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Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy

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  • Qi Wang
  • John E Taylor

Abstract

Human mobility is influenced by environmental change and natural disasters. Researchers have used trip distance distribution, radius of gyration of movements, and individuals' visited locations to understand and capture human mobility patterns and trajectories. However, our knowledge of human movements during natural disasters is limited owing to both a lack of empirical data and the low precision of available data. Here, we studied human mobility using high-resolution movement data from individuals in New York City during and for several days after Hurricane Sandy in 2012. We found the human movements followed truncated power-law distributions during and after Hurricane Sandy, although the β value was noticeably larger during the first 24 hours after the storm struck. Also, we examined two parameters: the center of mass and the radius of gyration of each individual's movements. We found that their values during perturbation states and steady states are highly correlated, suggesting human mobility data obtained in steady states can possibly predict the perturbation state. Our results demonstrate that human movement trajectories experienced significant perturbations during hurricanes, but also exhibited high resilience. We expect the study will stimulate future research on the perturbation and inherent resilience of human mobility under the influence of hurricanes. For example, mobility patterns in coastal urban areas could be examined as hurricanes approach, gain or dissipate in strength, and as the path of the storm changes. Understanding nuances of human mobility under the influence of such disasters will enable more effective evacuation, emergency response planning and development of strategies and policies to reduce fatality, injury, and economic loss.

Suggested Citation

  • Qi Wang & John E Taylor, 2014. "Quantifying Human Mobility Perturbation and Resilience in Hurricane Sandy," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-5, November.
  • Handle: RePEc:plo:pone00:0112608
    DOI: 10.1371/journal.pone.0112608
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    Cited by:

    1. Clodomir Santana & Federico Botta & Hugo Barbosa & Filippo Privitera & Ronaldo Menezes & Riccardo Di Clemente, 2023. "COVID-19 is linked to changes in the time–space dimension of human mobility," Nature Human Behaviour, Nature, vol. 7(10), pages 1729-1739, October.
    2. Hugo Alatrista-Salas & Vincent Gauthier & Miguel Nunez-del-Prado & Monique Becker, 2021. "Impact of natural disasters on consumer behavior: Case of the 2017 El Niño phenomenon in Peru," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-23, January.
    3. Natalie Coleman & Chenyue Liu & Yiqing Zhao & Ali Mostafavi, 2023. "Lifestyle pattern analysis unveils recovery trajectories of communities impacted by disasters," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    4. Christoph Trattner & Alexander Oberegger & Leandro Marinho & Denis Parra, 2018. "Investigating the utility of the weather context for point of interest recommendations," Information Technology & Tourism, Springer, vol. 19(1), pages 117-150, June.
    5. Seungil Yum, 2021. "The effects of Hurricane Dorian on spatial reactions and mobility," 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. 105(3), pages 2481-2497, February.
    6. Ningchuan Xiao & Shanshan Cai & Mark Moritz & Rebecca Garabed & Laura W Pomeroy, 2015. "Spatial and Temporal Characteristics of Pastoral Mobility in the Far North Region, Cameroon: Data Analysis and Modeling," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-30, July.
    7. Masahiko Haraguchi & Akihiko Nishino & Akira Kodaka & Maura Allaire & Upmanu Lall & Liao Kuei-Hsien & Kaya Onda & Kota Tsubouchi & Naohiko Kohtake, 2022. "Human mobility data and analysis for urban resilience: A systematic review," Environment and Planning B, , vol. 49(5), pages 1507-1535, June.
    8. Yan Wang & John E. Taylor, 2018. "Coupling sentiment and human mobility in natural disasters: a Twitter-based study of the 2014 South Napa Earthquake," 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. 92(2), pages 907-925, June.

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