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Improving Public Safety Through Spatial Synthesis, Mapping, Modeling, and Performance Analysis of Emergency Evacuation Routes in California Localities

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  • Jaller, Miguel
  • Thorne, James H.
  • Rivera-Royero, Daniel
  • Whitney, Jason
  • Hu, Alexander Kenichi
  • Saha, Ayush

Abstract

This project examines multi-hazard risks and the performance of emergency evacuation routes in California using spatial synthesis, mapping, modeling, and performance analysis techniques. It enhances evacuation planning by analyzing road networks under natural hazard scenarios. Key tasks included: 1. Collecting and organizing evacuation route data for 190 cities, revealing that only 23 had comprehensive GIS maps, highlighting gaps in current planning. 2. Assessing road network performance under various hazards for 450 cities, identifying high-risk areas, and classifying cities based on risk levels and concentration. 3. Analyzing evacuation routes during the 2018 Camp and Thomas fires, using mathematical modeling and Omniscape to assess bottlenecks and evacuation efficiency. 4. Evaluating evacuation route performance for different population segments and proposing improvements, including using public transit for future wildfire evacuations. The findings provide actionable insights for improving emergency evacuation strategies in the state. View the NCST Project Webpage

Suggested Citation

  • Jaller, Miguel & Thorne, James H. & Rivera-Royero, Daniel & Whitney, Jason & Hu, Alexander Kenichi & Saha, Ayush, 2024. "Improving Public Safety Through Spatial Synthesis, Mapping, Modeling, and Performance Analysis of Emergency Evacuation Routes in California Localities," Institute of Transportation Studies, Working Paper Series qt72f801mf, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt72f801mf
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    References listed on IDEAS

    as
    1. Myungsik Do & Hoyong Jung, 2018. "Enhancing Road Network Resilience by Considering the Performance Loss and Asset Value," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
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