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COMMUNITY OUTREACH <br /> low-income households to resources through improved transportation. In addition, the analysis <br /> showed the percentage of: <br /> • Residents who lack access to a private vehicle: 55% <br /> • Residents who own smartphones, enabling mobile-focused engagement strategies: <br /> 94%. <br /> • Blue collar workers in the area: 31%. <br /> • Service workers, often traveling outside traditional commuting hours, highlighting the <br /> need for flexible mobility options: 25%. <br /> • Homes that lack internet access: 15%. <br /> Equitable Engagement <br /> The team developed a technical memorandum evaluating the equity framework (framework) <br /> related to existing conditions and connectivity to needs within the community, which can be <br /> found in APPENDIX E: Equity Framework Technical Memorandum. The framework <br /> incorporated multiple indicators that threatened residents' health, safety, and quality of life. The <br /> team leveraged community analytics and extensive experience in equity-based geographic <br /> analysis, utilizing tools such as CalEnviroScreen, the California Department of Education, the <br /> California Healthy Places Index, and CDC PLACES data, to illustrate risks and needs across <br /> census tracts. <br /> The preliminary equity analysis revealed that all census tracts within the study area were <br /> categorized as SB535 Disadvantaged Communities. East of Interstate 5, the community <br /> analytics showed other equity concerns, including low healthcare access and high exposure to <br /> diesel particulate matter due to its location between two freeways. <br /> The assessment became comprehensive by integrating multiple data sources, community <br /> feedback, and on-street observations. Field investigations documented informal economic <br /> activities, such as street vendors, and identified opportunities for bus stop amenities, and <br /> designed alternatives to support micro-community spaces. Crash data compiled in geographic <br /> information systems (GIS) overlaid on land-use maps to examine correlations among crash <br /> density, income levels, and proximity to transit or community services. Further analysis explored <br /> disparities in race, ethnicity, and income to inform transportation access, engagement <br /> strategies, and safety measures. <br /> The memorandum provided a detailed snapshot of socioeconomic and demographic <br /> characteristics, environmental conditions, and health outcomes along the corridor. This baseline <br /> informed stakeholder engagement and guided the development of multimodal concept <br /> alternatives to improve equitable health outcomes, while addressing risks. It included maps of <br /> disadvantaged census tracts using common metrics such as income and environmental <br /> hazards, as well as nuanced measures, including housing security, health factors, and food <br /> access. Examples of these maps are shown in Figure 5 and Figure 6. <br /> First Street Multimodal Boulevard Study— 10 <br />