{"title":"Hurricane evacuation analysis with large-scale mobile device location data during hurricane Ian","authors":"Luyu Liu , Xiaojian Zhang , Shangkun Jiang , Xilei Zhao","doi":"10.1016/j.trd.2024.104559","DOIUrl":null,"url":null,"abstract":"<div><div>Hurricane Ian is one of the deadliest and costliest Atlantic hurricanes with 2.5 million people ordered to evacuate. As hurricanes are becoming increasingly severe in the context of climate change, mobile device location data offer an unprecedented opportunity to study evacuation behaviors. With a terabyte-level dataset, we introduce a holistic hurricane evacuation behavior algorithm: we infer evacuees’ departure time and categorize them into different behavioral groups, including self-, shadow, compliant (voluntary and mandatory), and partially-compliant evacuees. The landfall region (Fort Myers, Lee County) had less evacuees, who left the evacuation zone, but more partially-compliant evacuees, who left home but not the zone. Meanwhile, the predicted landfall region (Tampa, Hillsborough County) had the opposite, suggesting the effects of delayed orders. Evacuation rates increase from shore to inland. Spatiotemporal analysis identified three evacuation waves: during formation, before landfall, and after landfall. These insights are valuable for enhancing future disaster planning and management.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"139 ","pages":"Article 104559"},"PeriodicalIF":7.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920924005169","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Hurricane Ian is one of the deadliest and costliest Atlantic hurricanes with 2.5 million people ordered to evacuate. As hurricanes are becoming increasingly severe in the context of climate change, mobile device location data offer an unprecedented opportunity to study evacuation behaviors. With a terabyte-level dataset, we introduce a holistic hurricane evacuation behavior algorithm: we infer evacuees’ departure time and categorize them into different behavioral groups, including self-, shadow, compliant (voluntary and mandatory), and partially-compliant evacuees. The landfall region (Fort Myers, Lee County) had less evacuees, who left the evacuation zone, but more partially-compliant evacuees, who left home but not the zone. Meanwhile, the predicted landfall region (Tampa, Hillsborough County) had the opposite, suggesting the effects of delayed orders. Evacuation rates increase from shore to inland. Spatiotemporal analysis identified three evacuation waves: during formation, before landfall, and after landfall. These insights are valuable for enhancing future disaster planning and management.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.