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Item 18 Agreement with HDR Engineering, Inc. to Conduct the First Street Multimodal Boulevard Study
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Item 18 Agreement with HDR Engineering, Inc. to Conduct the First Street Multimodal Boulevard Study
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Public Works
Item #
18
Date
5/20/2025
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City of Santa Ana | First Street Multimodal Boulevard Study <br />RFP NO. 25-029 | B. Services Provided <br />03 <br />HDR’s Community Analytics tool harnesses multiple data sources to deliver <br />insights into community characteristics. Our team analyzed the study <br />area to understand how community analytics could identify key issues <br />and opportunities, which can then be verified by information gained from <br />community engagement and feedback. Our full study area profile can be <br />accessed here. <br /> •Equity and Engagement. The one-mile radius around the project <br />corridor includes significant populations that speak Spanish at home and <br />use Spanish-language digital platforms. While 15% of homes within the <br />radius lack internet access, 94% of residents own a smartphone. Our <br />community analytics allows our team to better customize engagement <br />strategies and materials. <br /> •Targeted Mobility Options. A majority of workers within one-mile <br />of the project corridor are blue collar (31%) and service workers (26%) <br />who often travel to and from work outside of traditional commute <br />times, suggesting opportunities to enhance mobility options throughout <br />the day. <br /> •Transportation + Housing Nexus. Commuters around the project <br />corridor have relatively higher rates of taking public transit and <br />carpooling to work and much lower rates of home ownership, compared <br />to Orange County as a whole. These analytics position our team to ask <br />questions about household costs and housing security, strengthening <br />project goals to connect low-income housing residents to resources <br />through enhanced mobility options. <br />First Street Study Area (1-Mile Radius) <br />9% national average <br />Percent of Households <br />with No Internet Access <br />< 18% <br />< 1% <br />INTERNET ACCESS <br />The Community <br />Analytics Advantage <br />71%Own <br />29%Rent <br />2. Validate the Model <br />To validate the model, HDR will conduct travel time surveys and <br />observations of queue and delay. We will conduct floating car surveys <br />during the data collection period, so that counts and travel time are <br />collected within the same time period. The model will be refined and <br />validated to reflect the existing conditions based on field observations and <br />travel time. <br />3. Report Key Metrics <br />VISSIM is a powerful tool that can provide metrics on general traffic flow <br />travel time, transit vehicle travel time, delay at intersections, queues, <br />and other information. HDR will work with the City to determine what <br />information is most critical to the decision making process. <br />4. Develop Visual Simulations <br />Once the model is refined and reporting the necessary travel data, visual <br />simulations will be developed and recorded. Fly through videos, still video, <br />or a combination of both can be recorded for use in public meetings or <br />stakeholder events. <br />After the existing conditions model is developed, geometrics and signal <br />timing can be developed in Synchro and then integrated into a refined <br />VISSIM model. Because of the complexity of the model, these modifications <br />take several weeks to complete. We will begin building the model as soon <br />as the Synchro network from the City is available to the team. <br />HDR intends to focus on weekday AM and PM peak periods for this model. <br />There are several key traffic generators along the corridor, such as Santa <br />Ana High School and the Santa Ana Zoo, that may have different peak <br />periods. Before collecting data and building the model, we will work <br />with the City to confirm the peak period to be analyzed and any special <br />considerations that should be made for these off-peak generators. <br />2.4 Equity <br />HDR will develop an existing conditions equity analysis technical <br />memorandum with a composite framework for identifying project <br />disadvantaged communities that incorporates multiple indicators known <br />to threaten health, safety, and quality of life of residents. Our team will <br />leverage our Community Analytics analysis and deep experience conducting <br />equity-based geographic analysis using tools such as CalEnviroScreen, <br />California Department of Education, California Healthy Places Index, and <br />Center for Disease Control (CDC) PLACES local data to illustrate specific <br />risks and needs within census tracts throughout the project area. From <br />our preliminary equity analysis of the corridor study area, we found that <br />100% of census tracts along First Street between Bristol Street and the I-5 <br />freeway are categorized as SB535 Disadvantaged Communities. However, <br />according to California Healthy Places Index, the corridor census tract <br />east of the I-5 also features other equity concerns such as relatively low <br />healthcare access and relatively high exposure to diesel particulate matter <br />due to its position in between two freeways. <br />An equity assessment is only made comprehensive by utilizing data <br />from multiple sources, including community feedback and on-street <br />observational notes. These methods will be critical to verify online data and <br />augment this information with real-life public right-of-way uses, such as <br />street vendors and other informal economic drivers. These activities may <br />be observed to generate trips along and to the corridor, as well as provide <br />opportunities to identify bus stop amenities and design alternatives to <br />accommodate street vendors and micro-community gathering spaces. <br />Field investigations conducted as part of Task 2.1.4 will note these types <br />of activities along the corridor, as well as more traditionally collected <br />transportation behaviors. <br />Once crash data from Task 2.1.3 is compiled in GIS, we will overlay the <br />crash information on a land use map to understand if there is a higher <br />density of crashes by mode near lower income housing sites, and if there <br />is a correlation between access to those properties and nearby transit or <br />other community services. Crash data can be further analyzed to identify <br />community disparities in race, ethnicity, and income that may provide <br />further insights to inform transportation access, barriers, engagement <br />strategy, and safety measures. <br />The memorandum will compile a comprehensive snapshot of the <br />socioeconomic and demographic characteristics, environmental conditions, <br />and health outcomes along the corridor. This snapshot will serve as a key <br />data point to inform stakeholder and community engagement, as well as a <br />context-sensitive baseline for developing multimodal concept alternatives <br />that strive to improve equitable health outcomes while identifying potential <br />threats and risks for mitigation and/or consideration. The memorandum will <br />include new maps of project disadvantaged census tracts with commonly <br />used metrics such as income/poverty and environmental hazards, as well as <br />nuanced measures such as housing security, health factors, and food access. <br />26% <br />Service <br />workers <br />14% <br />Carpooled <br />to work <br />4% <br />Took public <br />transit to work <br />31% <br />Blue collar <br />workers <br />94% <br />Own a <br />smartphone
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