Assessing changes in job accessibility and commuting time under bike-sharing scenarios

IF 3.6 2区 工程技术 Q2 TRANSPORTATION Transportmetrica A-Transport Science Pub Date : 2024-01-02 DOI:10.1080/23249935.2022.2043950
Jianying Wang , Mei-Po Kwan , Wenpu Cao , Yongxi Gong , Liang Guo , Yu Liu
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Abstract

Bike-sharing improves individual mobility, considerably reshaping the landscape of job accessibility and commuting time. Existing empirical studies in urban transportation involving commuting usually collect survey data at the aggregate level. A comprehensive understanding of the influence of bike-sharing on commuting and job accessibility at the city level is still missing in developing countries. Using mobile phone data in Beijing, this study addresses these questions with a commuting mode model and cumulative accessibility model. The results indicate that bike-sharing could lead to a decrease in commuting time and an increase in job accessibility. The availability of bike-sharing services has a positive relationship with its effectiveness. Meanwhile, bike-sharing significantly reduces the horizontal and vertical inequality in commuting time and job accessibility at both the individual and spatial levels. These findings provide insights into the popularity of bike-sharing in China, shed light on the equity influence of bike-sharing, and provide a quantitative measurement of the benefit of bike-sharing.

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评估共享单车情景下工作可达性和通勤时间的变化
共享单车提高了个人的流动性,极大地重塑了工作可达性和通勤时间的格局。涉及通勤的现有城市交通实证研究通常收集总体层面的调查数据。在发展中国家,对共享单车在城市层面对通勤和就业可达性的影响的全面了解仍然缺失。本研究利用北京的手机数据,通过通勤模式模型和累积可达性模型来解决这些问题。研究结果表明,共享单车可以缩短通勤时间,提高就业便利性。共享单车服务的可用性与其有效性呈正相关。同时,共享单车在个人和空间两个层面上大大减少了通勤时间和工作可达性方面的横向和纵向不平等。这些研究结果为共享单车在中国的普及提供了启示,阐明了共享单车对公平的影响,并对共享单车的效益进行了量化衡量。
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来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍: Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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