Non-linear built environment effects on travel behavior resilience under extreme weather events

IF 7.3 1区工程技术 Q1 ENVIRONMENTAL STUDIES

Transportation Research Part D-transport and Environment Pub Date : 2025-04-16 DOI:10.1016/j.trd.2025.104753

Jixiang Liu , Jianqiang Cui , Longzhu Xiao , Dong Lin , Linchuan Yang

{"title":"Non-linear built environment effects on travel behavior resilience under extreme weather events","authors":"Jixiang Liu , Jianqiang Cui , Longzhu Xiao , Dong Lin , Linchuan Yang","doi":"10.1016/j.trd.2025.104753","DOIUrl":null,"url":null,"abstract":"<div><div>Resilience has been a widely used approach to assessing the response and recovery of transportation systems to various disruptions and stresses, such as extreme weather events. However, limited studies have investigated travel behavior resilience from the demand perspective, and even fewer have delved into its relationships with the built environment. Therefore, using a taxi trip dataset in Xiamen, China, and employing an advanced machine learning method (LightGBM), this study examines the non-linear effects of the built environment on travel behavior resilience during a rainstorm. The findings are as follows: (1) Location and development intensity are the most important variables for travel behavior resilience; (2) Salient non-linear relationships exist between built-environment variables and travel behavior resilience; and (3) Apparent interaction effects exist among some variables, especially between location and others. This study provides valuable insights for policymakers, offering guidance for targeted interventions to facilitate climate adaptation and enhancing resilience.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104753"},"PeriodicalIF":7.3000,"publicationDate":"2025-04-16","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/S1361920925001634","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

Resilience has been a widely used approach to assessing the response and recovery of transportation systems to various disruptions and stresses, such as extreme weather events. However, limited studies have investigated travel behavior resilience from the demand perspective, and even fewer have delved into its relationships with the built environment. Therefore, using a taxi trip dataset in Xiamen, China, and employing an advanced machine learning method (LightGBM), this study examines the non-linear effects of the built environment on travel behavior resilience during a rainstorm. The findings are as follows: (1) Location and development intensity are the most important variables for travel behavior resilience; (2) Salient non-linear relationships exist between built-environment variables and travel behavior resilience; and (3) Apparent interaction effects exist among some variables, especially between location and others. This study provides valuable insights for policymakers, offering guidance for targeted interventions to facilitate climate adaptation and enhancing resilience.

查看原文本刊更多论文

极端天气条件下非线性建筑环境对出行行为弹性的影响

弹性是一种广泛使用的方法，用于评估运输系统对各种中断和压力（如极端天气事件）的响应和恢复。然而，从需求角度调查旅行行为弹性的研究有限，深入研究其与建筑环境关系的研究就更少了。因此，本研究使用中国厦门的出租车出行数据集，并采用先进的机器学习方法（LightGBM），研究了暴雨期间建筑环境对出行行为弹性的非线性影响。研究发现：(1)区位和开发强度是影响旅游行为弹性的最重要变量；(2)建筑环境变量与出行行为弹性之间存在显著的非线性关系；(3)某些变量之间存在明显的交互作用，尤其是区位与其他变量之间。这项研究为政策制定者提供了有价值的见解，为有针对性的干预措施提供了指导，以促进气候适应和增强抵御能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Transportation Research Part D-transport and Environment 工程技术-运输科技

CiteScore

14.40

自引率

9.20%

发文量

314

审稿时长

39 days

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.