Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

IF 1.3 4区工程技术 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY

Transportation Planning and Technology Pub Date : 2023-07-24 DOI:10.1080/03081060.2023.2239236

Xiaoquan Wang, Chaoying Yin, Changjiang Zheng, Yang Shen, C. Shao

{"title":"Integrating built environment and parking policy for car commuting reduction: evidence from Beijing","authors":"Xiaoquan Wang, Chaoying Yin, Changjiang Zheng, Yang Shen, C. Shao","doi":"10.1080/03081060.2023.2239236","DOIUrl":null,"url":null,"abstract":"ABSTRACT Built environment (BE) planning and parking policy are two major strategies for restricting car use. However, researchers usually explore the independent associations of BE and parking policy with the use of the car in commuting, and most earlier studies are limited to investigating the benefits of integrating them. This study adopts a machine learning approach to explore the associations of home and workplace BE features and parking policy with the use of the car in commuting and whether the associations of BE features are moderated by parking policy. Results suggest that workplace BE features have larger collective contributions to the use of the car in commuting than home BE features. All BE features have nonlinear associations with the use of the car in commuting, and the nonlinear patterns differ across home and workplace neighborhoods. Moreover, free parking and parking convenience have significant moderating effects on the connection between BE and the use of the car in commuting. Thus, planning practitioners and policy makers should highlight the importance of coordinating BE planning and policy making to restrict the use of the car in commuting.","PeriodicalId":23345,"journal":{"name":"Transportation Planning and Technology","volume":"78 1","pages":"888 - 911"},"PeriodicalIF":1.3000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Planning and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/03081060.2023.2239236","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

ABSTRACT Built environment (BE) planning and parking policy are two major strategies for restricting car use. However, researchers usually explore the independent associations of BE and parking policy with the use of the car in commuting, and most earlier studies are limited to investigating the benefits of integrating them. This study adopts a machine learning approach to explore the associations of home and workplace BE features and parking policy with the use of the car in commuting and whether the associations of BE features are moderated by parking policy. Results suggest that workplace BE features have larger collective contributions to the use of the car in commuting than home BE features. All BE features have nonlinear associations with the use of the car in commuting, and the nonlinear patterns differ across home and workplace neighborhoods. Moreover, free parking and parking convenience have significant moderating effects on the connection between BE and the use of the car in commuting. Thus, planning practitioners and policy makers should highlight the importance of coordinating BE planning and policy making to restrict the use of the car in commuting.

查看原文本刊更多论文

整合建筑环境和停车政策以减少汽车通勤:来自北京的证据

建筑环境规划和停车政策是限制汽车使用的两大策略。然而，研究人员通常会探索BE和停车政策与通勤中汽车使用的独立联系，而大多数早期研究仅限于调查将它们结合起来的好处。本研究采用机器学习方法探讨家庭和工作场所BE特征和停车政策与通勤汽车使用的关联，以及停车政策是否调节BE特征的关联。结果表明，工作场所BE特征比家庭BE特征对通勤中汽车的使用有更大的集体贡献。所有BE特征都与通勤中汽车的使用存在非线性关联，并且这种非线性模式在家庭和工作场所社区之间有所不同。此外，免费停车和停车便利对BE与通勤汽车使用的联系有显著的调节作用。因此，规划从业者和政策制定者应该强调协调BE规划和政策制定的重要性，以限制汽车在通勤中的使用。

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 Planning and Technology 工程技术-运输科技

CiteScore

3.40

自引率

6.20%

发文量

审稿时长

12 months

期刊介绍： Transportation Planning and Technology places considerable emphasis on the interface between transportation planning and technology, economics, land use planning and policy. The Editor welcomes submissions covering, but not limited to, topics such as: • transport demand • land use forecasting • economic evaluation and its relationship to policy in both developed and developing countries • conventional and possibly unconventional future systems technology • urban and interurban transport terminals and interchanges • environmental aspects associated with transport (particularly those relating to climate change resilience and adaptation). The journal also welcomes technical papers of a more narrow focus as well as in-depth state-of-the-art papers. State-of-the-art papers should address transport topics that have a strong empirical base and contain explanatory research results that fit well with the core aims and scope of the journal.