Kaihan Zhang , Qiwei Song , Haoran Ma , Waishan Qiu , Meikang Li , Inhi Kim
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引用次数: 0
Abstract
This study examines factors beyond macroscale built environments (BE) influencing cycling behavior, integrating both microscale visual and auditory perceptions, especially soundscapes, while their impacts on cycling have not been explicitly investigated. Leveraging massive bikeshare trip data in Shenzhen, China, this study employs spatial explainable machine learning to uncover the associations among these three dimensions and cycling behavior using a multi-scale analytical framework. The results show that: (1) Macroscale BE remains dominant, while micro-scale soundscapes outweigh visual perceptions in explaining cycling usage. (2) Both perceived streetscape and soundscape indicators exhibit significant nonlinear effects on cycling behavior. (3) Synergistic interactions between visual streetscape and soundscape are observed, where maintaining audio-visual consistency (e.g., high perceived safety with high natural sounds perception) can positively affect cycling more substantially. Our findings encourage planners to prioritize strategic micro-level modifications targeting perceived street visual and auditory aspects over conventional macroscale BE interventions as cost-effective alternatives.
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.