RES 2024077 - Laserfiche WebLink

Pleasanton Comprehensive Fee Update and Nexus Study November 2024 to derive a fee per unit, or by the average square feet per employee to estimate a fee per square foot for each commercial land use. 7. As a final step, EPS converted the residential fee per unit to a fee per square foot, as required by AB 602, based on data on typical housing unit sizes. Demographic and Land Use Assumptions This section describes the demographic and land use assumptions utilized in this study for both existing and future General Plan buildout conditions. The estimates are used for the following primary purposes in the fee calculation: • Existing population and employment levels are used to estimate service levels for specific capital improvement categories as well as to ascertain existing needs relative to existing standards. • Future population and employment growth in the city are the basis for determining future capital facility needs and apportioning these costs between existing and new development. • Estimates related to population and employment density (e.g., persons per household or employees per square foot) are used to allocate costs between land use categories. Service Population Calculations The DIF is largely predicated on calculations that translate the population and employment projections provided above into estimates of existing and future "service populations."The "service population," in turn, is derived from assumptions that compare residents and employees based on the relative service demands or typical service profiles of each (e.g., amount of time spent in the city, likely utilization of specific infrastructure). While the service population characterization can differ by infrastructure category, in cases where detailed estimates are not available, EPS has relied upon a default service population calculation. This calculation is based on the City's existing "daytime population" as derived using the City's existing residents, employees, and commute patterns for each to estimate the relative time spent within the City. This approach is used to derive an employee to resident equivalency factor to allocate costs between existing and new growth and between residential and commercial development. As illustrated in Table 2, the City's existing population, employment, and commute patterns (derived from US Census data) suggest a total estimated service population of 99,343. The service population is composed of 76,459 residents and 55,650 employees, with each employee equivalent to .411 residents (e.g., the typical service demand of an employee is about 41 percent of a resident). i0