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<br />The analysis identified four models for nonresidential park SDCs. These included: <br />? <br /> – bases the parks SDC on survey results, which provide data on the <br />Actual use model <br /> <br />proportionate use of parks by residents and employees. This approach was used in <br />California, Oregon, Arizona, and British Columbia, which was the widest geographic area <br />among approaches identified. None of the surveyed municipalities that follow the actual use <br />approach have been challenged legally on their parks SDC. <br />? <br /> – bases the SDC on the number of hours that residents and <br />Hours of opportunity model <br /> <br />employees have available during the day to use parks. It assumes that employment brings <br />people into the municipality and creates a demand on parks. This approach was followed in <br />municipalities in Oregon and California. <br />? <br />– this model assumes that only residents and <br />Tourist accommodation development model <br /> <br />hotel/motel guests use parks. Municipalities that apply this model often have an economy <br />that relies heavily on tourism. (However, other municipalities surveyed, that also rely <br />significantly on tourism, have SDCs for commercial/industrial users, including <br />hotels/motels.) This approach was found in Oregon, Florida, and Utah. <br />? <br /> – in this model, the SDC is seen as providing compensation for a lost <br />Opportunity cost model <br /> <br />public good, as opposed to buying into a benefit for growth. This approach is not widely <br />used, and was found in Utah only. <br />Of the models identified, only the actual use model provided a direct nexus between <br />nonresidential development and park use. For this reason, the Project Team pursued a parks and <br />recreation facilities’ user survey, discussed below. <br />The communities’ surveyed also revealed that a variety of means are used to determine the <br /> <br /> created by different land uses. These means, typically based on the <br />amount of capacity demand <br />size and type of development, included: <br />? <br />Number of employees (typically based on employee density per square foot of building <br /> <br />space; in one case measured by number of parking spaces) <br />? <br />Number of motel/hotel rooms or their related size (for communities only charging the <br /> <br />nonresidential fee on motels/hotels) <br />? <br />Construction value <br /> <br />? <br />Location / land value (a factor on top of employee density) <br /> <br />Each approach was evaluated and found to have shortcomings in terms of linking capacity costs <br />with estimated park demand of nonresidential development. The approaches inferred this nexus <br />and generally were not based on direct measurements or specific data, which again underlined <br />the value of a parks and recreation facilities’ user survey. <br />In addition to conducting an analysis of practices in other communities, the Project Team <br />reviewed available literature on this topic. A recently conducted study on non-residential parks <br />1 <br />SDCs, conducted in Oregon by Don Ganer & Associates, included interviews with several <br />representatives of stakeholder organizations. These revealed that the most frequently identified <br /> <br /> <br />1 <br /> <br />Portland Parks and Recreation: Non-Residential Parks SDC Feasibility Study <br />, by Don Ganer & Associates, Inc., updated May <br />11, 2005 (from draft of March 3, 1999), page 15. <br /> <br />PSDCNOA P210 <br />ARKS ONRESIDENTIAL PTIONS ATTACHMENT AGE OF <br /> <br />