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Indian River County Impact Fee Study Final Report - irccdd.com

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activities For other facilities such as emergency medical and rescue, it is difficult to<br />

allocate demand to land uses when many of the calls are related to crashes.<br />

The traditional method for estimating the current and future demand for certain facilities<br />

is to use the population as the basis. For example, some states have established a<br />

statewide minimum standard of 0.3 square feet of library space per capita based on the<br />

population of <strong>com</strong>munities meeting minimum thresholds. Yet, <strong>com</strong>munities with high<br />

volumes of nonresidents who use library services may need more than 0.3 square feet per<br />

resident to effectively meet this standard. In the case of police, fire, and emergency<br />

medical facilities, the higher the nonresident daytime population, the greater the need is<br />

for service relative to the resident population. Moreover, it is not enough to simply add<br />

resident population to the number of employees, since the service-demand characteristics<br />

of employees can vary considerably by type of industry. Using unweighted population<br />

and employment data to estimate facility needs may result in substantial error.<br />

For many facilities, there is a convenient way to rationally attribute demand by land use<br />

and to estimate aggregate demand for a <strong>com</strong>munity. This method is called "functional<br />

population." Functional population is the equivalent number of people occupying space<br />

within a <strong>com</strong>munity on a 24-hours-per-day, 7-days-per-week basis for public facilities<br />

providing around-the-clock services, such as police and fire/EMS services (or alternative<br />

time period such as an 11-hours-per-day, 5-days-per-week basis for public buildings,<br />

which are open on the average only a total of 55 hours per week).<br />

A person living and working in the <strong>com</strong>munity will have a functional population<br />

coefficient of 1.0. A person living in the <strong>com</strong>munity but working elsewhere may spend<br />

only 16 hours per day in the <strong>com</strong>munity on weekdays and 24 hours per day on weekends<br />

for a functional population coefficient of 0.76 (128-hour presence divided by 168 hours<br />

in one week). A person <strong>com</strong>muting into the <strong>com</strong>munity to work five days per week<br />

would have a functional population coefficient of 0.24 (40-hour presence divided by 168<br />

hours in one week). Similarly, a person traveling into the <strong>com</strong>munity to shop at stores,<br />

perhaps averaging 8 hours per week, would have a functional population coefficient of<br />

0.05.<br />

Functional population thus, is designed to capture the presence of all people within the<br />

<strong>com</strong>munity, whether residents, workers, or visitors, to arrive at a total estimate of<br />

effective population needing to be served. Functional population measures are important<br />

to gauge the demand for facilities serving the <strong>com</strong>munity 24 hours per day, 7 days per<br />

week for services such as police, fire, and emergency medical services, or 11 hours per<br />

day, 5 days per week for services such as public building services.<br />

This form of adjusting population to help measure real facility needs replaces the popular<br />

approach of merely weighting residents two-thirds and workers one-third (Nelson and<br />

Nicholas 1992). By estimating the functional population per unit of land use across all<br />

major land uses in a <strong>com</strong>munity, an estimate of the demand for certain facilities and<br />

services in the present and in a future year can be calculated. The following paragraphs<br />

explain how functional population is calculated.<br />

Tindale-Oliver & Associates, Inc.<br />

<strong>Indian</strong> <strong>River</strong> <strong>County</strong><br />

May 2005 II-7 <strong>Impact</strong> <strong>Fee</strong> <strong>Study</strong>

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