CIBL Study) ? INDUSTRIAL New Study (CIBL Study) Existing 1999 Study Existing 1999 Study RESIDENTIAL New Study New Study The $upply of Commerci~1 and Industrial land in ane County: A Oat base and Preliminary Analysis ptepared for ! I I Lie County Cit of Eugene City f Springfield Land M tro Partnership I ! I i by I I E~~~~~~~:st Euge~e, OR 97401 (5411) 687-0051 I F1NtL REPORT ! I September 2006 I ATTACHMENT C ECONorthwest prepared the databas and report for the Lane County Commercial and Industrial Buildable Lands project. CO is solely responsible for the content of this report. ements This project was a collaborative effo of Lane County, the cities of Eugene and Springfield and the Lane Metro Partners ip. The four sponsor organizations provided the funding for the project as well as consid rable input and assistance in the design of the database. ECONorthwest would like to thank t e.members of the Technical Advisory Committee who provided valuable insig t and suggestions throughout the project. Jeff Towery, Lane County Land Ma agement Kurt Yeiter, City of Eugene Plannin and Development Greg Mott, City of Springfield Deve pment Services Jack Roberts, Lane Metro Partnershi Cress Bates, Lane County Public Woks Bill Sage, Lane County Land Manag ment . Kier Miller, Lane County Land Man gement Fred McVey, City of Eugene Public orks Doug Terra, City of Eugene Plannin and Development Brant Melnick, City of Springfield I formation Services Tom Laird, City of Springfield Info ation Services ECO would also like to than Eric Br ndt and Bill Clingman from the Lane Council of Governments. LCOG provided much of he base data needed for this project and LCOG staff was invaluable in helping the consu tant team and project sponsors understand the characteristics and limitations of the dat . Table f Contents Page ACKNOWLEDGEMENTS .........L. ............................................................................ I I CHAPTER 1 INTRO D U CTI ON L. ........................................................................... 1 I BACKGROUND. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i.. ........................................................................... 1 P URP 0 S E ......................................:.. ........................................................................... 2 METHODS................................... .j.. ................................;........................................... 3 OR G ANIZA TI ON OF THI S REPORT ..1. ~ ........................................................................... 4 I CHAPTER 2 FRAMEWORK FO DEVELOPING THE DATABASE............. 5 IDEAL DATABASE AND QUERY SY~ M... .... .... ...... .... ........ .... ...... .... ............. .............. 5 S T A TUS OF EXISTING SySTEMS.... .j.. ........................................................................... 7 A PRACTICAL DATABASE FOR THI$ ROJECT .............................................................. 7 DATA AND ANAL YSI S .................. .j.. ........................................................................... 9 I I CHAPTER 3 PRELIMINARY L ND SUPPLY ANALySIS............................. 12 RE'SUL TS ........................................ ......................................................................... 12 LAND BASE..................................,.. ......................................................................... 12 CHAPTER 4 IMPLICATIONS t D AND NEXT STEPS ................................. 19 DATABASE .................................. ~.. ......................................................................... 19 D A TAB A S E 0 PTI ON S ....................1.. ......................................................................... 20 WAYS TO IMPROVE THE QUALITY LAND USE DATA IN LANE COUNTy................. 20 LAN 0 I NVENTO R Y 0 PTI ONS . . . .. . . . ~. . . . . . . . . . . . . . .. .". . . . . . . . . .. . . .. . . . . . . . . . . .. .. . . . . . . . . . . . .. . . . . . . . . . . . . . . ... 22 SUMMAR Y . .. . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . .i. .. . . . . . . . . . . . . . . .. . . . .. . . . . .. .. .. . . . . . . .. . . . . . . .. . . .. .. . . . . . . .. .. . . . . .. . . .. 23 APPENDIX A FRAMEWORK F1 R BUILDABLE LAND INVENTORIES.... 25 OVER VI E W .................................. ~ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .; . . . . . . . . . . . . .. 25 LAN 0 SUP PLY. . . . . . . . . . . . . . . . . . . . . . . .". . . . . . ~ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 26 BUILDABLE LAND INVENTORY MST ODS .................................................................30 APPENDIX B PRELIMINARY $ MMARY OF DATA SOURCES ................. 33 D AT AB A S E S TR U CTU RE ............... j . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 3 3 D A TAD I CT I ON AR Y ..................... j . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 3 6 ~ aBed 900l Jaqwaldas aseqelea spuelleplsnpul pue le!~JawwoJ Alddns PUUllu~llsnpu~ Ol palulal sanss~ Aa){ IUl Aas pa~J~luap~ 'sPUV7/VJ:J.JaUlUlO:J pUV /vJ.JJsnpuI fo tf:JuaJ:J!ffns alfL '110~ 1 s,alUlS aql 'laAoal0W 'AlOlUaAU~ puuI palupdn uu JO Al~l~qul~sap aqllnoqu slu~P JO pal~ala lu~ol ~uomu ssaualUMU JO laAal aql pas~ul d~qslaUl1Ud 01laJi: uUi aql Aq sl10JJa luanbasqns '1 OOl u~ aua~ntI u~ sPuullu~llsnpu~ puu IU~~laUIUIo~ JO ~ uaAu~ uu palaldmo~ a~laUIUIoJ JO laqmuqJ aua~ntI aql'Allu~~al alow '(100l) Atp JS sPuv7/vJ:J.JaUlUlo:J p/a!f2uJ.Jds aql puu '(l661) tfpnJS sPUV7/VJ:J.JaUlUlo:J a agng aql '(l661) J.Joda([ tUoJuattuI spuv7 /vJ.1JsnpuI uVJJ/odo.1JaW aql apnl~ ~ sPuullu~lsnpu~ puu IU~~laUIUIo~ AlOlUaAU~ Ol A}unoJ auui u~ Slua aAo~ Iu~ol Aq sl10JJa sno~Aald 'qlM01~ JO slua~ l alupommo~~u Ol sasn IU~llsnpu~ puu IU~~laUIUIo~ 10J paluu~~sap spuuI JO AlO~ aAu~ lua~~Y:Jns u U~ulu~um Ol sa~l~~ sal~nball~ 'laAoalow '((()~100-600-00911t ) sa~upunoa qlM01D uuqlfll~aql U~ql~M sPuullu~lsnpu~ puu IU~~lammo~ AJOlP: AU~ Ol sa~l~~ palulodIo~u~ sal~nbal l~ sluamaldm~ luql allll aA~lulls~u~mpu aq~ uu 6 luoD ~u~uuuld ap~MalulS aNnO~~>I~"8 '(()~100-600-09911VO puu 6 IUoO Aq pal~nbal su :UoluaAu~ spuuI alquPI~nq p l su paldopu aq uu~ luql sdum puu sa~uUIUIns UlUp su IlaM su s~u~puy: Aq paY~ls f alU luql suo~ldmnssu ~U~){10M JO las u ~u~dOlaAa. p apnl~u~ II~M ){. 10M luql . 600-~9 llVO puu 6 luoD ql~M luals~suo~ AJOlUaAU~ spuuT alquPI~nq u dOlaAap Ol S~SA uu puu ){10M IUUO~l~Ppu l~npuo~ Ol aAuq II~M (A}unoJ auui puu 'Play:~u~ds 'au: ntI) slualUU1aAo~ 10suods aql I 'UO~l~U alnl11J 10J S10S~ ds l~afold aql Aq luaml~mmo~ AUU luasaldallou op puu l~afold S~qll0J luullnsp ~ aql 'lsaMq110NOJ3:Jo suo~u~do .nn lU;}s:ud;}l P l;}lduq;) u~ P;}lU;}S;}ld SUO~lf U;}mmO:);}l ;}q.L OlU;)Wn;>op ,(;>nod R SR panJ:lsuoJ aq 109 pl,noqs pUR 109 S! l! 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This led to <jJ vernor Kulongoski's "certified" industrial sites initiative which is inten4 to ensure that large "project-ready" sites are cataloged and are easy to market t~ rospective industries wishing to relocate or expand operations in Oregon. PURPOSE This project is about: eating a comprehensive database of commercial and industrial lands within t* Eugene-Springfield Urban Growth Boundary (UGB). The land inventory data~ se is the primary product of this project. This project is not in response to state~i e policies that require cities to maintain a 20-year supply of buildable co ercial and industrial lands-rather it reflects the desire by the four project spon rs (Lane County, the cities of Eugene and Springfield, and the Lane Metro Part rship) to better understand the commercial and industrial land base in L~ e County. Moreover, the inventory is a stand-alone ?foduct without commet ry on local land-use policy Of the implications of the Inventory. ! While this is not a pi l.cy project, the land inventory cannot be accomplished without consideration 0 tatewide planning Goal 9 (Economy) and OAR 660-009 (the administrative rule at implements Goal 9). OAR 660-009-0015(3) provides the following guidance th respect to land inventories: (3) Inventory of Indus ral and Other Employment Lands. Comprehensive plans for all areas within urban owth boundaries must include an inventory of vacant and developed lands withi he planning area designated for industrial or other employment use. I I (a) For sites invent ried under this section, plans must provide the following information: I I i (A) The descrt ion, including site characteristics, of vacant or developed s~tes within e~c plan or zoning district; I (B) A descrip~~, n of any development constraints or infrastructure needs that affect the builp ble area of sites in the inventory; and I (C) For cities ~ d counties within a Metropolitan Planning Organization, the inventory mu~t Iso include the approximate total acreage and percentage of sites within e~c plan or zoning district that comprise the short-term supply of land. (b) When compar~n current land supply to the projected demand, cities and counties may inv~ ory contiguous lots, or parcels together that are within a discrete plan or zgn. ng district. I i ECONorthwest September 2006 Page 2 I I ECONorthwest wrote the majority of the study as a subcont$ tor to OT AK. 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Addition I y, ECO conducted a small amount offield verification as a quality assu a ce measure.2 In summary, ECO u a systematic process intended to merge several databases into a single s tern. Chapter 2 of this report discusses issues related to buildable lands database and this project specifically. Appendix A includes a discussion of the theory buildable lands inventories. The remainder of thi eport is organized into two chapters: ORGANIZATION OF THIS REP Chapter 2, Frame k for Developing the Database discusses issues related to buildable land . nventories, buildable lands databases, and how the consultants and TAC ap oaches this project. Chapter 3, Prelimi ry Land Supply Analysis presents ft series of summary tables from the database he summary tables are intended to provide context for the commercial and ind s rial land base in the Metro UGB. It is not intended to be a buildable lands invent that complies with the Goal 9 requirements. This report also incl es several appendices: Appendix A: Fram discusses typical issues for completing buildabl ork for Conducting Buildable Lands Inventories countered in a buildable lands inventory and methods ands inventories. Appendix B: Sum that ECO reviewed as p County Commercial an ry of Data Sources describes the various data sources of this project. It also provides an overview of the Lane ndustrial Buildable Lands database structure. 2 This RFP did not request, nor did ECO conduct a systemati eld assessment of the commercial and industrial land base. This is a potential future step, but ECO's assessment is that it would n t esult in a significant change to the overall results. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 4 9 aBed 900G Jaqwaldas aseqelea spuelleplsnpul pue le!OJaWWOJ . Ulals.A l[l JO alupdn al[l slagg~lllO salu~l~u~ asuqulup al[l u~ plo~alluUAalal AUU gU~lupdn al[l 'lasn pua al[l Ul01J aUl~ll[~uaasuqulup al[l JO AlanbMaU 13 l ~l~u~ Ol gU~AUl[ uUl[llal[lulI osalnpa~Old palOls JO sa~as 13 l[gnOll[l auop s~ sa~old s~l[l .sa~UJlalu~ pUU 'suo~luln~Iu~ 'sa~anb al[l u~ uaas sanluA al[l ~lupdn 'UlalsAs al[ll[gnOll[l pa~u~ AIIU~~lUUlOlnu alU salupdn al[l 'p l pdn s~ asuqulup g~lnOS al[l u~ plo~al AUU ual[M .sa~UJlalu~ lua~I~ UlOlsn l[l Ol AUM al[l 1113 'asuqulup al[l JO sMa~A pUU sa~anb alu~paUllalu~ Ol :UlalsAs al[llnol[gnOll[l pal~auuo~ AIIU~~UlUUAp s~ sasuqulup a~ln al[l U~l[l~M pau~Uluo~ UlUa . .UlUp al[l Ol salupdn gU~A~a~al JO lU~od IU~l~U~ al[ll alU puu a~uuualu~uUll~al[l 10J alq~suodsal alU lUlll sa~~uagu sno~luA a U~lll~M gu~p~sal 'sasuquluP IUlaAas JO dn apuUl s~ UlalsAs Iuap~ uy oalU l-dn puu alUln~~u alU UlUa . :luql sal~nbal UlalsAs 13 l[~ns .SdUUl puu S110 1 a~npold pUU SUO~l~unJ gU~IapoUl l[l~M Ulupalll pualxa oSIU lnq UlUP lualln~ a. l Ma~A AluO lOU ollasn allll~Ul1ad oSIu PlnoM a~uJlalu~ Ulolsn~ alll 'AlluUO~l~PPY .~sAluUU Asua salul~I~~uJ lUIIllUUllOJ IU~~l[dulg u~ UO~lUUUOJu~ IU~luassa l[l~M 1 s pua al[lluasald Plnol[s sa~UJlalu~ paZ~UlOlsnJ .ls~Iu~~ads luaUldolaAap ~~ulOU a 10 lauuuld al[l Ol asn aIll~I JO alU sa~anb 10 'salnpa~Old palOls 'asuqulup al[l ~ salqul al[l JO sMa~A l~al~p '110l[s uI uaaMlaq sd~l[suO~lUlal paluln~Iu~ uo pas .spagu paz~Iu~~ads ua l[gnoll[l slInsal SAulds~p gnoll[l Slasn Aq passa~~y UlUP gU~ls~xa UlUP Mau a~npold Ol alqy . 10J paz~Ulolsn~ sa~uJlalu~ lua~I~ asn Ol II oAIPua~J lasn puu aldUl~s s~ lUl[l'a~uJlal~~ u . pUUll lU uO~lsanb al[l olluuAalal UlUP AluO Sl~Ul a lUllllauuuUl 13 u~ pa~ano . sasuqulup Iunp~A~pu~ JO Ala~uA 13 Ul01J UlUP a l-Iual Aq AIsnonu~luo~ pad . :s~ lUl[l auo s~ l~afold S~l[l JO suo~lsanb l ssalppu Ol UlalsAs UlUP Iuap~ al[l .. .asuqulup spuu"] IU~lsnpuI puu IU~~laUlUloJ nOJ auu"] alll u~ papnI~u~ s~ lUl[M JO UO~ld~~sap 13 l[l~M sapnI~uo~ puu 'l~afol S~l[lJO lagpnq puu ado~s al[l uaA~8 IU~~l~Uld SUM lUl[M saq~~sap ual[l 'asuqulup 13 p~ al[l JO uo~ssn~s~p 13 l[l~M su~gaq II .asuqulup spuu"] IU~llsnpuI puu IU~~laUlUl AlunoJ auu"] al[l dOlaAap Ol pasn JY l al[l puu OJ3 ~~goI puu )]"loMaUlulJ al[l J a~A1aAo uu Sgp~AOld laldul[~ s~ql J.SAS A~3nO ON" 3S"8"J."0 '''301 aseqelea JOj )fJ Z JaJde4~ Figure 2-1. Ideal dat ase and query system SOURCE DATA A INFORMATION ~ DISPLAY CUSTOM DATA UERY/SYNTHESIS ..~ l>!-_~, ,'lIl'": .:" . Compiled View of Databases #- of parcels size zoning services etc. DATABASE QUERY - STORED ROCEDURE DIGIT Al PLANNING.lMODElING !QQb. database 3 commerdaJ and imJuslriaJ parcels wh at if? zone derinition change constraints increase aner formula assumptions and 'Uiew resuns T.A.BLE databases and tables current and continuously maintained SOL query fed live from databases or tri ggered update upon change in source data ~~G PRINTED REPORTS Source: Ken Kato and ECONort The ideas are cleare Springfield, Eugene, an occupancy In a commo queried either in real ti (e.g., LCOG) to create the source data would feed into a central database feed into a web interface and/or printed reports and Figure 2-1 shows ho system, which would th maps. ith an example. In an ideal system for the Metro area, ane County might all enter building permit and orm on their own servers, and those servers would be by end users, or periodically by a database manager ated tables. ,he possibility of building such an ideal system: . Technology. Th ethods for deploying a fully dynamic system as described above a e extremely complex. Such systems require a high level of expertise and rge budgets to pay for that expertise. Additionally, the hardware and so t are infrastructure investment necessary to deploy such a system can als e enormous. . Process. The lar st hurdles are often the administrative procedures required to see t project through to completion. Issues such as inter- agency agreeme s, data licensing, cost sharing, and the time. and staff costs behind the cessary meetings often present a barrier greater than the technology. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 6 L aBed 900Z Jaqwaldas aseqelea spuelleplsnpul pue le!~JawwoJ Al~~) Pl~y~u~dS JO Al~J ~l{l JO SUO~l~~pS~lnf ~ l U~l{l~M Sl~~lUd ~lqul~UAU JO AlqUI~SSU ~u~pnl~u~ SUO~ldo ~sn l~l{lO 10 lua Ol~A~P~llOJ S~~l~Ulllloddo ~lunluA~ Ollu~uodUIO~ ~A~lul~lunb pnl~u~ llUl{S AlOlU~AU~ ~l{l . ospUU lU~~l~UIUIOJ pUU lU~lsnpuI JO AlOlU~AUI (() UO~l~~sqns 'S~SAlUUV S ~ ~UlllloddO ~~UIOUO~3: ~IOO -600-099 ~lnlI ~A~lUllS~U~UIPV UO~~lO JO Sl UI~l~nb~ll{~lU~S~l ~ql ql~M AldUIO~ lluqs '(SHOn ~p~slno) U~lV uUld Oll ~ql pUU '(HOn pUU Sl~UI~l Al~~) ~u~~n3: JO Al~J '(HOn pUU Sl~UI~l Al ) Pl~g~U~ldS JO Al~J ~ql JO SUO~l~~pS~lnf ~ql U~ql~M SPUUllu~llsnpu~ puu 1 ~l~UIUIO~ JO AlOlU~AU~ ~ql . os~suqUlUp ~U~lS~X~ ~ l~M P~lUl~~lU~ ~q UU~ luqll~UUUUI 13 U~ p~lm~rulS S~ l~~fOld S~qllOJ u~~s~p ~suq l P ~ql 'snql oAlunoJ ~UU'l U~ SPUUl lU~llsnpu~ pUU lU~~l~UIUIO~ JO Alddns ~qllO. 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This project did not t e on the larger technology and process issues described in the previous section. e. practical database can be built in months rather than years, bringing the dispe bits of information that are currently available into a standardized format that n immediately be a useful policy tool. Thus, the database built for this pr ~ ct is based on static table exports from several local jurisdictions' databases, ditional table exports from external databases, and tables produced from GI analysis. In summary, the pra t al database is a "Single Database Snapshot." It contains data that can be pdated, but it does not incorporate the technologies or protocols that allow it to automatically updated as the data sources from which it draws get updated. Th , it is a database that can answer many questions about the supply of land by m attributes as of some date (e.g., late 2005). Figure 2-2 shows how the ECONo est team compiled data from multiple sources, performed GIS analysis en required, and prepare printed reports and maps. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 8 6 aBed 900Z Jaqwaldas s~suqUlU aseqelea spuelleplsnpul pue le!::lJaWW08 . O~lUAl~sqo Pl~Y m01J UlUa . s~sAluUU SID mOlJ UlUa . U1~lX~ 8u~lS~x~ mOlJ Ulua . . :s~~108~lU~ lnoJ 8u~MolloJ ~ql Olu~ UlUp JO S~dAl ~ql p~Z~UU8l0 .lu~mn~op S~~~Al~S JO ~do~s ~ql u~ UO~lU~Y~lU~P~ l~ll~ll~~ql Oll~J~l ~lqUl ~ql ~ SUO~luu8~s~p l~ll~l ~ql .lu~mn~op S~~~Al~S JO ~do~s ~ql u~ p~ls~nb~l UlU l{lllU JO lS~l U s~ol{s 1-(: ~lqul .~suqUlUp ~ql u~ p~pnl~u~ SUM ~lqu. A UlUP ~l{ll~l{l~l{M pUU l~~ fOld ~l{l JO S~A~l~~fqo pUU UlUp ~ql JO lSO~ ~l{l JO UO~lU 1 A~ lno ~pnl~u~ OSlU ~ M. .~lqul~uAU UlUp JO S~dAl ~ql JO UO~ld~l~S~p U S~p~AOl O~l~~S S~l{l .1tlJ~sn pUU ~A~su~dx~ ~q Aum UlUp ~mos lnq ~~nluA JO lOl U ppu lOU U ~A~su~dx~ Al~A s~ UlUp ~mos .sl~ul1ud l~~fOld ~ql JO S~A~l~~fqo ~qll~~m Ol m~lSAS lU~~l ld ~l{llOJ lUUl1odm~ lsom ~lU UlUp JO s~dAllUl{M UO s~~~oq~ ~pum Sluullnsuo~ pu V l ~l{l 'l~~fOld lU~lln~ ~qll~pun ~suqulup lU~~l~Uld U ~lU~l~ ol .lSO~ pUU SS~Ul ~sn U~ AlUA pUU p~sl~ds~p ~lU A~l{l lnq 'Aluno;) ~UU1: U~ sPUUllu~lsnpu~ pUU lU~~l O~ ~l{l UO ~lqul~uAU ~lU UlUa SISA lVNV ONV V.LVa lSaMlHJON083 pue Ole}! ua}! :a3JnOS ~ ~ ^"'dSIO ~ NOIJ."W~O.:lNI W J~arOJd S!4J JOj seqeJep le~!J~eJd .Z-Z aJn6!.:I The data identified a oming from existing internal databases are of low cost and high value to th roject. These data were generally obtained as exported tables from the Regional and Information Database (RLID) or Assessment and Taxation (A&T) databas . The data identified a oming from existing external databases include data from the State of Oregomployment Department and other potential sources including EWEB. Info ion that may come from existing external databases include "onsite services.' he T AC decided to not include any of these variables due to a range of issues ated to the data. Both the internal an xternal databases are electronic compilations of data in formats that can be readi imported. The main distinction we are making is that the internal data comes m LCOG (internal in the sense that LCOG has already compiled it and vetted it t a certain degree. for Lane County), while the external data could come from ot r agencies or even private sources. . The data identified a oming from GIS analysis range from low-medium to high cost and are genera 1 of high value to the project. Data coming by way of GIS analysis required co bining several existing GIS datasets using spatial analysis methods to pro e new datasets. The distinction here is that we had to do some processing (GI nalysis) of internal or external data to create derived data. For example, data dressing a development consideration like wetlands was intersected with tax-lot ygon data with wetland polygon data to produce tables identifying which lots cain wetland constraints, the size of the constraint, the percentage of the lot co s rained, etc. Data addressing proximity questions was calculated using distanc eriving methods that relate tax-lot polygon data to transportation corridors. The data identified a oming from field observation will require either field verification or possibly i photo interpretation. The T AC decided to skip the two field observation data v abIes. Table 2-1 summariz the requested data characteristics, their sources, and whether they were inclu d in the database system. 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MOl all~ 3 "2. eseqelep all~ U! pelJodeJ saA. 45!H MOl all~ UO!leu5!sap.5u!uoZ (q ~ o' SJaqwnu ~ aseqelep all~ U! pelJodaJ saA. 45!H MOl all~ lOI xel pue de w S~l (e saJoN LaseqeJea anle^ so:> a:)Jnos :>IJsIJaJ:>eJe4:> eJea ~a)4 181:> UI papnl:>ul S~!JS!J ~eJell~ eJep jO ,{JeWWns · ~-Z alqel Chapter 3 Preli Su inary land Anal sis This chapter present SpringfieldUGB based section: (1) a summary of vacant land; and (3) a preliminary land supply analysis for the Eugene- queries from the database. It is divided into three Jhe commercial and industrial land base; (2) a summary mmary of potentially redevelopable land. . RESULTS LAND BASE Table 3-1 shows acr within the Eugene-Springfield Urban Growth Boundary (UGB) by ju s iction. The data indicate that the Metro UGB encompasses over 76 sq re miles (over 49,000 acres). More than half of the land within the Metro UGB ( square miles) is within the Eugene city limits. Area Eugene city limits Springfield city limits Unincorporated Metro UGB the Eugene-Springfield Urban Growth Table 3-1. Acres wit Boundary 26,850 9,790 12,416 49,056 Sq. Mi. 42.0 15.3 19.4 76.7 Percent 550/0 200/0 250/0 1000/0 Source: analysis by ECONorthw s The commercial an i dustriallands database includes only lands designated for employment uses wi in tax lots. Not ~llland within the Metro UGB, however, is in tax lots. hIe 3-2 shows that about 830/0 of the land within the Metro UGB is in tax lot. ,The percentages for Eugene and Springfield are roughly comparable, while the a a between the city l~mits and UGB has a slightly higher percentage of land in ta ots. This is due to the presence of more large parcels and few streets in the ur i nizable area. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 12 ~ ~ a6ed 900l Jaqwaldas aseqelea spuelleplsnpul pue le!~Jawwo8 'suo~leU~~Sdp pueI lUdUlAOIdUl - ou dAeq SlOI xel q~~qM JOJ luno~~e Ol pue SlOI Xel JO Al~~dlU~ dqll~dlOJd Ol A~oIoPOqldUl S~ql SdSn dseqelep dql 'suoqeu~~sdp lUdUlAOId d U~ SlOI Xel JO edJe dql uo elep seq dseqelep dql 'lUdUlAOIdUld JOJ pdleu~~Sdp lOU dJe dseq pueI dql u~ pdpnpu~ SlO[ xel JO suoqJod S snql 'suoqeu~~sdp ueId lHds ql~M sloI xel dpnpxd lOU p~p dseqelep dql \: 'alqBdolaAap aq Plno~ PUBI paU~B1lSUO~ lUB~BA aql J amos pUB "padolaAap" pa1ap~suo~ aq Plno~ pUBI pau~B1lsuo~ JO sa1~B 81 ' aql JO amos l~BJ UI 'luamdolaAap apnl~a1d AI~lBssa~~u lOU op SlU~U1lSUO ~mdol~A~P luql ~l~q ~lOU ~ fA 'lU~U1lSUO~ lu~mdoI~Aa 0 ~dAl ~mos ~AUq aon Oll~W ~ql u~ SUO~lBUg~S~P lu~mAoldm~ u~ S~l~B 160'01 l JO S~l~U 819'Zlnoqu luql SMOqS p-( alqul '(%~Zl~AO s~doIs) s~doIs d~~lS P 'spuuIl~M 'SAUMpOOlJ 'su~BldpoolJ gu~pnI~u~ SlU~U1lSUO~ luamdoI~Aap.10J BP ua1B sapnI~u~ ~sBqulBp ~ql 0'17(;9 v. ~60'O ~ 6'9L€'(; L'069'(; S'€(;O'g suoneu6!saa dW3 u! saJ~" 9'S179'€ v.ttg'O ~ 9'L69'(; 9'6€S'(; 9'96 ~ 'g asea puel u! saJ~" lelol lS8MlH.lON083 ^q S!S^leUe :8~.In6s ~€6 tZS'L SOO' ~ LLS' ~ S€9' V luno8 auel lelol a~n OJlaw eaJ'V 4lMOJ~ ueqJn OJlaV\J Rl8!J6updS aU86n3 UO!I~!ps!Jnr ~~uno~ auel 'sasn le!J~snpu! pue le!~Jawwo~ J eJodJo~u!un pue 8~n oJ~aw pa~eu6!sap spuel .t-t alqel 'SUO~luug~s~P uUld IU~l pu~ puu IU~~l~UIUIO~ u~ a1U 160'01 lnoqu '~suq puuI Oll~W ~ql u~ sa1~U ((9'0 1 ~q 's~sn IB~llsnpu~ pUB IU~~l~UIUIO~ 10J palBug~sap s~ aSBq pUBI aql U~ql~M pUBI a 0 IIu lOU lBql SUBam oSIB a1l1l~ruls ~sBqulup s~ql 'asBqBlBp aql u~ UlUp as uUI pUBloI XBl aqlJo Al~g~lu~ ~ql aA1~sa1d Ol auop SUM s~ql 'UO~lBug~sap UUld'I . ~lsnpu~ 10 IB~~l~mmo~ U u~ s~ luql uO~l1od AUU ~ABq luql sloI XUl u~ pUBI IIu sa ~U~ ~sBqulup aql '~SBqBlup spuuI IB~llsnpuI puu IU~~laUIUIO;) Aluno;) aUBI aql ~ apnI~u~ s~ aon Oll~W aql U~ql~M pUBI JO %9Z uuql ~lom AIlq~~Is 'snql \: 'aSB UBI IU~lsnpu~ puu IB~~l~UIUIO~ ~ql u~ papnI~u~ s~ aon Oll~W ~ql U~ql~M sa1~B (( 01lnoqB lBql SMOqS (-( ~IqBl %9'(;S 0/o17'9S oJ'o(;' ~ S %S' ~ S Slo, xel U! saJ~" jO 0/0 L(;9'017 L09'0 ~ 9176'L 9L6' ~ (; Slol xe 1 U! saJ~" lS8M4l.10N083 ^q S!S^leUe :8~.InOS 990'617 9~17'(;~ 06L'6 09S'9(; S17(;'OS 17€17' 0 ~ L(;17'S ~ LS€' ~g SIO' xe 1 8~n OJlaV\J paleJodJo~u!un Sl!w!I ^l!~ Pl8!J6updS Sl!w!I ^l!~ 8ua6n3 eaJ" ~epuno8 4~MOJ~ ueqJn Pla!l6u!Jds-aua 3 a4~ U!4~!M saJ~" .Z-t alqel Table 3-4. lands des nated for commercial and industrial uses, Metro UGB and unin rporated lane County Jurisdiction Eugene Springfield Metro Urban Growth Area Metro UGB Total Acres in Commllnd Designation 5,023.8 2,690.7 2,376.9 10,091.4 Constrained Acres Unconstrained Acres 1,306.3 481.0 830.8 2,618.1 3,717.5 1 ,546.1 2,209.7 7,473.3 Source: analysis by ECONorthw t' The T AC and other ressed concern that some of the land in the database was in government own r. hip and not available for development. Consistent with the parameters of the da a. ase, any tax lot that has an employment land designation (in whole or i part) was included in the database. This includes areas in west Eugene that are ned by the BLM and other government agencies and are actively being restor as wetlands. These lands have industrial plan designations, yet they cl rly are unavailable for development. Not all government lands, how r, are unavailable for development. For example, the Metropolitan Wastewat i ommission owns land in the UGB in north Eugene in industrial designations. t ',' s currently using those lands for its bio-solids management program. lands, however, could become available for development in the futu e j Table 3-5 shows tot I cres in commercial and industrial designations within the Metro UGB. The da a show that about 1,653 of the 10,091 acres in the land base are in government nership (federal, state, county, or city). That leaves 8,439 acres in private 0 ership; of those acres 6,707 are unconstrained acres. Constrained Unconstrained Acres in Acres in Acres in Acres in Government Private Private Private Jurisdiction Ownership Ownership Ownership Ownership Eugene 5,023.8 912.0 4,111.9 807.6 3,304.2 Springfield 2,690.7 223.7 2,467.1 429.0 2,038.1 Metro Urban Growth Area 2,376.9 517.0 1,859.8 495.2 1 ,364.6 Metro UGB Total 10,091.4 1,652.7 8,438.7 1,731.8 6,706.9 Table 3-5. lands de i nated for commercial and industrial uses in public and private 0 ership, Metro UGB and unincorporated lane County Source: analysis by ECONorthw s Note: Government designations ntified by tax exempt status from RLlD data. The LCOG databas .. eludes 20 generalized land use classifications. Based on conversations with t T AC and development experts, ECO developed five classifications that rang rom built to vacant. Parking emerged as an important consideration-particul y in more densely developed areas. So, the database Commercial and Industrial Lands Database ECONorthwest September 2006 Page 14 9 ~ a6ed 900Z Jaqwaldas lSaMLllJ J3 aseqelea spuelleplsnpul pue le!~JaWwoJ lnoqy .lU~U1lSUO~ lUaUIdolaAap JO adi\l aUI aAuq Hon Ollaw aql U~ lUU~U.A SU pay~ssuI~ SPUUI IIU JO (sa1~U L9Z' I) %Z~ In luql MOqs slInsa1 aql .d~qs1auMo aluA~ld u~ a1usa1~U lUU~UA asaql JO ZZL' I In U ~Hon ollaw aql u~ sa1~U lUU~UA 8zp'Zlnoqu MOqS slInsa1 aql .snlUlS lU~U1l ~ puu uO~l~~ps~nf Aq sa1~U lUU~UA . SMOqS 8-( alqul .sa1~U lUU~UA lU alunluAa Ol U s~sAluUU aql u~ dals lxau aql aN'V1 a3NI"~lSNO~Nn IN''~'' ^ lsaMLllJON083 Aq S!SAleU\f :a::unos 0/00' 00 ~ ~. ~60'0 ~ 6'9Lt'Z L '069'Z lV.lO.l 0/0 ~r 0 9'9S 4JJeasaCj ^l!SJa^!Un %O'~ l'OO~ l'OO~ leplsnpul ^^eaH lepads O/oL'O 9'~L asn pax!V\J 0/06'0 S'LS 9'Ol ~'Sl pax!V\J saCj ^l!suao wn!paV\J 0/09'~ O'99~ l'9l~ JaluaJ l!elaCj JofeV\J %l' ~ L'Ol~' ~'Lv 9'~L V\J leplsnpul wn!paV\J l40!1 0/ov'6l l'696'l 9'~~l' ~ ~'lOv leplsnpul wn!paV\J l40!1 0/06'9l S' L ~9'l l'vLv 9'9l~' ~ leplsnpul ^^eaH %~'l S'~~l O'~V S'L9~ asn pax!V\J lepJawwo8 %L '6 ~ O'l66' ~ 9'Ll~ 9'v99 lepJawwo8 %v'l ~ L'Lvl' ~ S'l~~ 6'l~l leplsnpul sndwe8 lelO .1 lelo .1 8~n OJlaw Plau6u!JdS uoneu6!saa ueld lO lua:)Jad 8~n OJl9W 'UOlleu6lS9p ueld pue uOlle:>>ljlssel q SlOI xel UI S9J:>>'V -L-t 91qel. lSaMLllJON083 Aq S!SAleUe :a~Jnos .SUO~lUUlJ~sap puuI IU~llsnpu~ u~ s~ asuq puuI l u~ puuI aqlJo %ZL lnoqy .Hofl ollaw aql10J uO~l~~ps~lnf puu UO~lUulJ~Sap uUI Aq sa1~U IUlOl SMOqS L -( alqul 0/00.00 ~ 0/0 ~1" 0 O/oZ.PZ %~r ~ ~ 0/09'0 0/06' 69 saJ~\f 10 lua~Jad 0/000 ~ 6tO'O ~ Z9 LZP'Z 99~'~ ~9 ~9~ 9~0'9 lelo 1 8f>n OJlaw %PZ LLt'Z 0 ~OL 969 9 g~ 990'~ eaJ\f L1lMOJ8 ueqJn OJlaV\J %LZ ~69'Z 0 L6~ ~6~ PZ ~6 996'~' Pla!l6u!Jds 0/009 ZL6't Z9 6Z~'~ L6~ ZZ ~9l ~L6'Z aua6n3 lua:)Jad lelo 1 pa!J!ssel~ lUe~e^ lue~e^ 6u!lIJed 6u II ed lUn8 ' UO!l~!pS!Jnr lON ~lIe!lJed ~lIe!lJed 8~n OJl9W 'UOlle:>>ljISSel q SlOI xel UI S9J:>>'V -9-E 9lqeJ. .lJU~)]:lud a~uJ1ns puq sa1~U PIP lnoqu puu' U~UA Allu~llUd su palUulJ~Sap a1aM sa1~U ~8I'I IUUO~l~Ppu uy -(sa1~u LZp'Z) luu~upay~ssuI~ SUM %pZlnoqy ".lI~nq" pay~ssuI~ SUM (sa1~U ~IO'9) asuq puuI IU~lsnp .,puu IU~~laUIUIo~ aqlJo %09lnoqu luql MOqS ulUP aql -Hofl ollaw aql10J UO~lU~ J' ssuI~ Aq puuI SMOqS 9-( alqul -I ualod luaUIdoraAap Iunp~sa1 aUIOS aAuq AUUI oSIu lnq 'luaUIdolaAap aUIOS aAuq lU sloI XUl10J Sluno~~u 'luql A10lJalu~ lUU~UA "Allu~llUd" u sapnI~u~ oSIu asuq P aql -lJu~)]:lud a~uJ1ns u~ Allu~llud 10 lJU~)]:lud a~uJ1ns U~ a1u luql SUOlJAIod puuI 10J uO~lu~y~ssuI~ u sapnI~u~ 39% of the vacant lands i private ownership have some type of development constraint. Table 3-8. Vacant co mercial and industrial land by jurisdiction and constraint status, M t 0 UGB Jurisdiction All Comm/lnd land in M Eugene Springfield Metro Urban Growth Ar a Metro UGB Total Comm/lnd land in Priva Eugene Springfield Metro Urban Growth Ar Metro UGB Total Source: Analysis by ECONorthw s Vacant Acres in Comm/lnd Designation 1,328.7 363.2 735.1 2,427.0 Ownership in Metro UGB 888.5 357.1 476.7 1,722.3 Vacant Constrained Acres 731.5 98.8 436.8 1,267.1 373.2 74.5 220.8 668.6 Vacant Unconstrained Acres 597.2 264.4 298.3 1,159.9 515.2 282.6 255.9 1,053.8 Table 3-9 shows va a t land by plan designation and city. The results show that the Metro UGB has out 2,427 vacant acres, and 1,160 vacant unconstrained acres. The Campus Ind ial and Light Medium Industrial designations have the largest number of acres at are constrained. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 16 L ~ a6ed 900l Jaqwaldas lSaM4lJO 83 aseqelea spuelleplsnpul pue le!::lJaWW08 lnoqu luql MOqS sllns~l ~ql 'll~nq su P~~J~SS .~ ~l~M lUql aon Oll~W ~ql U~ql~M S~l~U 5; I 0'9 ~ql s~pnl~u~ ~lqul ~ql 'lu~lu~lOd l dOI~A~P~l ql~M spuuI ~U~AJ~lu~P~ 10J P1UPUUlS 'AlU1l~q1U l~~qlu 'lu~~dAl U s~ I;: I uuql sS~1 JO O~lU~ V 'UO~luu~~s~p uUld Aq SI~~lUd p~dol~A~p1~pun Allu~lU~lO 0 AlUUIUInS U SMOqS 6-E ~lqul 'l~~f01d s~ql JO ~do~s o dOI~A~p~llq~~lli puullf:Jl1Ul MOlf ~P~l Ol p~llinssu ~q II~M /vJJuoJod l SI~~lUd JO Al~ofuUI U U~A~ 10 '11U ~ s~~pms ~lliOS u~ p~sn Ploqs~1ql V UIUIO~ U. 'lu~lu~lOd lU~llidol~A~p~l u~uuuld ~ql ~u~np dOI~A~p~l AUlli 1ppU IU~lu~lOd lU~llidol~A~P~(l lVI1N310d lN3Wd013^3a3~ ~ql JO ~p~slno ~nss~ uu s~ pO~l~d ~u~uuuld ~ql1 JO ~nss~.~ql 'po~~d ~u~uuuld ~ql ~u~np do lU~llidol~A~P~llOJ UO~~l~~ s~qll~~lli l lON . 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LZv'Z Z. ~OL ~.L6t L .szt' lV10l 6'6l 6'6l LI~Jeasa~ ^l!sJa^!Un 0'0 0'0 leplsnpul ^^eaH le!~ads ~'~ ~'~ asn pax!V\I 6'9 6'P 6'0 ~ '0 pax!V\I sa~ ^l!SUaa wn!paV\l L'f: g' ~ ~ 'l Jalua8 I!ela~ JofeV\l P'L~ 9'l~ B'P V\lleplsnpul Wn!paV\llLl6!1 9'L96 ~ '909 ~'OL l' ~ Bf: leplsnpul wn!paV\llLl6!1 ~ 'Bf:P 9'f:L ~ 'll ~ P'lPl leplsnpul ^^eaH g' ~l ~ 'f: ~ 'f: ~ S'9 asn pax!V\lle!~Jawwo8 L' PB ~ 6' ~9 6'99 6'S9 le!~Jawwo8 0' L9L 0'6P S' L ~ ~ S'OOg leplsnpul sndwe8 (saJ~e) spuell1V lelol 8~n OJlaw Pla!j6updS aua 3 UO!leu6!saa ueld 8~n OJJaW '~J!~ pue uO!Jeu6!sap eld ~q puel Jue~e^ -6-E alqe.l 685 acres have an impro ment to land value ratio of less than 1: 1 (not including areas that have 0).4 As stated above, a 10 improvement to land value ratio does not necessarily suggest redevelopment. the context of a buildable lands inventory, jurisdictions are only interested in re e elopment that results in higher densities. nd value ratio, lands classified as built, Metro Table 3-10. Improvement t UGB Improvement to Land Value Ratio Zoning 0 5-0.49 0.50-0.74 0.75-0.99 1.00-1.99 2.00-2.99 3.00+ No Data Total development Potential Less Redevelopment Potential Eugene City Limits 370.8 115.2 75.1 67.3 47.4 512.8 937.7 768.5 78.0 2,972.7 Springfield City Limits 179.4 41.0 29.9 30.3 37.0 336.5 791.3 501.0 39.8 1,986.2 Metro UGB 432.7 102.2 66.6 31.4 41.5 100.9 115.0 126.7 38.8 1,055.8 Total Acres 982.9 258.4 171.6 129.0 125.9 950.3 1,843.9 1,396.2 156.5 6,014.7 Source: analysis by ECONorthwest Note: analysis does not include surface par i 9 I Table 3-10 shows i p ovement to land value ratio for developed lands by plan designation. The re Its show that about two-thirds of the land with redevelopment potential ( s measured by improvement to land value ratio) are in industrial plan designati s. Improvement to Land Value Ratio Zoning 0.25-0.49 0.50-0.74 0.75-0.99 1.00-1.99 2.00-2.99 3.00+ No Data Total Redevelopment Potential Less Redevelopment Potential Campus Industrial 46.7 5.9 6.9 7.5 41.7 68.9 89.9 14.3 289.3 Commercial 159.3 45.3 42.2 31.5 234.6 465.0 381.2 54.9 1,459.3 Commercial Mixed Use 15.5 3.4 3.9 5.3 45.6 40.9 49.8 13.4 183.7 Heavy Industrial 197.6 57.6 28.8 31.9 268.4 659.7 463.2 30.4 1,835.8 Light Medium Industrial 266.3 50.4 38.6 29.5 259.8 405.0 258.2 37.1 1,436.9 Light Medium Industrial M 4.7 0.4 0.3 0.8 15.1 47.2 28.3 2.3 99.2 Major Retail Center 34.9 6.0 5.0 7.7 50.2 93.5 85.1 1.2 288.3 Medium Density Res Mixed 12.8 0.7 0.8 11.4 13.6 15.1 17.5 2.7 75.9 Mixed Use 9.6 1.9 2.4 0.4 11.5 20.0 17.4 0.2 66.7 Special Heavy Industrial 221.9 5.2 0.0 227.2 University Research 13.6 0.0 0.0 4.4 28.7 5.7 52.5 Total 982.9 171.6 129.0 125.9 950.3 1,843.9 1,396.2 156.5 6,014.7 Source: analysis by ECONorthwest Note: analysis does not include surface par i. 9 Table 3-11. Improvement t :and value ratio, lands classified as built, by plan designation, Metro U 4 It is common for county assessment data to not have assess e. t information on improvements. Key examples include mobile homes and other improvements that are assessed as personal property. In e instances, data is missing. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 18 6 ~ aBed 900l Jaqwaldas aseqelea spuel ,leplsnpul pue le!~JawwoJ s~ql .sa~ptlls puuI 10J spaau 10 saInpaq~s ~llUI~UI~S aAuq lOU AUUI sa~~ua~u luaUIUlaAo~ lualaJJ~paql .sa~pnls aUI~l auo 1 110ddns la~ puu uUId Ol aA~suadxa puu lIn~YJ~p s~ JI .s~sAIuUU puu sa~oluaAu~ p I 10J, paau a1tlltlJ aq II~M alaql s~ UO~lUUI10JU~ 1allaq luql os aUI~llaAo Ol10 'anIuA JO aq Ol pau~UI1alap s~ l~ su ~uoI s ollaqlaqA\: apuUI aq Ol spaau uo~s~~ap u 'oS aUI~l su ItlJasn ssaI puu ssaI aUIo~aq II~M l~ In aql s~ l I . 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SlUamU.laAO alqRPI!oq R luasa.ld Ol papUalU! lOU SRM. ~ AluUI~d aql s~ asuqulup A10luaAu~ puuI a puu IU~~laUIlUo~ JO asuqulup u dOIaAap Ol uq puuI IU~llsnpu~ puu IU~~laUIUIo~ au~~sap SUM II eluamo~op A~!IOd osuods aqllRql A.lOluaAU! SPURI fO.ld S!qL ol~afold aqlJO l~npOld o AlunoJ auu1: U~ SpuUI IU~lSnpu~ M l~afold S~qlJO asornnd aql xaN pue !~e~!ldWI tJa~de4~ database was based on t eregional GIS database. The easiest and least expensive way to maintain the data se product is to move it to the regional GIS system and maintain it with informa i . n from the permit processes of the participating governments. This has rked very well for residential land for decades. The information would be av able on the regional network at as close to real time as possible. The cost of im oved data collection would be assumed by the agency departments issuing buil ., g permits. The cost of database maintenance would be included in the regional S database. DATABASE OPTIONS LAND INVENTORY . Option 1. Accep he database and end the project. . Option 2. Desi a process to maintain the database over time so that better informatio . s available for future studies (including those required by the State), to nitor change in the inventory and for other planning and economic de lopment projects. Recommendati '. There will be future need for land inventories and analysis. It is diffic I and expensive to plan and get support for one- time studies. The differe t government agencies may not have the similar time schedules or needs:6 land studies. This database was based on the regional GIS database. The iest and least expensive way to maintain the database product is to move i t, the regional GIS system and maintain it with information from th ermit processes of the participating governments. This has worked very we I or residential land for decades. The information would be available on the r ional network as close to real time as possible and it would is possible to I velop Internet applications. It could also be integrated with all other land d t , including residential land, and would be encoded in a way that would also s ' pport other types of analysis, such as for transportation modeling or stormw r planning, for example. The cost of improved data collection would be sumed by the agency departments issuing building permits. The cost 0 e database maintenance would be included in the regional GIS databa . WAYS TO IMPROVE THE QU ITY OF LAND USE DATA IN LANE COUNTY It is feasible to achi a reasonably high quality and consistency of land use data throughout all oft .urisdictions within Lane County at a very low cost. A primary objective of the gional GIS system that was started 35 years ago was to collect and computerize I nd use data. The continuing nee or land use data is evidenced by recurring local investment in point-in-t e inventories and supply analyses of various classes of vacant, commercial, in trial, and residential lands. The Commercial and Industrial Buildable La s (CIBL) project is the latest example of local agencies seeking to get a handle current land use in their respective jurisdictions. The Commercial and Industrial Lands Database ECONorthwest September 2006 Page 20 ~ laced 900l Jaqwaldas aseqelea spuelleplsnpul pue le!~JawwoJ ~U~~l~UI~ 'l~AO~lOW .S~~lnos 10quIl~~lunloA ~. lO 10 SUl~lU~ lu~pms JO ~~UUlS~SSU ~lJl ~U~lS~IU~ ~u~pnl~u~ P~loldx~ ~q PI ~ s~lJ~uolddu ~U~AUS lSO~ ~A~lU~lJ .UlUp ~lJl ~U~J~l pUU lU~UI~lddns Ol P~lu ~ldUI~ ~q Plno~ UIU1~01d ~u~ldUIus Al~lunb puu lJ~lU~S~l PI~Y ~u~o~uo puu lU ~l V .UO!lB~Y!J:a A Play ~!po!J:ad .(1# UI~l~ ~~s) ss~~old ~~uuU~lU~UUI ~s 'uuI ~u~lnol puu lsnqol ~lOUI U Olu~ P~lUl~~lu~ ~q PIno~ Slu~uodUIO~ JO p~puu l~lJlO puu ~s~lJl .s~suq Iunuuu uu UO Ulli ~lU UO~lUUIlOJU~ l~lJlO puu 'SlU~UIU~~SS sUI~ All~dold 'suO~lunIuA 10SS~SSV SU lJ~ns S~~lnos A1UpUO~~S lJl~M s~IY ~S uUI SID ~ludUIO~ lUlJl s~lnp~~old (JO) IOllUO~ Al~Iunb JO l~qUInu V .a~u llSSB Al!IBllb palBWOlllB pUBdx~ .(1# UI~l~ ~~s) SA~AlnS ~~po~l~d puu sl~~fold A~U~~U ~UI~l-~uO JO l U puu 'S~~~Al~S UlUP UO~ld~l~sqns IU~~l~UIUIO~ P~l~~I~s '~IY lU~UIAoldUI~ lunuu -' q ~lJl ~u~pnI~u~ S~~lnos IUUO~l~Ppu Aq P~lu~UI~Iddns ~q PIno~ UlUP ~sn puuI ~U~lS. x .sa~J:llOS BlBP Mau alBJ:odJ:o~UI .UO~lUUIlOJU~ puuI IU~lsnp ~ uu IU~~l~UIUIO~ JO Al~Iunb p~l~S~p ~lJl ~U~p~AOld 10J ~U~){~UI ~lU lnq spuuI IU~ ~p~S~llOJ II~M AI1~UJ P~){lOM ~AUlJ 'sl~UIlad ~u~PI~nq Iu~ol UI01J MU1P lJ~~lJM 's~ss old a~uuualu~uUI asn puuI luallnJ .UO~lUUIlOJU~ ~sn puuI u~UlU~UUI Ol pOlJ lua~~~JJa lSOUI puu lsa~su~ alJl aq PInoM sassa~old ss~u~snq lualln~ UI01J UO~lU u~ asn puuI papaau alJl ~u~l~aIIoJ .asn puuI lnoqu UO~lUUIlOJU~ ItlJasn JO lJlIuaM l~npoldAq U su 'ap~AOld sassa~old ~u~ll~UIlad Aluno~ puu Al~J .a~J:llOS aqllB uo l wJ:oJU! alaldwo~ aJ:ow aJ:llldBJ JO I~AaI alU~ldolddu alJllu l~ ~u~po~ua puu Allu~~~YJa alU s~ssa~old a~uuualu~uUI alns ~sn PUUI10J spaau las[l .sassa~oJ:d a~UB . 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S! lBqM U! lsaAuI .apu~ap U UUlJl ~lOUI 10J AlunoJ ~uul u~ a~uld u~ uaaq ~AUlJ lJ~ ;M sassa~old a~uuu~lU~UUI UlUP asn pUUI13U~AOldm~ P1UMOl a)]"ul uu~ UO~~gl gql S S JO lS!1 pg)]"UUl U S! 13U!MOIIOd .UO~lU oJu~ asn puuI u~UlU~UUI Ol a~uld u~ lnd aAulJ AalJl sassa~old alJl puu aAulJ AIlualltl ~alJl UlUP alJl JO suo~l~~ps~nf lu~oI UIlOJU~ Ol papa au s~ lUlJllloJJa luu~g~u~~s alJl 10lU~~pu~ uu oSIu s~ l~afold IS:IJ technology such as pers promise to make such ef Commercial and NGO rtnerships. If there are non-governmental agencies in the community that relia inventory land use or track commercial development, the region could explore a angements for obtaining supplemental data and independent data verific ton services. I data assistants (PDAs) that have GIS capability s easier in the future. LAND INVENTORY OPTIONS The project prov.d: d a preliminary assessment of the supply of commercial and ind s' ialland in the Eugene-Springfield Urban Growth Boundary. There ar an,y options that could be pursued, but the first question is whether r'not to extend this project State law, prudent planning, and local conflicts is es (between Eugene and Springfield, among elected officials in the same verning body, and among various interest groups) strongly suggest the ed for a land needs analysis for the Metro area. Though the costs (direct and litical) of such a study are large, the costs of not addressing these iss e are larger. At risk are regional partnerships on land use planning and econo i. development, and relationships between local government and bus. ss. Without a comprehensive evaluation and decision, the land supply issu ill continue to be an issue for all jurisdictions and will inhibit other efforts t i~proving regional cooperation quality of life in the region by t~king tim nd resources away from other efforts, and by failing to provide a framewor r future private and public development. Proceeding with I the sponsoring agencies will require the approval of policy assumptions, ciding if the project should be expanded to include residential land, dev I ping land demand estimates and comparing the supply with the demand. There are severa ptions; four are discussed below: t the current project. Let the elected officials of each n and how they will proceed with land inventories. es the cooperative efforts of the sponsoring ould result in a project that will cease to be useful for e. . Option 1. Close agency decide w This option miti jurisdictions and its intended purp . Option 2. Coop r te, identify and fund the next steps of the commercial and industrialla s study. The continued cooperative efforts could result in a useful datab e useable by all agencies for the intended purpose of the project. The fun ng to support this option is not designated and depending on th ost could be a deterrent in selecting this option. . Option 3. Coop r., te, design and schedule an expanded land needs study. This option coul xpand the study to include residential lands. A land needs study coulbe useful for all sponsoring j1.;lrisdictions however, some are already in va .. us stages of such a study. Cooperatively funding such Commercial and Industrial Lands Database ECONorthwest September 2006 Page 22 El aBed 900l Jaqwaldas aseqelea spuelleplsnpul pue le!~JawwoJ OIU~lU~lOd lU~UIdol~A~P ~~UIOUO~~ Al~un ~ JO lU~UISS~SSU uu (p) 'spuul IU~lsnpu~ puu lU~~l~UIUIO~ JO A.IOlU~AU~ (~) 'Slu~UI~l~nb~l ~l~S JO UO~lU~Y~lu~P~ (q) 'SpU~ll lUUO~lUU puu ~lUl 10 M~~A~l U (u) s~pnl~u~ luql (~IOO-600-0991IVO) s~sAluUU S~~l~Ullllod ~~UIOUO~~ uu l~npuoJ 01 :S~~pmS q~ns 10J )]:10M~UIB1J gU~MolloJ ~ql s~qs~lquls~ UIU1801d gu~uuu ~p~M~lUlS ~ql o600-0991IVO puu 6 IUoO Aq P~UIU1J ~q Allu~~gol PlnoM ApmS ~ os~sAlBUU pUBUI~p U ql~M ~suqBlup ~ql JO ~sn ~ql ~U~qUIO~ Ol ~q PlnoM d~l x~u sno~Aqo ~ql 'lU~lu~ s~ql U~A~O o~lquPl~nq ~lU spuul lBqM lnoqB Suo~ldUInss ~l~JJ~P 8u~sn ~sBq pUBl IU~llsnpu~ pUB lB~~l~UIUIO~ ~ql JO S~lBUI~lS~ ~lB8~1 B dOI~A~P Ol SUO~l~~ps~nf losuods ~ql MOllU PlnoM luql UI~lSAS U dOI~A~P Ol :lU~ ~ SUM ~S~~l~X~ ~ql JO lU~lU~ j~pBOlq ~ql os~sn ~ld~llnUI 10J P~ug~s~P SUM l~~fOld llOJ p~dOI~A~P ~suqBlup ~ql os~~pms q~ns JO s~s UI~ A.IUUI~ld ~ql u~~q sBq 17 I luoD Aq p~l~nb~l su sHOn u~ql~M spuulJo A~U~~~ ns ~qlJO uO~lunluA~ 'SlU~UIUl~A08 lu~ol Ol sly~u~q IU~lU~lOd AUUUI ql~M ~S~~l~X tlJ~sn U s~ 8u~Ol~uOUI Alddns pUBl ~1~lJM o(HOn U Allu~~dAl) U~lU ApmS p~uy~ gld U U~ql~M spuul llu ~pnl~u~ A~ql -~do~s u~ gA~SU~q~ldUIO~ Allu~~dAl ~lU s~s I UB q~ns os~sAluUB spuBl ~lqBPl~nq . l~pUOlq U JO lUguodUIO~ ~uo Allunsn s~ A.IOlU~ ~ spuul ~lquPl~nq U 'U08~lO UJ A ~\111\111\1 n S 6 I u~ pgldopu SUM UUld OllgUI ~ql ~~U~S P~l~ldUIo~ ApmS 17 I luoD ~A~SU~q~l O~ U Ug~q lOU SBq gl~ql ~SUgS lBql uJ 0 A.IOlU~AU~ p~~u pUUl IltlJ U OlU~ P~luP~1 uo~ l~AgU puu 'S~Ul~llU~l~JJ~P lU gUOP ApmS spuul lU~lU~P~Sgl U puu' nlS spuuI lB~llsnpu~ puu 'ApmS spuul lB~~l~UIUIO~ U SUM gl~ql :Allu~Pu~dgp ~ uop llu ~l~M s~~pms JO punol lsul gql 'luno~ nOA MOq 8u~pu~d~p 'SlUgA OZ 0 I u~ B~lU UUl~lodoll~UI ~ql u~ gUOP u~~q lOU suq ApmS ~A~SU~q~ldUIO~ V 'A s P~gU puuI U 8u~op 10J ~n81B llu ss~u~snq pUB lU~UIUl~A08 U~gMl~q lJ~ 19lU U JO )]:s~ ~ql pUU ~lU~UIlS~AU~ ~lm~illlSB1JU~ ~~lqnd puu ~~J~l JO Al~lun ~lUgUIdol~A~P ~~UIOUO~~ lnoqB SUl~~UO~ ~luUI~l~g~1 ~(puul JO Alddns lUgA-OZ usuq HOn U luql UO~luu~UU~l~P U 10J lU~UI~l~nb~l ~ql puu '6 IUoO 'AllU~~g s) MUl glUlS osuo~s~~~p 8U~)]:UUI lOU Aq suo~s~~~p gu~uuuld gU~)]:UUI ~q lI~ SlU~UIUl~AOg Oll~UI ~ql 'ApmS U q~ns 8u~op lnoql~A\ op~p~~u s~ ApmS puul ~A s ~qgldUIO~ V oApmS A.IOlU~AU~ puu sp~~u puul ~A~SU~q~ldUIO~ U op Ol lUUI~lS~ lSO~ puu Slu~UI~l~nb~l 'Suo~ldUInssB ~ql 8u~dol~A~P 10J s~suq U l~~fold ~ql ~sn '17 UO~ldO .uO!lgpuammOJ~lH PUUl ~A~su~q~ldUIO~ U op Ol S~lUUI~lS~ lSO 'Suo~ldUInssu gql 8u~dolgAgp 10J S~SBq U APlllS A.IOlU~AU~ puu sp~~u uu sl~npold 'Slu~UI~l~nbgl l~~fold gql ~sn '17 UO~ldO . 'U B OllgUI gl(l u~ UO~lUUUOJu~ ~sn puul 10J ~~lnos gl8u~s U gp~AOl lno~ ~suq UlUp lU~lUgp~S~l 8U~lS~Xg gl(ll(l~M A.IOlU~AU~ lU~~l~UIUIO~ 8U~U~qUIOJ 'suo~l~~ps~lnf lIB Ol ItlJ~sn ~q Plno~ lUl(l UlUp glUP 'l-dn gp~AOld Plno~ ApmS U 2. Adopt or rea s. ss policies stating the economic development objectives of .e planning area (OAR 660-009-0020). The policies must state th verall community development objectives, and include a commitme t 0 provide adequate sites and facilities to accommodate desired devel ment. 3. Designate la for commercial and industrial uses (OAR 660-009- 0025). Jurisd c ions must. identify needed sites, identify long- and short-term d and for land (e.g., serviceable within I-year), and provide a 20- ar supply of land. LCDC adopted ame which clarify some of th ents to the Goal 9 administrative rule (OAR 660-009) equirements and refine the framework: . The amendment i elude guidance for local plan policies including, ~aintaining dowowns or central business districts, strategies for replacing short-t land as it is developed, emphasizing the expansion of existing industri s . and firms, and brownfield redevelopment strategies. Providing an ade ate short-term supply of land and strategies for maintaining it ar ow mandatory for cities and counties within a Metropolitan PIa ing Organization (MPO). . The amendment mphasize the current state policy on short-term, serviceable sites. tarting January 1, 2007, OAR 660-009-0025 requires cities and counti within a Metropolitan Planning Organization to have a competitive sho - erm supply of land. A competitive short-term supply of land provides a ge of site sizes and locations to accommodate the market needs of ariety of industrial and other employment uses. The rule provides gu'd nce in the form of "a percentage is provided for competitive sho - erm supply of land. That percentage is 25 percent of the total land supply ltemative methods of compliance are provided and include a link to e industrial site certification program. The rule also enables cities an ounties to consider availability when designating short- term supply. In summary, the init analysis in of the land base, combined with recent changes to Goal 9 and i administrative rule suggest that a prudent next step would be to complete a conomic Opportunities Analysis and evaluate both the long- and short-term su ly of land. Such a study will require some complicated policy discussions-pa i ularly around issues of under-utilized and redevelopable land in Ii t of the region's economic development objectives. 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U l~npuo~ Ol s~ SUO~l~B1~lu~ lJ ~zAluUU Ol AUM ~uO oSUO~l~Ul~lU~ l~)[lUm ~lUlS~ IU~l UU~l-8uoI u~ P~lS~l~lU~ ~q nOlJs Sl~uuUld pUB sl~doI~A~a .SlU~UlUl~A.08 8U~1 ods ~lJl JO AUU Aq uo~s~~~p A~~Iod U lU~S~ld~llOU s~op 110d~1 S~lJl u~ P~lU~S~ld no ~lJl 'UlUp Alummns SlU~S~ld ~~ ~I~lJi\\ .s~~OlU~AU~ IU~OI dOI~A~P Ol p~sn gq U lUlJl ~suqUlUp SPUUI IU~lsnpu~ pUU IU~~l~mmo~ U U~ p~lIns~ll~~f01d s~lJl .S~~Ol ~ U~ PUUI ~IqBPI~nq l~npuo~ Ol p~sn sUO~ldmnssu pUU spOlJl~m IU~~dAl JO M~~Al J~~q U S~p~A01d l~ldulJ~ s~lJl M31^~3^O sa!JoJuaAul JOj. )!J uel alqepu"s MaWeJ:I "f/ x!puadd"f/ Figure A-1. Components of c Land Needs Assessment Demand Residential 1 Population - Amount - Household size ~ - Age of HH he~d - Income Commercial - ... Employment - Amount, by tYPE Industrial SUDDlv At the parcel level ,.- Total acres - Developed acres = Vacant acres Prices - Land - Units - - Building cost - Rental rate Average persons per --. dwelling unit - Vacancy rates -" r r+ Estimate of 20- year demand for built space (residential and nonresidential) Square feet of built ~ space per employee - Employees per acre Physical ~) nstraints - Flood\NIa' - Floodp a n - Riparian :>uffer - - W etlan~ - Steep c Ie pes - Other t a ards .. Vacant acres - Constrained vacant acres = Vacant buildable acres (gross) - Land for other uses (roads, schools ~ arks, etc.) = Vacant buildable acres (net) + Redevelopable acres (net) = Total Buildable land Supply (net - Residential - Commercial Office Retail - Industrial Sou~e: ECONorthwe~ LAND SUPPLY .. ..... ...... + ..4~ Estimate of 20- year demand for land, by type Land supply inventories are primarily about existing conditions. Analysts do not typically forecast fu1ru e supply independently. Rather, they forecast demand and then look at existing luildable and potentially-buildable supply to see how to Commercial and Industrial Lands Database ECONorthwest Ratio of improvement to land value September 2006 Page 26 LZ aBed 900Z Jaqwaldas 83 aseqelea spuelleplsnpul pue le~~Jaww08 ~1~A\. lU~UIdol~A~P ~U~lS~X~ ~ql SS~l pUu) "p~dOl~A~P" su P~Y~SSU1~ ~q Plnoqs P lU~~U Uu lU ~U~)f00110 PUUl ~ql ~U~)flU JO ~~u~squ ~A~lUl~l ~ql SU P~UY~P S~ A~UU~ lln~YJ~p 13 lOU s~ "A~UU~UA" 'lU1~U~~ uI .S l~qlO 10 S~llll~rulS lnoql~A\. PUUl SUU~UI PUUll lU~UIdol~A~P A\.~U p~pnl~~ld snql lluqA\. UO ~~l~U Plno~ qdU1~Oloqd Ido~d lSOW .SUO~l~rulsuo~ uUUInq p~P~A01d '~)fUUI Ol UO~lUU~UI1~l~P ~UI~A01dUI~ ~pUUI-UUUI lUU~~J~U~~S ~UA luql S~lU1lsnll~ l-V ~ln~~d lSaM4l.JON083 :a~Jnos PU8l lU8~8^ ^118l01 PU8l lU8~8^ ^1I8!lJ8d PU8l alq8dolaAapaCj PU8l alq8PI!ns .popad 6U~UU8Id a41 6upnp 1uawdolaAap Mau lJoddns 01 alq8H8A8 811841 puel (adOIS daels 'U!8Id POOl! 'SpU8naM '.6.a) SlU!8JlSU08 18~!S^4d PU8l peU!8JlSUO~ .popad 6u~u e a41 Bu. p 1uawdola p Mau lJoddn 1 alq8n8A8 l. S! 1841 P popad 6U!UU8Id a4l 6upnp ^8lS Ol ^la)!!1 luawdolaAaa 4l!M PU8l (6u!uoZ '.6.e) SlU!8JlSU08 ^~!I0d (4~Jn4~ 'I004~S 'p80J ')!Jed '"6"a) pU8lleuonnmSUI pue ~!Iqnd ( slUaWaAOJdw! lU8~!!!u6!s ON) puellu8~8^ ( slUaWeAOJdw! ep8w-u8W Ja4l0 JO seJnpnJlS) pU8l padolaAaa PU81 IIV' puel ueqJn JOj aw ~S UO!le~!j!SSel~ .Z-\;J aJn6!:I .U~lU uuq1n AUU Ol ~lqU1~JS II pUU lU~lS~SUO~ AIIUU1~lU~ S~ lUql AUA\. ~UO SA\.oqs l-V ~lng~d .p~uy~p ~q UU~, UUl ~lquPl~nq" pUU "pUUIlUU~UA" lUql SAUA\. AUUUI ~lU ~l~ql .po~~d ~U~UUUld ~ gu~np lU~UIdol~A~P 10J ~lqul~uAU ~q 11~A\. lUql SPUUl ql~A\. pgWg~UO~ Al~ ~d glU Sg~OlUgAU~ pUR'] oglRlS Sl~ UO ~u~pu~d~p SARA\. lUg1~JJ~P U~ P~Y~SSU1~ ~q ~ pUUIluql SA\.oqs l-V ~ln~~d . A1SnO~UUllnUI!S p~lunluA~ ~lU pUUUI~P pUU Alddn loq 'Allu~PI opUUUI~P ~ql Ol q~lUUI demolished). They migh Iso agree, in broad terms, on certain attributes of the' land that constrain'its de lopment (either physically or legally) and suggest that it be classified as unbuil ble. Complications occur hen the physical assessment of vacancy gets overlaid on tax lot boundaries. If x lot boundaries did not have to be considered, then every square foot of Ian ould be characterized as vacant or developed. Tax lot boundaries, however, ofl e lump developed and vacant land together on the same tax lot (e.g., one house 0 a three-acre lot). Thus, on a tax lot level vacant land that is not constrained (i e , buildable land) comes in two varieties: totally vacant (no significant improve nts on the tax lot) and partially vacant (sometimes referred to as under-utili d land). Redevelopable land s not vacant, but it is available to support some of the new development dema ed by the increasing population and employment. Redevelopment occurs 0 edevelopable land. Here again the definitions are important and messy. It is clear that if a b .1 ing is removed and something is built in its place that redevelopment has occu d. But the tax-lot problem occurs there also~ What does one call a situation whe e vacant portion of a large tax lot gets development, without demolishing abiding elsewhere on the lot? Or when an existing structure is added to, in asing the density of development? Some jurisdictions u the term infill for this type of development. They may even apply the term to a t x lot itself: if surrounding tax lots are primarily developed, then an isola buildable tax lot (i.e., a tax lot totally or partially vacant) is also an infill t lot. Figure A-2 simplifi ome of these issues to define three types of land that can support new develo ent: buildable vacant land, buildable partially-vacant land, and redevelopable 1 nd. Given the amount 0 evelopment in any urban area, it is necessary to use some type of database stem for the land inventory. After assembling databases, the next step in the sup analysis is to classify each tax lot in the UGB in to a mutually exclusive cate ry. This classification typically includes the following categories: . Vacant land. Va nt Land means tax lots with no development. Some definitions use a inimum improvement value and size threshold for vacant land. . Partially-vacant I nd. Partially-vacant tax lots are sometimes called "underutilized" a d. This includes tax lots that have some development on them, but als ave visible vacant areas. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 28 6e aBed gOOe Jaqwaldas 83 aseqelea spuellelJlSnpUI pue lel~Jawwo8 UgAU! ^Iddns Ie~oI gql JO ~UIUUI~gq gqlle pgUIlli1glgp gq Plnoqs sluIellsuo~" JO lS!{ ~ypgds gql . 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'SAUMPOOlJ puu su~uldpoolJ puu :s~UOZ uo~sUUdX~/AU 1l0d1~u :po~l~d l3U~UUUld ~qll~AO ~lqu~~~Al~sun SU~lU :s~UOZ UO~l nu~ ~muunsl :SU~lU lUl~quq IU~!l~~ :SP1uzUq ~!l3010~l3 :(s~sn PUUllu!llSnpu! uu IU!~l~mmO~ 'IU!lU~P!S~l 10J AlUA AIIU~!dAl SUO!l!UY:~p) s~dols d~~lS : !1~lOqS puu SU~lU uu~ud~ :spuuIl~M L :~pnl~u! S~!lOlU~AU! spuuI ~lqu . nq U! P~l~P!SUO~ AIIU~!dAl ~lU luql SlU!UllsuoJ :SlU~UllSUO~ JO S~~Ol3~l IUl~A~s ~lU ~l~ql '(sI~~lud uo lu~mdol~A~P l3U!lS!X~ puu s~~upunoq l~~ U uo p~suq lUU~UA AIIU!llUd puu lUU~UA AIlulOl OlU! P~P!A!P l~qllt1J S! q~!q puuI ~lquPI!nq l~l3 Ol puuI lUU~UA IUlOl mOlJ P~l~ullqns ~lU SlU!UllSUO lU!UllSUO~ JO ~dAl ~mos Ol ~np p~dOI~A~P ~q lOuuu~ luql puuI S! puu! p~ llSUOJ 'puvl pau!v.fJsuo:J . The definitions prov do not, however, addres is vacant or developed. space as well as land. T vacant built space can i example, a district that vacancy rate may have e little demand for land in t d above address the physical attributes of land. They hat is on the land beyond classifying whether a tax lot upply analysis should also consider the supply of built key point here is that the supply of occupied and ence demand for both land and built space. For 5 million square feet of built space with a 30% ectations of a future demand for built space, but have e short run until excess supply is absorbed. Data on built space occupancy can be inventoried and included in a database or geographic i ormation system. While it is rare to find comprehensive database of built space, t er methods exist to address the derived demand for land through demand fo uilt space. Data on built space can be inventoried at the time building permits ar ssued. Data on vacancy rates is more dynamic and requires continual monit 'ng to maintain accuracy. In the u.s. it is not unusual for real estate or develo ent companies to maintain such databases which are used to conduct develop nt-specific market analyses. Methods for identi . g buildable land can range from relatively simple, field- based inventories for s 1 areas, to complex and resource-intensive ones for large regions. The degre f detail and precision needed for a vacant land database should be dete ined by the purposes of the inventory. BUILDABLE LAND INVENTORY 1. Calculate the gr vacant acres by land use designation, includingfully vacant and parti ly vacant parcels. The first step requires parcels to be classified as vac t, partially vacant or developed. The amount of vacant land is then tabu ed by the planned land use from the comprehensive plan. 2. Calculate gross ildable vacant acres by plan designation by subtracting unbuildable acr s rom total acres. Not all vacant land is developable. Lands with envi ental constraints such as steep slopes, floodplains, or other natural ha a ds are deducted from the inventory. This deduction yields "buildabl "acres, or the amount of land that is" available for development. 3. Calculate net bu"l able acres by land use designation subtracting land for future public fac'l ties from gross buildable vacant acres. Not all buildable land will be use or development; streets and other public facilities will require land. Th s deduction results in net acres. x The process of deve 0 ing a buildable lands inventory is not particularly complex. The steps and b-steps in a supply inventory are: x Gross and net buildable acres are typically defined as folIo Commercial and Industrial Lands. 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Sample buildable residential lands worksheet Minus Eauals Mim~ 'Eauals Minus Eauals Divided bv Eauals Tax Total Developed Gross Constrc ~ir ed Gross Acres for Net Density Capacity Lot# Acreage acreage vacant acre s buildable public buildable (DU/gross (in DU) acreage vacant facilities vacant acre) acres (250/0 ) acres Single-Family (Low Density Residential) 1202 10.0 0.0 10.0 1.1 8.9 2.2 6.7 5.0 33 1400 5.0 1.0 4.0 0.0 4.0 1.0 3.0 5.0 ,15 1506 8.0 8.0 0.0 0.0 0.0 0.0 0.0 5.0 0 Subtotals 9.7 47 Multi-Family Residential (High Density Residential) 2000 20.0 0.0 20.0 2.0 18.0 4.5 13.5 10.0 135 4500 3.0 3.0 0.0 0.0 0.0 0.0 0.0 10.0 0 Subtotals 13.5 10.0 135 Totals 23.2 183 Source: ECONorthwest Once the specific dej i litions are agreed upon, each parcel is assigned a classification in the parc e] table of the GIS database. The easiest way to complete this is to develop a rule-l ~, sed approach and then to follow up with field verification of the classi 1( ations. Classification of each tax lot allows the database to be queried at ~( analyzed by tax lot and classification. Commercial and Industrial Lands Database ECONorthwest September 2006 Page 32 -----..--------------.-----..--.--.-.'.-.-- -- - - --.... --'- "U~lU 01l~UI ~ql10J ~suq puul ~ lU ~A~U Ol u08Alod ~sn puul 01l~W ~ql pUU ~l~J s~ql U~~M.l~q P~UIlOJ1~d SUM. ~lUl~do AUll~AO SID U puu ~8Ul~AO~ UO~lUu8~s~a uUld Oll~W ~ql Ol P~~ld SUM. Al~nb lU~lUds Y "Pl~g8u~ldS JO Al~J puu ~u~8n3: JO Al~J Aq p~g~lu~p~ ~l~ suq puul ~ql u~ p~pnl~u~ ~q Ol ~1~M. luql s~ssul~ UO~luu8~s~p uUld lU~lsnpu~ p U lU~~l~UIUIO~ 'U~lU Oll~W ~qllO d .~8Ul~AO~ UO~lU ~s~a uUld Oll~W P~ldopu AIM.~U ~ql (€) puu :~8Ul~AO~ u08Alod ~sn puul Oll~ ~ql (z) :~8Ul~AO~ u08~10d ~sn puul AlunoJ ~uul ~ql (I) :~suq puul ~ql ~~np 1 Ol DOJl ur01J s~l~J SID A~)f ~~l1{l ql~M. p~)flOM. OJ3: .~suq puul ~ql 8u~l~~ 10J U~l~l~l~ ~ql ~z~luuy Ol JY l ~ql ql~M. 8U~)flOM. 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J3: "PUUllu~llsnpu~ puu lU~~l~UIUIO~ JO ApmS s~ql u~ p~pnl~u~ 8u~~q 10J U l~l~~ ~ql 8u~lg~ur u08Alod ~sn puul Al~A~ 10J p10~~1 g18u~s U su~uluo~ ~lqul s~q "( I ~ln8~d u~ aS8{[ pUR']) ApmS s~ql 10J ~suq puullulOl ~ql 8u~snoq ~lqul u s~ ~ U UlUp gql JO lu~ur~l~ lU1lU~~ ~ql " (qloq 10 u08AIod ~sn l/lOl XUl) lU~lX~ ~~qdU180~8 ~ql puu 'U~UlUO~ 11~M. ~lqul ~qlluqM. JO UO~ld~l~S J~~q U '~~lnos UlUp ~ql '~UIUU ~lqUl ~ql s~pnl~u~ II "~suqulup ~ql u~ p~pnl~u~ s qUl JO lS~l U S~p~AOld I -g ~ln8~d UU~ luql ~suqulup sS~~~Y SW UU u~ql~M. ~suqulup lUUO~lUl~l ~ldUI~s Al~A~lUl~ ql~M. slu~UI~l~ UlUp 8u~lU18~lU~ s~ UI~lSA "S~8Ul~AO~ SID A~)f Ol )fU~1 snoq ~lU slu~UI~l~ UlUp ~ql "u8~s~p p~sn OJ3: "S~8Ul~AO~ SID 8u~lS~x~ suqulup s~ql ql~M. ~8u~11uq~ ~ql 3~nl~n~lS3SV8Vlva sa~Jnos :8 eo jO ewwns !puaddV F or the land outside th etro area, commercial and industrial zoning designations that were to b 'ncluded in the land base were identified by TAC members representing Lan ounty. Spatial queries were applied to the Lane land use polygon coverage t arrive at the land base for the lands outside the metro area. A detailed fio diagram is included at the end of this appendix that documents all of the indivi al processes used to generate this file. This process produced single GIS polygon file with new unique identification attributes th t illbe used to populate the Access database. This step is important for the n step of populating the database but will also be instrumental for linking th esults of later database queries back to the GIS for map display. ECO designed a datab s structure that is simple and straightforward. The goal was to create a struc r that can contain all of the attributes identified by the partner agencies as val ble to this study and that can be effectively tied to the outside GIS files, data es, and spreadsheets that will supply these attributes. ECO will comp I this database as "snapshot" exports from outside source datasets, but also d ument where and how static tables can later be replaced with live, dynamO queries to their source datasets. In addition, this structure creates a reposit for new data, identified by the partner agencies as valuable to the study, but ently not available from existing datasets or through cost effective spat I analysis. Tables and fields have been created to store data values generate rom site visits, air photo interpretation or other future analyses. UODAIOd lJod J asn pUB1 lSaJBaU Ol a~UBlS!a paApaa AllWlXOJd lJOd UODAIOd asn q PUBI/lOI XB.l UOllBuDlsap UBld 8081 UOllBuDlsaa UBld (GallS-uo) GG DUl~JBd JO a~uasaJd GG 6Ul~JBd alls uo sa~IAJaS J lOI XB.l Aa~ JO a~uasaJd GG sa~IAJas allsuo U06AIOd JalBM alqB6!ABU Al!W!XOJd J asn pUB1 Ol a~uBlSla paApaa JalBM alqB61ABN AaAJnS pUlrWwO~ lWDV\J lOI XB.l Alun08 aUB1 pUB1 .08 aUB1 AaAJns aUB1 uo6~IOd asn puel alqel uO!t~unr e Ot StOI xet satela~ ~Jew!Jd ases puel anlB^ BlBP luawssassV' OllB~ lOI XB.l pUB1/luawaAoJdwl WOJJ paApaa lUaWaAOJdwl sauoz a6JB4~aJ U06AIOd JalBMpUnoJ6 ABpaAO d asn pUB1 ul SBaJV' 8081 OlH punoJ8 UODAIOd lUlBJlSU08 d asn PUB1 snlBlS ABMUaaJ8 8081 ABMUaaJ8 U06AIOd lUlBJlSUO~ d asn PUBl snlBlS ABMpOOl.:l 8081NV\J3.:1 ABMpOOl.:l UODAIOd lUlBJlSUO~ d asn pUB1 snlBlS UlBld pool.:l 8081NV\J3.:1 UlBld pool.:l ( alqBdolaAapun '- UODAIOd 'lUB~BA 'padolaAap) snlBlS asn pUB1 UODAIOd JO snlBlS paApaa luawdolaAaa UODAIOd UODAIOd (alqlssod :Ala~ll a~BJJns U asn pUBl Ul BaJB padolaAaa lOu) paAlJaa padolaAaa UODAIOd ~ asn pUB1 DBIJ palBJodJo~UlUn 8081 Alun08 U06AIOd ~ asn pUB1 aWBu/DBU llwll All8 8081 SllWl1 All8 alls slaa4SpBaJds uo sassaulsnq lOl XB.l Alun08 WOJ.:I DUllSlx3 ssaulsns BaJV' SI8/BlBP SI8/asBqBlBP a lOl XB.l luawssassV' WOJ.:I sJossassV' BaJV' UODAIOd J asn pUBl slJodJlB ol AllWlXOJd paApaa A}IWlXOJd lJodJlV' lOI all.:l p lOI XB.l XBl uo (s )assaJPPV ssaJPPV 8081 ssaJpPV watl ado~s tuatx3 uO!td!J~saa a~Jnos aweN alqel ~JI~IUWns alqeJ aseqeJea · ~ aJn6!:I .DATA DieT Property Use LCOG Current and past Tax lot h land use Rail Proximity Derived Distance to nearest Land use r rail line polygon Riparian Corridor LCOG ( ~(al 5 Presence and Land use .p extent of protected polygon riparian corridor Slope Constraint Derived Area in slopes p Street ?? Access/Functional Land use j class of adjacent st. polygon Structures Assess(~r Presence and age Tax lot i of structures UGB LCOG Within UGB Tax lot/land c use polygon Wetland NWI/Lo cc I data Presents and extent Tax lot/land p Constraint of wetlands use polygon Zoning LCOG Zoning T ax lot/land b/o use polygon IONARY This appendix include~ :he data dictionary for the commercial and industrial lands database. Figure A-] >rovides a relational diagram of the data structure. The remainder of the appe ollix provides details on the data structure for the tables included in the data I pc se: . Address . Airport Proximity . Area . Business . City Limits . County . Developed Surface . Development Stah~s . Flood plain constri: li 1t . Floodway constrain1 . Greenway Constra irt . Ground H20 Over ~ry . Improvement Rati<~ . Land Base . Lane Survey . Navigable Water F r )ximity . Onsite Services . Parking . 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SI WOJj aJuelS!a :alqelepdn : UO!leluapo :dewaweN o aSle::J Wd 8[:l[:[ 900l/6l/[ (M3)O WOJj) al!S uo sassau!snq JOj lIa4S 1a3.1VlndOd .10N :Ma!^llnejaa Wd lO:vO:L 900l/8/1 :alqelepdn : uoqeluapo :dewaweN LIllI aSle::J Wd lv:[[:[ 900l/6l/[ : UO!ldpJsaa Wd lO:lO:ll 900l/0l/[ :luno)pJOJa'd : UO^8JapJO :palepdn lsel : uoqdpJsaa : paleaJ) alea sarlJaaoJd ssauIsnSlq:a :alqe~ :luno)pJOJa'd : UO^8JapJO :palepdn lsel : paleaJ) alea sarlJaaOJd JossaSSvpuelaseSlq:a :alqe~ :alqelepdn : UO!leluapo :dewaweN :aln9 :Ma!^ll nejaa lllll aSle::J Wd 00:90:01 900l/[/01 suofi^IOd asn puel JOj elep eaJV Wd 11: lS:9 900l/8/1 :lunO)pJOJa~ : UO^8JapJO :palepdn lsel : UO!ldpJsaa a nJ.1 o elep AJeu!q fiuOl elep AJeu!q fiuOl WV Sl:lS:6 900l/Sl/v :alqelepdn : uO!leluapo :dewaweN lllll aSle::J Wd LS:LS:Ol 900l/1/[ :aln9Sl.JodJ!v~uno) auel WOJj a:>ue15!a :Ma!^llnejaa Wd 8v:60:9 900l/8/1 : lU no)pJoJa~ : UO^8JapJO :palepdn lsel :uoqdpJsaa : paleaJ) alea sa!J.laaOJd eaJVICR :alqe~ :alqelepdn : UO!leluapo :deWQweN :aln9 : paleaJ) alea sa!J.laaOJd s:auleJ:asuo::>nVlq:a :alqe~ :lunO)pJOJa~ : UO^8JapJO :palepdn lsel : UO!ldpJsaa : paleaJ) alea sa!J.laaoJd kaIWIXOJd:aJodJIVlq:a :alqe~ :alqelepdn : uoqeluapo :dewaweN : UO!ldpJsaa lllll aSle::J WV vl:SS:8 900l/S/[ WV Sl :Ll:8 900l/S/[ :lunO)pJOJa'd : UO^8JapJO : palepdn lsel : paleaJ) alea sa!J.laaOJd kaIWIXOJd-SI-lq:a :alqe~ sa!:)JadoJd pue :}S!1 alqe.1 Table: tblClassification Prooerties Date Created: Last Updated: Updatable: 10/3/2006 9:33:25 PM 10/3/2006 9:34: 10 PM True Des r tion: Rec r Count: Table: tblConst_by _Plan_class Prooerties Date Created: Last Updated: Updatable: 7/26/2006 5:01:12 PM 10/19/2006 9:58:38 AM True Table: tblCountylnventory Prooerties Date Created: GUID: NameMap: OrderByOn: RecordCount: 4/20/2006 7:43:40 AM Long binary data Long binary data True 1068 Table: tblFloodplainConstraint Prooerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 1/8/2006 5:41:30 PM Def tView: 100 Yr Floodplain from FEMA FIRM GU 3/5/2006 8:35:02 AM Na e False Ori n 1365 Up Table: tblFloodwayConstraint Prooerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 12/15/2005 5:43:37 PM Def Floodway Constraint from FEMA FIRM 3/5/2006 8:35: 10 AM False 274 Table: tblGovernmentOwnership Prooerties Date Created: Last Updated: Updatable: 10/3/2006 11:40:57 AM De ption: 10/3/2006 11:41:27 AM True Re Count: Table: tblGreenwayConstraint Prooerties Date Created: GUID: NameMap: Orientation: Updatable: 12/15/2005 5:52:04 PM Long binary data Long binary data o True Land use classification, updated 10/3/06 12112 Merge of Metro UGB lots with constraints, plan designation, and classifications 16498 Tax lots inventoried by County for Rural Comp Plan Update 4/20/2006 12:30:27 PM tblCountyInventory .MAPLOT o True Datasheet Long binary data Long binary data o True Datasheet GUID: Long binary data Long binary data o True Taxlots with government exempt classifications 730 Greenway Constraint from LCOG Greenway Coverage 3/5/20068:35:14 AM False 212 a nJ 1. :alqelepdn lllll :lunoJpJoJa~ 0 : uO!leluapo aSle~ : UOA8JapJO elep AJeu!q DUOl :dewaweN Wd t:-O:t:-S:t:- 900Z/Ll/L :palepdn lsel elep AJeu!q DUOl :OIn9 )fleMSSOJJ lOI xel/asn puel :uoqdpJsao Wd OO:t:-S:t:- 900l/Ll/L : paleaJJ aleo sa!~aaoJd 61 :a6ed asegpuellq:a :alqe~ anJ1. :alqelepdn B :lunoJpJoJa~ 0 : uO!leluapo aSle~ : UOA8JapJO elep AJeu!q DUOl :dewaweN Wd LS:Ol:B 900l/S/01 :palepdn lsel elep AJeu!q DUOl :OIn9 SUO!p!pSpnr JOJ saweN DUOl : UO!ldpJsao Wd 6t:-:ll:l 900l/1l/t:- : paleaJJ aleo sa!~aaOJd dn>toolUO!:a=>>!pS!JnClq:a :alqe~ anJ 1. :alqelepdn t:-19l1 :lunoJpJoJa~ 0 : uO!leluapo aSle~ : UOA8JapJO elep AJeu!q DUOl :dewaweN WV Ll:Ot:-: 11 900l/9/t:- : palepdn lsel elep AJeu!q DUOl :OIn9 elep UOIPIPspnf SUODAIOd : uoqdpJsao Wd 60:LS:l 900l/6l/r. : paleaJJ aleo sa!~aaOJd UO!:a=>>!pSpnClq:a :alqe~ r.6SS . aseqelep OI1~ WOJJ alqel1.N3W3^O~dWI JO lJodWI a nJ 1. Wd SS:Sl:Ol 900l/S/t:- :lunoJpJOJa~ : UOlldpJsao Wd Ot:-:Bl :01 900l/S/t:- :alqelepdn :palepdn lsel : paleaJJ aleo sa!~aaOJd Ollll-:auawaAOJdwllq:a :alqe~ Lllll aSle~ Wd Or.:Ll:S 900l/Sl/t:- a nJ 1. o elep AJeulq DUOl elep AJeulq DUOl :lunOJpJOJa~ : UOA8JapJO :palepdn lsel allJ s.Jossassv WOJJ elep pJoJaJ lOI xe1. :UO!ldpJsao Wd r.l :Sl :01 900l/S/t:- :alqelepdn : uO!lelUapo :dewaweN :OIn9 : paleaJJ alea sa!~aaOJd O!:aellanleAPueldwllq:a :alqe~ 6 aSle~ Wd Sl :0[:01 900l/Sl/t:- anJ 1. o el~p AJeulq DUOl elep AJeu!q 5uOl :lunOJpJOJa~ : uOA8JapJO : palepdn lsel sdnOJ9 olle~ anle^ puel olluawaAoJdwI : UOlldpJsao Wd 10:61:t:- 900l/Sl/t:- :alqelepdn : uOlleluapo :dewaweN :aIn9 : paleaJJ alea sa!~aaOJd O!:aell-lllq:a :alqe~ Table: tblLandUse Prooerties Date Created: GUID: NameMap: Orientation: Updatable: 3/20/2006 10:53:53 PM Long binary data Long binary data o True Table: tblMetroMergedData Prooerties Date Created: Last Updated: OrderByOn: RecordCount: 10/5/2006 8:09:24 PM 10/19/20069:57:50 AM False 14336 Table: tblNavigableWaterProximity Prooerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 1/8/2006 6: 16:07 PM Distance from Willamette River 3/5/2006 10:22:43 AM False 12112 Table: tblNeighboringLots Prooerties Date Created: Last Updated: Updatable: Table: tblOnsiteServices ProDerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 4/6/2006 11:08:28 AM 4/6/2006 11:11:49 AM True 1/8/2006 7:06:45 PM Det NOT POPULATED; Shell for onsite servi data 3/29/2006 3:32: 10 PM False o Table: tblPlanDesignation ProDerties Date Created: GUID: NameMap: Orientation: Updatable: 4/20/2006 7:38:02 AM Long binary data Long binary data o True Des ri . tion: Last U dated: Ord r yOn: Rec r Count: De r tion: Re r Count: Land Use Codes 3/29/2006 3:31:20 PM False 12108 Primary file for Metro Queries. Has city boundary, plan designation, and constraint data merged in. Long binary data o True Datasheet Long binary data Long binary data o True Distance to centriod of 8 closest lots 12121 Datasheet GUID: Long binary data Long binary data o True Plan Designation 10/5/2006 9:24:08 AM False 13375 8ll aSle::J Wd II :Ol:OI 900l/I/r. JaAO JO %Sl sadolS U! eaJ'v' anJl o elep AJeu!q 5uOl alqel dn~ool ssep az!s 8lSlL OI1't! WOJJ elep SS3't!OO'v'-31IS JO lJodWI anJl o elep AJeu!q 5uOl elep AJeu!q 5uOl laaLlseleo anJl o elep AJeu!q 5uOl SJOppJOJ ueped!'t! paleu5!sap U! eaJ'v' 8ll o Il't! WOJJ alqel 3Sn- Al.'t!3dO't!d JO aAoJdWI anJl o elep AJeu!q 5uOl elep AJeu!q 5uOl laaLlseleo :lunoJpJOJa't! : UO^8JapJO :palepdn lsel : UO!ldpJsao :alqelepdn : UO!leluapo :dewaweN : uoqdpJsao :lunoJpJOJa't! : UO!ldpJsao :alqelepdn : UO!leluapo :dewaweN :OIn9 :Ma!^llneJao :alqelepdn : uO!leluapo :dewaweN : UO!ldpJsao :lunoJpJOJa't! : UO!ldpJsao :alqelepdn : UO!leluapo :dewaweN :OIn9 : Ma!^llneJao anJl o elep AJeu!q 5uOl elep AJeu!q 5uOl Wd 6l:lS:1 SOOl/81/01 :alqelepdn : UO!leluapo :dewaweN :OIn9 : paleaJJ aleo sarlJaaOJd ~u~eJ~suoJadOISlq~ :alqe~ 6 aSle::J W'v' lO:8S:6 900l/61/01 Wd II :61:t;. 900l/Sl/t;. anJl W'v' 9l:Ll:II 900l/9/t;. Wd t;.t;.:8r.:01 900l/S/t;. :lunoJpJOJa't! : UO^8JapJO : palepdn lsel : paleaJJ aleo sarlJaaOJd sseIJaz~Slq~ :alqe~ :alqelepdn :palepdn lsel : paleaJJ aleo sa!l.IaaoJd aIlll-SSaJppv-a~~Slq~ :alqe~ lllll aSle::J W'v' ll:t;.r.:ll 900l/S/r. au!! JaMaS lsasop WOJJ aJUelS!O W'v' St;.:r.r.:ll 900l/S/r. :lunOJpJOJa't! : UO^8JapJO :palepdn lsel :UO!ldpJsao : paleaJJ aleo sa!l.IaaOJd ~~W~XOJdJaMaSlq~ :alqe~ t;.lOI aSle::J Wd 6t;.:SO:S 900l/0l/t;. Wd lS:II:1 900l/r.I/t;. :lunOJPJOJa't! : UO^8JapJO :palepdn lsel : paleaJJ aleo sa!l.IaaoJd JOp~JJoJ-ue~Jed~lIlq~ :alqe~ anJl Wd r.S:Ot;.:OI 900l/S/t;. Wd t;.r.:ll:OI 900l/S/t;. :alqelepdn :palepdn lsel : paleaJJ aleo sa!l.IaaOJd a Illl-aSn- 4IadoJdlq~ :alqe~ lllll aSle::J W'v' Sl:r.r.:ll 900l/S/r. Melsn!s JO lJOd WOJJ aJUelS!O Wd lr.: t;. 1:9 900l/8/1 :lunOJpJOJa~ : UO^8JapJO :palepdn lsel : UO!ldpJsao : paleaJJ aleo sa!l.IaaOJd ~~W~XOJd:tJOdlq~ :alqe~ Table: tblStormDrainageProximity Prooerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 3/5/2006 11:34:43 AM Distance from closest storm drain 3/5/2006 11:35:06 AM False 12112 Table: tblWetlandConstraint Prooerties Date Created: GUID: NameMap: Orientation: Updatable: Table: tblXREF _RLID Prooerties Date Created: Last Updated: Updatable: Table: tblZoning Prooerties Date Created: Description: Last Updated: OrderByOn: RecordCount: 12/15/2005 5:53:41 PM Long binary data Long binary data o True 4/5/2006 10:45:01 PM 4/5/2006 10:49:26 PM True 1/8/2006 6:43:27 PM Zoning designations for Land Use; includes multiple zones 3/29/2006 3:22:08 PM False 16234 Des r" tion: Rec r Count: Datasheet Long binary data Long binary data o True Area in Wetlands (including local inventories) 3/1/2006 10:20:26 PM False 749 Import of XREF table from RLID 13190 Datasheet Long binary data Long binary data o True B B B B 8 B B B B B B B B B B B B B B B B B B B B B V aZIS 1 :afied 900l'61 Jaqo:po 'AepSJnlU. qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa qnoa Jafia U fiuOl adA.1 IW-S-3^O~9-39Vl.10J IW-3^O~9-39Vl.10J IW-MVNI9VS IW-113MS3~J IW-BS- AMH IW-N3HS09 IW-JJ1-H.10f: IW- aOOMN319 -H.10f: IW-aOOMN319 IW-9l1-66AMH IW-9l1AMH-S01I IW-3NI1.113S IW-9~nSOJ ld-S-3^O~9-39Vl.10J ld-3^O~9-39Vl.10J ld-MVNI9VS ld-113MS3~J ld-BS- AMH ld-N3HS09 1::I-JJ1-H.10f: '1::1- aOOMN319 -H.10f: ld-aOOMN319 ld-9l1-66AMH ld-9l1AMH-S01I ld-3 NI1.113S ld-9~nSOJ I1SvaI aweN suwnlO:) AlIW!XOJd-SI-lql :alqe.1 qpw' elea-1SIJ\ elea\I1S auel L v69\slJafoJd\OJ3\dS\:J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblAirportProximity Thursday, October 19, 2006 Page: 2 Columns Name DISTANCE_EUGENE DISTANCE_FLORENCE DISTANCE_COTTAGEGROVE DISTANCE_OAKRIDGE DIST ANCE_ CRESWELL MILES_EUGENE MILES_FLORENCE MILES_COTTAGEGROVE MILES_OAKRIDGE MILES_CRESWELL MAPLOT SOURCE RELIABILITY PROPERTY ID ID4BLI Type Double Double Double Double Double Double Double Double Double Double Double Text Text Text Long Integer Size 8 8 '8 8 8 8 8 8 8 8 8 50 50 50 4 8 Iqnoa 1.SNOJ-1.N3J'tI3d 8 Iqnoa JV-1.SNOJ 8 Iqnoa 1.::fOS-1.SNOJ 8 Iqnoa l.::JOS-A10d 1 N/saA l1.N3S3't1d-1.SNOJ 8 Iqnoa JV-1.01 8 Iqnoa l.::JOS-1.01 OS lxa 1. 1.01dVW t7 .JaB DUOl I1St7aI az!s adA1. aweN suwnlo::> E : aDed 900Z'61 Jaqopo 'AepSJn41. 5lu!eJlSuoJIIVlql :alqe1. qpw' elea-1SIJ\ elea\I1S auel L t769\sparOJd\OJ3\dS\:J C:\BP\ECO\Projeds\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblArea Columns Name MAPLOT PROPERTY ID ID4BLI ACREAGE ACREAGE_CIBL RELIABILITY SQ FT CONST _AC UNCONST _AC Type Double Text Long Integer Double Double Text Double Double Double Thursday, October 19, 2006 Page: 4 Size 8 50 4 8 8 50 8 8 8 L lxa .l ONDJV [ lxa .l 99n v lxa .l DVCJ.l 1 lxa .l AMN33~9 V lxa .l 0001~ [ lxa .l .lSI03~I~ l lxa .l OH~0913N [ lxa .l ~OIN3S [ lxa .l 3100IW [ lxa .l W313 8 lxa .l 9NINOZ V lXq.l XNVCJV3A [ lXa .l A.lIJ039 1 lxa .l S30N\fld V lxa .l .l19~V3A [ lxa .l lJ.lV.lS [ lxa .l lJdO~d 1 lxa .l ldSOJX.l S ~xa .l 300JX\f .l 8 IqnoO Ol.l VCJ-1I 8 IqnoO lV^dWI 8 IqnoO lV^ON\fl [1 lxa .l ldVW010 [1 lxa .l dVW010 8 Iqnoo S3~JV 8 IqnoO S.l1Nn 1 ~xa .1 300J3Sn 8 Iqnoo 3SnON\fl 8 IqnoO 1- .1OldVW 8 Iqnoo .101 8 IqnoO dVW 8 IqnoO 3dA.l 8 Iqnoo 01-.1V3~039 8 IqnoO 01-3NVl 8 IqnoO - 3N\fl 8 IqnoO ~3..13WI~3d 8 IqnoO ~9WOJ3-o::>a 8 IqnoO 1-0ID3[90 8 IqnoO eaJV-3dVHS 8 IqnoO Bual-3dVHS 8 Iqnoo 1-1- .1OldVW OS ~xa .l .lX.l- .1OldVW 8 IqnoO .lNI- .1OldVW 8 Iqnoo .1OldVW 8 IqnoO S3~JV-010 8 Iqnoo 01-010 8 Iqnoo 00J311~119 8 IqnoO 11SvOl 8 Iqnoo 0ID3[SO az!s adA.1 aweN suwnlo~ 5 : aBed gOal '61 Jaqopo 'AepSJn4.1 JossaSsvpuelaseSlq~ :alqe.1 qpw'e~eO-18IJ\e~eO\118 auel Lv6g\~::>arOJd\OJ3\d8\:J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblBaseLandAssessor TAl BLOCKGR LCC_ZONE L TD_SUBDIS X_COORD Y _COORD ZONE2 OLDID ID4BLI_1 BLIFILEC_1 Text Text Text Text Double Double Text Double Double Double Thursday, October 19, 2006 Page: 6 4 4 1 1 8 8 2 8 8 8 OS; lxa J. 3dAJ. 1 N/sa A. 31d1J.lnW OS; lxa J. 3W'VN p JaB BUOl 11SP01 OS; lxa J. 01 AJ.~3dO~d 1 N/saA. 03)[)3H) 0131~ OS; lxa J. A.1Il1S'V113~ OS; lxa J. 3)~nOS 8 Iqnoo J.Old'VW az!s adAJ. aweN suWnlo::> L : aBed 900l'61 Jaqopo 'AepSJn4J. ssau!snSlql :alqeJ. qpw"eleO-1S1)\eleO\11S auel Lp69\sparOJd\O)3\dS\:) C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblClassification Thursday, October 19, 2006 Page: 8 Columns Name ID4BLI MAPLOT MAPLOT _ TXT CLASS Type Double Double Text Text Size 8 8 19 10 8 Iqnoa V3~V-3dVHS 8 Iqnoa J -11 n::J- a I::J II lxa 1. a3I::JI~3^ II lxa 1. SSVlJ II lxa 1. 1-1. -1.01dVW 8 Iqnoa 1-11S17al 8 Iqnoa ISSVlJ-al::J Sl lxa 1. N91S3aNVld 8 Iqnoa SOdO~d- al::J II lxa 1. 1X1-1.01dVW 8 Iqnoa 11S17al az!s adA1. aweN suwnlo~ 6 :afied 900l'61 Jaqopo 'AepSJn41. ssep-ueld- Aq-lSuOJlql :alqe1. qpw' elea-1SIJ\ elea\11S aue1 L 1769\SlJarOJd\OJ3\dS\:J C: \BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblCountyInventory Thursday, October 19, 2006 Page: 10 Columns Name MAPLOT INVENTORIED? Type Text Yes/No Size 255 1 v OS 1 1 OS OS 8 8 8 8 1 az!s 11 :a6ed 900l'61 Jaqopo 'AepSJn41. Ja6a u 6uOl lxa 1. N/sa A N/sa A lxa 1. lxa 1. Iqnoa Iqnoa Iqnoa Iqnoa N/saA adA1. 11Sva1 a1 Al.~3dO~d a3)[)3 H) 01.0Hd ~1V a3)1)3H) a131::J Al.Il1SV113~ 3)~nOS 1.01dVW l.N3)~3d N1\fld a001::J S3~)V N1\fld a001::J l.::J OS N 1\fld a001::J 3)N3S3~d aweN suwnlOJ lu!eJlSuo)U!eldpool::Jlql :alqe1. qpw' elea-1S1)\ elea\11S auel L v69\spafoJd\O)3\dS\:) C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblFloodwayConstraint Columns Name PRESENCE FLOODWAY SQ FT FLOODWAY ACRES FLOODWAY PERCENT MAPLOT SOURCE RELIABILITY FIELD CHECKED AIR PHOTO CHECKED PROPERTY ID ID4BLI Type Yes/No Double Double Double Double Text Text Yes/No Yes/No Text Long Integer Thursday, October 19, 2006 Page: 12 Size 1 8 8 8 8 50 50 1 1 50 4 8v lxa .l 53a- .ldW3X3 [ lxa .l 89n [ lxa .l lJdO~d 8 Iqnoa ~3.13WI~3d 8 Iqnoa \f3~V 8 Iqnoa .lOldVW V Ja6 6uOl I18vaI aZ!5 adA.l aweN suwnlO~ [1 :a6ed 9001161 Jaqopo IAepSJn4.l d!4SJaUMOlUaWUJaAo9Iql :alqe.l qpw'elea~18IJ\elea\I18 auel Lv69\51JafoJd\OJ3\d8\:J C: \BP\ECO\Projects\694 7 Lane BLI\Data \CIBL_Data. mdb Table: tblGreenwayConstraint Columns Name PRESENCE GRNWAY SQ FT GRNWAY ACRES GRNWAY PERCENT MAPLOT SOURCE RELIABILITY FIELD CHECKED AIR PHOTO CHECKED PROPERTY ID ID4BLI Type Yes/No Double Double Double Double Text Text Yes/No Yes/No Text Long Integer Thursday, October 19, 2006 Page: 14 Size 1 8 8 8 8 50 50 1 1 50 4 05 P az!s 51 :aBed gOal '61 JaqoPO 'AepSJnltl lxa l. JaB U BUOl adAl. uoqe)!J!sseIJ apoJ aweN SUWnIO:l O!le~-lIlql :alqel. qpw' elea-1SIJ\ elea\I1S auel L p69\5l)afoJd\OJ3\dS\:J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblImpLandValueRatio Columns Name OBJECTID ID4BLI BLIFILECOD MAPLOT MAPLOT _I NT MAPLOT _ TXT LAN DVAL IMPVAL IL_RATIO IL_CLASS Type Double Double Double Double Double Text Double Double Double Long Integer Thursday, October 19, 2006 Page: 16 Size 8 8 8 8 8 50 8 8 8 4 V lxa 1. lllnq-JeaA-jJa V JaD DUOl :ybs-aseq-Ielol V JaD DUOl :ybs-4S!uY-lelol V JaD DUOl alaldwoJ-pd V JaD DUOl jS- oqed-alaJJuoJ S[ lxa 1. apeJD V JaD DUOl jS- AeMa^!JP [ lxa 1. SaJeldaJY V JaD DUOl jSJeD-lwsq V JaD DUOl jSlJodJeJ-pa4Jeue V JaD DUOl jSJeD-pa4Jelap V JaD DUOl jSJeD-pa4Jeue V JaD DUOl s4leqJle4-ou V JaD DUOl s4leqllnj- ou V JaD DUOl swooJpaq-ou S[ lxa 1. lepalew- jOOJ S[ lxa 1. adAl-jooJ V lxa 1. lllnq-JeaA S[ lxa 1. apoJ-AJuednJJo V JaD DUOl uOllepaJdap-sA4d S[ lxa 1. adAl-DPlq 91 lXa 1. ldsloldew [ lxa 1. apOJ-lUl-pds L1 lxa 1. ua4dA4-loldew [1 lxa 1. lOldew V DUOl lUl-lunoJJe L lxa 1. paddp15-lunOJJe L lxa 1. papped-lunOJJe V DUOl Jaqwnu-DulllaMp [ lxa 1. uOlsualXa V DUOl Pl-doJd aZlS adA1. aweN suwnlo~ L 1 :aDed 900l'61 Jaqopo 'AepSJn41. aIl~-luawa^oJdwIlql :alqe1. qpw'elea-1SIJ\elea\I1S auel Lv69\sl:>arOJd\OJ3\dS\:J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblJurisdiction Columns Name JURIS_ID ID4BLI OLD_ACRES MAPLOT _ TXT LOT _SQFT FID_FULL_J CITY DXF _LAYER LABEL JURIS JURIS_PRCNT JURIS_SQFT JURIS_AC Type Long Integer Double Double Text Double Double Text Text Text Text Double .Double Double Thursday, October 19, 2006 Page: 18 Size 4 8 8 255 8 8 255 255 255 255 8 8 8 os OS i7 az!s 61 :aBed 9002:/61 JaqoPO IAepSJn41. JaB lxa 1. lxa 1. BUOl adA1. UO!P!pspn[ 3aO)Spn[ aISpn[ aweN suwnlOJ dn)j001UO!P!pSpn[lql :alqe1. qpw' elea-1SI)\ elea\I1S auel L i769\Sl:>afoJd\O)3\dS\:) C: \BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblLandBase Columns Name MAPLOT _ TXT MAPLOT ID4BLI OUTIDs Type Text Double Long Integer Long Integer Thursday, October 19, 2006 Page: 20 Size 50 8 4 4 OS lxa .L 300J3Sn-^3~ t7 Jafi fiuOl S.lINn 1 lxa .L 300J3Sn t7 Jafi fiuOl 3SnON\fl OS lxa .L l.X.L - .LOldVW t7 fiuOl .LOldVW t7 fiuOl I1St70I az!s adA.L aweN suWnlO:) II :afied 900l'61 Jaqopo 'AepSJnLl.L aSnpuellql :alqe.L qpw"eleO-18IJ\eleO\I1S auel Lt769\spafoJd\OJ3\dS\:J C: \BP\ECO\Projects\694 7 Lane BLI\Data \CIBL_Data. mdb Table: tbl MetroMerged Data Thursday, October 19, 2006 Page: 22 Columns Name Type Size JURIS Text 9 CONSTRAINT Text 18 PLAN DESIGN Text 25 ID4BLI Double 8 MAPLOT Double 8 MAPLOT _ TXT Text 17 LOT _SCLFr Double 8 LOT_AC Double 8 SUB_SCLFr Double 8 SUB_AC Double 8 v os os OS 8 8 8 az!s El :aDed 900l'6t Jaqopo 'AepSJn4.1 DUOl lxa .1 lxa .1 lxa .1 Iqnoa Iqnoa Iqnoa adA.1 11Sval al AJ..~3dO~d AJ..IllS'v'113~ 3)~nOS .10ld'v'W lW-3)N'v' .1S1a l.::J-3)N'v' .1S1a aweN suwnlo~ Al!W!XOJdJaleMalqeD!^eNlql :alqe.1 qpw'elea-1Sl)\elea\11S auel Lv69\spafoJd\O)3\dS\:) C: \BP\ECO\Projects\6947 Lane BLI\Data \CIBL_Data. mdb Table: tblNeighboringLots Thursday, October 19, 2006 Page: 24 Columns Name Type Size UID Long Integer 4 DIST1 Double 8 UID1 Long Integer 4 DIST2 Double 8 UID2 Long Integer 4 DIST3 Double 8 UID3 Long Integer 4 DIST4 Double 8 UID4 Long Integer 4 DISTS Double 8 UIDS Long Integer 4 DIST6 Double 8 UID6 Long Integer 4 DIST7 Double 8 UID7 Long Integer 4 DIST8 Double 8 UID8 Long Integer 4 -I 1 1 1 1 l7 OS 1 OS OS 8 az!s Sl :afied 900l'61 Jaqopo 'AepSJnlLl JI~D313 ~3M3S SV9 ~3.lVM S3JI^~3S I18l7aI aI ,u~3dO~d a3>1J3HJ a13I~ Al.I1ISVI13~ 3J~nOS .lOldVW aweN suWnlO:> saJ!AJasa~!SUOlq~ :alqe.l qpw' e~ea-1SIJ\ e~ea\I18 auel L l769\spafoJd\OJ3\d8\:J C: \BP\ECO\Projects\6947 Lane BLI\Data \CIBL_Data. mdb Table: tblPlanDesignation Thursday, October 19, 2006 Page: 26 Columns Name ID4BLI MAPLOT _ TXT LOT _SQFT LOT_AC PLAN DESIGN COMM_IND? PLAN_DES_SQ PLAN_DES_AC Type Double Text Double Double Text Yes/No Double Double Size 8 50 8 8 25 1 8 8 V JaB BUOl 11Sval OS lxa .i al A.l~3dO~d OS lxa .i A.lIl lSVl13~ OS lxa .i 3)~nOS 8 Iqnoa .iOldVW 8 Iqnoa l.:I-3) NV.iS la 8 Iqnoa lW-3)NV.iSla az!s adA.i aweN suwnlo~ Ll :aBed 900l'61 Jaqopo 'AepSJnLJ.i Al!W!XOJdlJOdlql:alqe.i qpw'elea-1Sl)\elea\11S auel Lv69\SlJafoJd\O)3\dS\:) C: \BP\ECO\Projects\694 7 Lane BLI\Data \CIBL_Data. mdb Table: tblProperty _Use_RLID Columns Name propjd prop_use_app_id account_padded account_stripped account_int maplot maplot_hyphen spcLint_code maplotspi prop_use_type_cd code description Type Long Integer Long Integer Text Text Long Integer Text Text Text Text Long Integer Text Text Thursday, October 19, 2006 Page: 28 Size 4 4 7 7 4 13 17 3 16 4 5 50 8 8 8 6 8 OS 8 az!s Iqnoa Iqnoa Iqnoa lxa ..L Iqnoa lxa ..L Iqnoa adA..L ..LN3)~3d- dI~ )'1- dI~ l.:fOS- dI~ 3)N3S3~d l.:fOS-l.Ol l.X..L - ..LOldVW I18t7aI aweN suWnlO:> 6l :afied 900l'61 Jaqopo 'AepSJn4..L JOP!JJo)-ue!Jed!~lql :alqe..L qpw'elea-18I)\elea\I1S auel Lt769\5lJafoJd\O)3\dS\:) C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblSewerProximity Columns Name DIST ANCE_FT MAPLOT SOURCE RELIABILITY PROPERTY ID ID4BLI Type Double Double Text Text Text Long Integer Thursday, October 19, 2006 Page: 30 Size 8 8 50 50 50 4 t;. .JaB U BUOl p!-aJnleal0aB-alels t;. .JaB U BUOl P!- Jppe-w!!.J 1 lxa ..L Bell-pa!d nJJO - JaUMO at;. lxa ..L JSap-leJauaB-asnpuel at;. lxa ..L Jsap-asnpuel [ lxa ..L apOJ-leJauaB-asnpuel 9 lXa ..L apoJ-aSnpUel t;. lxa ..L wnq-JeaA 1 lxa ..L J eaA-lsalel-a^lpe-lunOJJe t;. .JaB BUOl lUl-lunoJJe L I lxa ..L paddpls -lU nOJJe L lxa ..L papped-lunOJJe t;. .JaB BUOl aleu!pJOoJ- A t;. .JaB BUOl aleu!pJOoJ-X Ll lxa ..L ua4dA4-loldew [1 lxa ..L lOldew 5 lxa ..L lOI 8 lxa ..L dew t;. BUOl JapJo -lJOS- Jppe 8 alea palepdn-ssaJppe-alep 8 /alea paJalua-SSaJppe-alep Ol lxa ..L aweu- AlunoJ [ lxal apoJJeq t;. lxa ..L alnOJ- JapJeJ-lelSOd 05 lxa ..L d!z-alels- AlP t;. lxa ..L t;.snld-dlz 5 lxa ..L apoJ-d!z Ol lxa ..L aweu-alels l lxa ..L apOJ-alels [ lxa ..L Jqqe-aweu- Alp-Ilew O[ lxa ..L aweu- Alp-I!ew 91 AJano laa: JapJo -lJOS - Jaqw n u-ll u n 5 lxa ..L Jaqwnu-llun 81 lxa ..L Jsap-adAl-llun 5 lxa ..L apoJ-adAl-l!un 81 lxa ..L JSap-uo!paJ!p-lsod l lxa ..L apoJ-uo!paJ!p-lSod 81 lxa ..L Jsap-adAl-laaJls 5 lXa ..L apoJ-adAl-laaJls 05 lxa ..L papped-aweu-laaJls O[ lxa ..L aweU-laaJlS 81 lxa ..L Jsap-uo!paJ!p-aJd l lxa ..L apoJ -uO!lJaJ!p -aJd t;. lxa l. xwns-asno4 Ol lxa ..L papped- Jaqwnu-asno4 t;. BUOl Jaqwnu-asno4 051 lxa ..L II nl-SSaJppe-leJUOJ 001 lxa ..L ssaJ ppe -leJuOJ t;. BUOl p!-ssaJppe-al!S az!s adA..L aweN suwnlo~ I[ :aBed 900l 161 Jaqopo 1 AepSJn4..L aIl~-SSaJpPv-al!Slql :alqe..L qpw'elea-1SIJ\elea\I1S auel Lt769\sparOJd\OJ3\dS\:J C: \BP\ECO\Projects\694 7 Lane BLI\Data \CIBL_Data. mdb Table: tbISite_Address_RLID city _geofeature_id address_geofeature_id county _geofeature_id sou rce_from_fieldj nd renumbering_ind school_ district_code school_district_name elem_school_code elem_school_name middle_school_code middle_school_name high_school_code high_schooLname ambulance_district ambulance_service_area ambulance_service_provider annex_hist_number block_group census_tract centra La rea_tra ns_study city _council_ward city_councilor_name city Jimits_abbr city Jimits_name county_commissioner _dist_code county_commissioner _dist_name county _commissioner_name election_precinct epud fire_district fire_d istrict_na me flood_ins_rate_map_community _number flood_ins_rate_map_number floodjns_rate_map _post_firm_ date f1ood_ins_rate_map _printed inc_city _limits_name Icc_board_zone Itd_district ltd_ride_source metro _flood_hazard metro _f1ood_hazard_name neighborhood_code neighborhood_name nodal_development_area nodaLdevelopment_name park_district plan_des_code plan_des_desc plan_des~ur.isdiction senate_district_code senator_name soiLtype_code soiLtype_desc soil_water _ conservation_district Long Integer Long Integer Long Integer Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text DatejTime Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Thursday, October 19, 2006 Page: 32 4 4 4 1 1 3 26 3 26 3 26 3 26 2 20 40 5 3 4 1 3 50 3 30 3 30 50 6 1 3 30 6 12 8 1 30 1 3 3 4 255 3 26 2 40 3 5 40 5 2 50 5 100 10 '[ SL '[ '[ 8 '[ '[ '[ V '[ l,[ E OE E V OS l '[ EE :a6ed 900l16'[ JaqoPO IAepSJnLl1. lxa 1. lxa 1. lxa 1. lxa 1. eu!s lxa 1. lxa 1. lxa 1. 6uOl lxa 1. lxa 1. lxa 1. lxa 1. lxa 1. lxal lxa 1. lxa 1. lxa 1. 6eu-pa!dnJJo - JaUMO ~lsal aweu-,eJpOlS!L1 6e'J-JalS!6aJ-,eUO!leu 6eU-~Jewpue,- AlP dwelSaw!l asnpue,-,eplSnpu! asnpue,-,epJawwoJ asnpue,-,e!luap!SaJ paxauUe-JeaA AeMUaaJ6-auawe,,!M pue'laM PPlS!p-JaleM aweu-q6n q6n auoZ-S!SAleUe-SueJl aweu-daJ-alelS lS!p-daJ-alelS aUOz-lJPlS!p-uoqeAJasuoJ - JaleM -!!OS aIl~-SSaJpPv-al!s,ql :a,qe1. qpw' elea-1SIJ\ elea\I1S auel L v69\5lJafoJd\OJ3\dS\: J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblSizeClass Columns Name Code SizeClass Type Long Integer Text Thursday, October 19, 2006 Page: 34 Size 4 50 V Jafia U fiu01 I18vOI OS lXa .L 01 Al.'d3dO'dd 1 /saA 03>1J3 HJ O.LOHd 'dIV 1 /saA 03>1J3HJ 0131:1 OS lxa .L Al.I1I8VI13'd OS lxa .L 3J'dnOS 8 qnoO .L01dVW 8 qnoo .LN3J'd3d 3d01S 8 qnoo S3'dJV 3d01S 8 qnoO 1.:1 OS 3d01S 1 /saA 3JN3S3'dd az!s adA.L aweN suWnlo:) Sf :afied 900Z'61 JaqoPO 'AepSJn4.L lu!eJlSuoJadolSlql :alqe.L qpw' eleO-18IJ\ eleO\I18 aue1 L v69\spafoJd\OJ3\d8\:J C: \BP\ECO\Projects\694 7 Lane BLI\Data \CIBL_Data. mdb Table: tblStormDrainageProximity Columns Name DISTANCE_FT MAPLOT SOURCE RELIABILITY PROPERTY ID ID4BLI Type Double Double Text Text Text Long Integer Thursday, October 19, 2006 Page: 36 Size 8 8 50 50 50 4 v OS 1 1 OS OS 8 8 8 8 1 az!s Lf. :a6ed 900l '61 Jaqopo 'AepSJnltl Ja6 U 6uOl lxa .1 N/sa A N/sa A lxa .1 lxa .1 Iqnoo Iqnoo Iqnoo Iqnoo N/sa A adA.l I1SvOI 01 A.l'd3dO'dd 03>tJ3 HJ O.lOHd 'dIV 03>tJ3HJ 013I::J illlISVI13'd 3J'dnOS .lOldVW .lN3J'd3d BAA S3'dJV BAA .l::J OS BAA 3JN3S3'dd aweN SuwnlO:l lu!eJlSUOJpuenaAAlql :alqe.l qpw' eleO-1SIJ\ eleO\I1S auel. L v69\51JarOJd\OJ3\dS\:J C:\BP\ECO\Projects\6947 Lane BLI\Data\CIBL_Data.mdb Table: tblXREF _RLID Columns Name xref _id prop _id taxlot_id site_addressjd owner _id Type Long Integer Long Integer Long Integer Long Integer Long Integer Thursday, October 19, 2006 Page: 38 Size 4 4 4 4 4 1 N/sa A a3M31^3'd t7 .JaB U BU01 NIl.NJ'dd 8 Iqnoa J'i-3NOZ 8 Iqnoa J.:jOS-3NOZ 1 N/sa A 1.I1d S 05 ~xa l. 9NINOZ 8 Iqnoa Z-lln::l-al::l 8 Iqnoa J.:jOS-l.01 8 Iqnoa J'i-'dOSS3SS'i t7 BU01 118t7al 05 ~xa l. 01 Al.'d3dO'dd 1 N/sa A a3)1J3HJ a131::1 05 lxa l. Al.I118'i113'd 05 ~xa l. 3J'dnOS 8 Iqnoa l.Old'iW t7 BU01 OI-9NINOZ az!s adAl. aweN suwnlO:> 6E : aBed 900l'61 Jaqo:po 'AepSJn4l. BU!UOZlql :alqel. qpw'elea-18IJ\e~ea\118 aue1 Lt769\s~JarOJd\OJ3\d8\:J