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Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data

Author

Listed:
  • Songhua Hu

    (Jack)

  • Kailai Wang

    (Jack)

  • Lingyao Li

    (Jack)

  • Yingrui Zhao

    (Jack)

  • Zhenbing He

    (Jack)

  • Yunpeng

    (Jack)

  • Zhang

Abstract

Climate changes lead to more frequent and intense weather events, posing escalating risks to road traffic. Crowdsourced data offer new opportunities to monitor and investigate changes in road traffic flow during extreme weather. This study utilizes diverse crowdsourced data from mobile devices and the community-driven navigation app, Waze, to examine the impact of three weather events (i.e., floods, winter storms, and fog) on road traffic. Three metrics, speed change, event duration, and area under the curve (AUC), are employed to assess link-level traffic change and recovery. In addition, a user's perceived severity is computed to evaluate link-level weather impact based on crowdsourced reports. This study evaluates a range of new data sources, and provides insights into the resilience of road traffic to extreme weather, which are crucial for disaster preparedness, response, and recovery in road transportation systems.

Suggested Citation

  • Songhua Hu & Kailai Wang & Lingyao Li & Yingrui Zhao & Zhenbing He & Yunpeng & Zhang, 2023. "Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data," Papers 2310.14380, arXiv.org.
    • Handle: RePEc:arx:papers:2310.14380
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    References listed on IDEAS

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    2. Simon N. Wood, 2003. "Thin plate regression splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(1), pages 95-114, February.
    3. Datla, Sandeep & Sharma, Satish, 2008. "Impact of cold and snow on temporal and spatial variations of highway traffic volumes," Journal of Transport Geography, Elsevier, vol. 16(5), pages 358-372.
    4. Boyeong Hong & Bartosz J. Bonczak & Arpit Gupta & Constantine E. Kontokosta, 2021. "Measuring inequality in community resilience to natural disasters using large-scale mobility data," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    5. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
    6. Shraddha Praharaj & T. Donna Chen & Faria T. Zahura & Madhur Behl & Jonathan L. Goodall, 2021. "Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study," 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. 107(3), pages 2363-2387, July.
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