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