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Residential Functional Population It is generally assumed that people spend one -half to two -thirds of their time at home and the rest of each 24 -hour day away from their place of residence . In developing the residential component of IRC functional population for fees using a 24-hour versus 1I - hour approach , an analysis of IRC population and employment characteristics was conducted . Based on this analysis , it was estimated that, in the case of 24 -hour days , people , on average , spend 15 . 6 hours, or 65 percent, of each 24 -hour day at their place of residence and the other 35 percent away from home . In the case of 11 -hour days , people spend 3 . 8 hours , or 35 percent of their time , at their place of residence and the remaining 65 percent away from home . This analysis is presented in Appendix A, Tables A -9 through A - 11 , and resulting percentages are displayed in Tables Il -9 and II - 10 . Nonresidential Functional Population Developing estimates of functional residents for nonresidential land uses is more complicated than developing estimates of functional residents for residential land uses , given the varying characteristics of non-residential land uses . Nelson and Nicholas originally introduced a method for estimating functional resident population, now used internationally . This method uses trip generation data from the Institute of Transportation Engineers' (ITE) Trip Generation Manual , information on passengers per vehicle , workers per vehicle , length of time spent at the land use , and other variables . Specific calculations include : • Total one -way trips per employee (ITE trips times 50 percent to avoid double counting entering and exiting trips as two trips) . Visitors per impact unit based on occupants per vehicle (trips times occupants per vehicle minus employees) . • Worker hours per week per impact unit ( such as nine worker hours per day times five days in a work week) . • Visitor hours per week per impact unit (visitors times number of hours per day times relevant days in week such as five for offices and seven for retail shopping) . • Functional population coefficients per employee developed by considering time spent by employees and visitors at each land use . Table Il -9 shows the functional population coefficients for nonresidential uses/categories in IRC for the year 2004 based on a 24 hours per day , 7 days per week analysis . 1 Arthur C . Nelson and James C . Nicholas, " Estimating Functional Population for Facility Planning , " Journal of Urban Planning and Development 118 (2 ) : 45 -58 ( 1992) . Tindale -Oliver & Associates , Inc . Indian River County May 2005 II - 8 Impact Fee Study