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Agenda - 04-11-2000-4
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Agenda - 04-11-2000-4
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Last modified
8/29/2008 4:00:28 PM
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8/29/2008 11:17:14 AM
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BOCC
Date
4/11/2000
Document Type
Agenda
Agenda Item
4
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2000 S Planning - Proposed Contract for Student Generation Rate and Impact Fee Study
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\Board of County Commissioners\Contracts and Agreements\General Contracts and Agreements\2000's\2000
Minutes - 04-11-2000
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\Board of County Commissioners\Minutes - Approved\2000's\2000
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~~ <br />2. Technical Approach. ~ For the student generation rate studies, there are several technical <br />approaches that could be taken to calculate the rate. As with mast methodologies, there are trade- <br />offs between each of them. We describe the possible methodologies in the next section. Suffice it <br />to say that it is important to understand the trade-offs from a policy, political, legal, financial and <br />land use perspective. For the impact fees, it is important to follow a methodology which evaluates <br />all relevant levels of service, casts as well as Credits, in order to make sure that the impact fees <br />meet the requisites of case law. In addition, we believe it is important to include a cash flow <br />analysis, which indicates the extent to which the school district/county needs to provides <br />additional funding beyond that which impact fees provide in order to meet the new school needs. <br />V. STUDENT GENERATION RATE METHODOLOGY AND SCOPE OF WORK <br />The passible methodologies for the public school student generation rate studies is discussed <br />first. This is then followed by the scope of work which will result in the student generation <br />rate reports. <br />A. Methodology far Student Generation Rate. <br />The RFP indicates that individual rates are to be determined for up to five different housing <br />types and, by bedroom taunt (up to four different bedroom counts). TA agrees .that pupil <br />generation rates should vazy by different housing types sines usually there is data that indicates <br />differential pupil generation rates by type of housing. It is far less clear regarding bedroom <br />count. Based on statistical analysis in the Denver metropolitan area, for example; it was shown <br />that five bedroom houses generated fewer children than three bedroom units, TA's experience <br />has been that in many districts, and each district is unique, the more expensive housing, which <br />usually has .more bedrooms, may have a lower public school generation rate than a ~three- <br />bedroom less expensive house. This issue is further clouded with the concept of what is <br />considered a bedroom and whether it is currently being used as a bedroom or not. Depending <br />on the housing market and the price of the house, it is also passible that dens, attics and/or <br />basements have been completed which can be utilized as a bedroom. These issues are further <br />discussed in task one in the next section. <br />There are several possible approaches to deriving the student generation rates. Assuming <br />cooperation from the school districts, the most successful approach is to have middle and high <br />school students fill out aone-page questionnaire during a homeroom period which asks the <br />basic questions needed far this study, For elementary school children, the questionnaire with <br />an introductory paragraph to parents, is taken home with the child. This approach has worked <br />successfully, in deriving accurate student generation rates. If the focus is an new housing, a <br />-definition of new housing is needed. Another possible approach is to conduct a telephone <br />survey of a sample of families based an information of address and phone number. Similar <br />questions would be asked to that in the written survey. A third approach is to physically <br />conduct a survey of selected housing developments and housing units within the development. <br />Again the same questions would' be asked. <br />
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