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

被引:22
|
作者
Wang, Jianying [1 ]
Kwan, Mei-Po [2 ,3 ]
Cao, Wenpu [1 ]
Gong, Yongxi [4 ]
Guo, Liang [5 ]
Liu, Yu [1 ,6 ]
机构
[1] Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing, Peoples R China
[2] Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Peoples R China
[4] Harbin Inst Technol, Shenzhen Key Lab Urban Planning & Decis Making, Shenzhen Grad Sch, Shenzhen, Peoples R China
[5] Guangzhou Urban Planning & Design Survey Res Inst, Guangzhou, Peoples R China
[6] State Key Lab Media Convergence Prod Technol & Sy, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Job accessibility; commuting time; equity; bike-sharing; EQUITY; LOCATION; IMPACTS; CHOICE; BENEFITS;
D O I
10.1080/23249935.2022.2043950
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
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.
引用
收藏
页码:36 / 36
页数:1
相关论文
共 50 条
  • [31] A heuristic approach for bike-sharing system rebalancing problem with multiple time windows
    Lu E.H.-C.
    Chunag Y.-J.
    Soft Computing, 2024, 28 (13-14) : 8337 - 8359
  • [32] The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting
    Guo, Yuanyuan
    He, Sylvia Y.
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2021, 149 : 377 - 396
  • [33] Probabilistic Petri Nets Model for Assessing Temporal Variations of the Number of Bikes in Bike-Sharing Stations
    Florian, Horatiu
    Avram, Camelia
    Pop, Mihai
    Mocanu, Adrian
    Radu, Dan
    Astilean, Adina
    PROCEEDINGS OF 2022 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2022), 2022, : 311 - 315
  • [34] Assessing urban residents' exposure to greenspace in daily travel from a dockless bike-sharing lens
    Xu, Xijie
    Wang, Jie
    Poslad, Stefan
    Rui, Xiaoping
    Zhang, Guangyuan
    Fan, Yonglei
    Yu, Guangxia
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 139
  • [35] Factors affecting the final solution of the bike-sharing rebalancing problem under heuristic algorithms
    Qiao, Jian
    He, Mengying
    Sun, Niannian
    Sun, Pengfei
    Fan, Ying
    COMPUTERS & OPERATIONS RESEARCH, 2023, 159
  • [36] Predicting Trip Duration and Distance in Bike-Sharing Systems Using Dynamic Time Warping
    Ali, Ahmed
    Salah, Ahmad
    Bekhit, Mahmoud
    Fathalla, Ahmed
    APPLIED ARTIFICIAL INTELLIGENCE, 2025, 39 (01)
  • [37] Optimal pricing and availability strategy of a bike-sharing firm with time-sensitive customers
    Chen, Yujing
    Wang, Dong
    Chen, Kehong
    Zha, Yong
    Bi, Gongbing
    JOURNAL OF CLEANER PRODUCTION, 2019, 228 : 208 - 221
  • [38] Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method
    Liu, Pei
    Chen, Junlan
    Sun, Heyang
    Guo, Xiucheng
    Wang, Yan
    Zhu, Zhenjun
    JOURNAL OF ADVANCED TRANSPORTATION, 2021, 2021
  • [39] Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method
    Liu, Pei
    Chen, Junlan
    Sun, Heyang
    Guo, Xiucheng
    Wang, Yan
    Zhu, Zhenjun
    Journal of Advanced Transportation, 2021, 2021
  • [40] Dockless bike-sharing systems with unusable bikes: removing, repair and redistribution under batch policies
    Fan, Rui-Na
    Li, Quan-Lin
    Wu, Xiaole
    Zhang, Zhe George
    ANNALS OF OPERATIONS RESEARCH, 2022,