Interactive effects of the built environment and rail transit on commuting behavior: Evidence from Hefei, China

被引:3
|
作者
Yan, Ran [1 ,2 ]
Yang, Bo [3 ]
机构
[1] Anhui Jianzhu Univ, Sch Architecture & Urban Planning, Hefei 230000, Peoples R China
[2] City Univ Macau, Fac Innovat & Design, Macau 999078, Peoples R China
[3] Anhui Univ, Sch Internet, Hefei 230000, Peoples R China
关键词
Commuting behavior; Built environment; Interactions; Social ecological model; Urban rail transit; TRAVEL MODE CHOICE; LAND-USE; CAR OWNERSHIP; STATION AREAS; URBAN FORM; IMPACT; RESIDENTS; POLICIES; SUBURBS; TOD;
D O I
10.1016/j.heliyon.2023.e21788
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A deep understanding of the underlying mechanisms of the built environment on commuting behavior along with rail transit is considered of great importance for both TOD land use and formulation of transport policies. The impact of the built environmental factors on commuting behavior has been already explored in the literature. However, the main focus has been laid on the separate effects of each factor and the interactions among these factors have been neglected. Along these lines, taking Hefei, China as the case, this work filled this gap by employing a social ecological model to systematically investigate the interactive effects of the built environment and urban rail transit on commuting behavior. From our analysis, it was demonstrated that land-use intensity was negatively correlated with car commuting, and mixed land use was positively related to metro commuting. Additionally, rail access near the workplace plays a key role in reducing car commuting than residential neighborhoods. This work revealed also some inter-esting findings on the association between rail transit and commuting behavior, which were significantly affected by land use intensity and mixed land-use. Our work provides valuable in-sights for the TOD land use to effectively reduce car commuting.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Examining the varying influences of built environment on bike-sharing commuting: Empirical evidence from Shanghai
    Bi, Hui
    Li, Aoyong
    Hua, Mingzhuang
    Zhu, He
    Ye, Zhirui
    TRANSPORT POLICY, 2022, 129 : 51 - 65
  • [42] Exploring the Spatiotemporal Effects of the Built Environment on the Nonlinear Impacts of Metro Ridership: Evidence from Xi'an, China
    Xi, Yafei
    Hou, Quanhua
    Duan, Yaqiong
    Lei, Kexin
    Wu, Yan
    Cheng, Qianyu
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 13 (03)
  • [43] Causality between multi-scale built environment and rail transit ridership in Beijing and Tokyo
    Huang, Youcheng
    Zhang, Zhijian
    Xu, Qi
    Dai, Siwei
    Chen, Yue
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 130
  • [44] Estimating Rail Transit Passenger Flow Considering Built Environment Factors: A Case Study in Shenzhen
    Wang, Wenjing
    Wang, Haiyan
    Liu, Jun
    Liu, Chengfa
    Wang, Shipeng
    Zhang, Yong
    APPLIED SCIENCES-BASEL, 2024, 14 (23):
  • [45] Spatial Characteristics of Urban Rail Transit Passenger Flows and Fine-scale Built Environment
    Gao D.-H.
    Xu Q.
    Chen P.-W.
    Hu J.-J.
    Zhu Y.-T.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2021, 21 (06): : 25 - 32
  • [46] Analysis of Spatio-temporal Heterogeneity Impact of Built Environment on Rail Transit Passenger Flow
    Xu X.-Y.
    Kong Q.-X.
    Li J.-M.
    Liu J.
    Sun Q.
    Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2023, 23 (04): : 194 - 202
  • [47] Automobile usage and urban rail transit expansion: evidence from a natural experiment in Beijing, China
    Xie, Lunyu
    ENVIRONMENT AND DEVELOPMENT ECONOMICS, 2016, 21 (05) : 557 - 580
  • [48] The impact of urban rail transit on commercial property value: New evidence from Wuhan, China
    Xu, Tao
    Zhang, Ming
    Aditjandra, Paulus T.
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2016, 91 : 223 - 235
  • [50] Role of rural built environment in travel mode choice: Evidence from China
    Yu, Zhao
    Li, Peilin
    Schwanen, Tim
    Zhao, Pengjun
    Zhao, Zhifeng
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 117