Jian Chen , Keliang Liu , Rui Li , Wu Li , Qi Chen
{"title":"Optimising built environment to reduce car use: Spatial and attribute heterogeneity perspectives","authors":"Jian Chen , Keliang Liu , Rui Li , Wu Li , Qi Chen","doi":"10.1016/j.trd.2025.104767","DOIUrl":null,"url":null,"abstract":"<div><div>To facilitate the development of a green travel environment within the community, researchers have analyzed the relationship between built environment and vehicle kilometers traveled (VKT) from different perspectives. However, these studies often overlook the fact that there are both spatial and attribute differences in the effects of different built environments on VKT, and that the extent of such differences varies across variables. This oversight may lead to ineffective built environment optimization measures. To address this problem, based on data from a survey of car use behavior in Baoding, China, this study utilized a multi-scale geographically weighted regression model (MGWR) that considered the spatial scale heterogeneity of variables. Additionally, a multi-scale attribute weighted regression model (MAWR) was developed based on the MGWR model, emphasizing group heterogeneity. The findings of the study emphasize the importance of considering spatial location and attribute characteristics when formulating policies related to the built environment.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"143 ","pages":"Article 104767"},"PeriodicalIF":7.3000,"publicationDate":"2025-04-22","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/S1361920925001774","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
To facilitate the development of a green travel environment within the community, researchers have analyzed the relationship between built environment and vehicle kilometers traveled (VKT) from different perspectives. However, these studies often overlook the fact that there are both spatial and attribute differences in the effects of different built environments on VKT, and that the extent of such differences varies across variables. This oversight may lead to ineffective built environment optimization measures. To address this problem, based on data from a survey of car use behavior in Baoding, China, this study utilized a multi-scale geographically weighted regression model (MGWR) that considered the spatial scale heterogeneity of variables. Additionally, a multi-scale attribute weighted regression model (MAWR) was developed based on the MGWR model, emphasizing group heterogeneity. The findings of the study emphasize the importance of considering spatial location and attribute characteristics when formulating policies related to the built environment.
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.