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facilities and services in the present and in a future year can be calculated . The following *4440 <br /> paragraphs explain how functional population is calculated . <br /> Residential Functional Population <br /> Developing the residential component of functional resident population is simpler than <br /> developing the nonresidential component. It is generally assumed that people spend one- <br /> half to two -thirds of their time at home and the rest of each 24-hour day away from their <br /> place of residence . In developing the residential component of IRC functional population <br /> for fees using a 24-hour versus 11 -hour approach, an analysis of IRC population and <br /> employment characteristics was conducted . Based on this analysis, it was estimated that, <br /> in the case of 24-hour days, people, on average , spend 15 . 6 hours, or 65 percent, of each <br /> 24 -hour day at their place of residence and the other 35 percent away from home . In the <br /> case of 11 -hour days , people spend 3 . 8 hours , or 35 percent of their time, at their place of <br /> residence and the remaining 65 percent away from home . This analysis is presented in <br /> Appendix A, Tables A-9 through A- 11 , and resulting percentages are displayed in Tables <br /> II-9 and II- 10 . <br /> Nonresidential Functional Population <br /> Developing estimates of functional residents for nonresidential land uses is more <br /> complicated than developing estimates of functional residents for residential land uses, <br /> given the varying characteristics of non-residential land uses . Nelson and Nicholas <br /> originally introduced a method for estimating functional resident population, now used ,.Kr'' <br /> internationally . ' This method uses trip generation data from the Institute of <br /> Transportation Engineers' (ITE) Trip Generation Manual , information on passengers per <br /> vehicle , workers per vehicle, length of time spent at the land use , and other variables . <br /> Specific calculations include : <br /> • Total one-way trips per employee (ITE trips times 50 percent to avoid double <br /> counting entering and exiting trips as two trips) . <br /> • Visitors per impact unit based on occupants per vehicle (trips times occupants per <br /> vehicle minus employees) . <br /> • Worker hours per week per impact unit (such as nine worker hours per day times <br /> five days in a work week) . <br /> • Visitor hours per week per impact unit (visitors times number of hours per day <br /> times relevant days in week such as five for offices and seven for retail shopping) . <br /> • Functional population coefficients per employee developed by considering time <br /> spent by employees and visitors at each land use . <br /> Table 11 -9 shows the functional population coefficients for nonresidential uses/categories <br /> in IRC for the year 2004 based on a 24 hours per day, 7 days per week analysis . <br /> ' Arthur C . Nelson and James C . Nicholas, "Estimating Functional Population for Facility Planning, " <br /> Journal of Urban Planning and Development 118(2) : 45 -58 ( 1992) . <br /> Tindale -Oliver & Associates , Inc . Indian River County <br /> February 2005 II - 8 Impact Fee Study <br />