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Effects of Hurricanes Irene and Sandy in New Jersey: traffic patterns and highway disruptions during evacuations

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  • Jian Li
  • Kaan Ozbay
  • Bekir Bartin

Abstract

This paper describes a quantitative analysis of traffic patterns and highway disruptions during Hurricane Irene and Sandy evacuations in New Jersey (NJ). This empirical study is based on multiple traffic and event data collected by various transportation agencies in NJ. In the first part of the paper, the temporal and spatial traffic patterns in NJ during Irene and Sandy evacuations were explored, and a comparative assessment of evacuation departure models was conducted based on the empirical traffic data. In the second part, we explored the frequency and geographic distribution of highway disruptions (vehicle accidents/incidents, incidents such as downed trees or road flooding caused by extreme winds and heavy rains, and highway bottlenecks) during Irene and Sandy evacuations and pre-landfall periods. The empirical patterns observed in this study can be used to improve real-world emergency response operations and evacuation models. The empirical findings may also benefit hurricane evacuation planning in areas with similar circumstances as NJ. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Jian Li & Kaan Ozbay & Bekir Bartin, 2015. "Effects of Hurricanes Irene and Sandy in New Jersey: traffic patterns and highway disruptions during evacuations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 2081-2107, September.
  • Handle: RePEc:spr:nathaz:v:78:y:2015:i:3:p:2081-2107
    DOI: 10.1007/s11069-015-1820-9
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    Cited by:

    1. MD Jahedul Alam & Muhammad Ahsanul Habib, 2021. "Mass evacuation microsimulation modeling considering traffic disruptions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 323-346, August.
    2. Yuepeng Cui & Hao Xu & Kuangmin Gong, 2023. "A diversion routing optimization model for urban evacuation planning," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2399-2416, March.
    3. Guan, Xiangyang & Chen, Cynthia, 2021. "A behaviorally-integrated individual-level state-transition model that can predict rapid changes in evacuation demand days earlier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

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