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Executive Summary Purpose & Goals The purpose of the San Diego Affordable Housing Parking Study was to determine the links between affordable housing variables (income levels, household age, transit accessibility, land use context, and housing type) for use in developing a corresponding regulatory framework for parking requirements. Organization & Process The study was broken down into the following discrete related tasks addressed by a collaborative team process. • Stakeholder and Public Outreach • Best Practices and Case Studies • Review of City Policies and Current Research • Applied Parking Model • Data Collection Methodology & GIS Database a Policy Recommendations • Statistical Analysis & Parking Demand Tool Stakeholder & Public Outreach A detailed public outreach strategy was developed including the use Project Working Group (PWG) that was used to solicit advice and feedback on policy issues. Other key elements of the outreach included project fact sheets, a public workshop and stakeholder focus groups. Review of City Policies, Current Research & Best Practices The city's parking code and policies, recent industry research pertaining to affordable housing and parking requirement adjustments, and best practices from similar communities were reviewed, revealing the following: 1) There is a substantial gap between demand for affordable housing and the number of units that can realistically be built in San Diego. 2) Affordable housing developments in San Diego are subject to a complex set of parking requirements and potential modifications. But, it is not clear the current code provides modifications in a manner consistent with a project's likely parking demand. 3) in addition to increasing the price of housing by driving up construction costs, parking requirements also impact site design; reducing the land available for residences. 4) While the costs created by excessive parking requirements affect all types of homeowners and renters, their impact on lower income households is particularly disproportionate because low income households consistently own fewer vehicles than their higher income counterparts. Data Collection Methodology & CFS Database GlS Database of Affordable Housing Sites: The consultant team developed a master list of affordable housing project sites based on city records.' The database contained 265 unique developments that were coded with a series of "project" and "neighborhood" variables that captured key characteristics about each development's qualities and surroundings. The sites were further reduced to eliminate all sites with less than 80% restricted units leaving 138 affordable sites available for data collection. Site Selection Methodology: The 1.38 sites established a variable profile target for a future a data collection sample. The goal for data collection was to select a minimum of 30 sites to survey that met the existing I . The list maintained by SDHC, RDA, CCDC and SEDC included both rental and ownership developments and contains project types ranging from senior housing, to transitional homes, to inclusionary units within larger market rate developments, ES -1 i 31 D -37