Influence of TOD Modes on Passenger Travel Behavior in Urban Rail Transit Systems

被引:0
作者
Xiaohong Li
Qiming Xiao
Yadi Zhu
Yuting Yang
机构
[1] Beijing Jiaotong University,School of Civil Engineering
[2] Jinhua Traffic Engineering Management Center,undefined
来源
Urban Rail Transit | 2022年 / 8卷
关键词
Urban rail transit; TOD; Travel behavior; Self-selection behavior; Cluster analysis; Propensity score matching;
D O I
暂无
中图分类号
学科分类号
摘要
Transit-oriented development (TOD) mode refers to the integrated development of high-density and multi-functional land in the vicinity of core public transportation stations to increase public transportation rates and address problems such as traffic congestion and land shortages. Therefore, it is crucial to comprehend the relationship between TOD areas and the travel behavior of rail transit residents. However, the income level and occupation of residents have a significant impact on their travel behavior, as people tend to choose their residential, work, and entertainment areas based on their economic characteristics. This paper focuses primarily on two aspects: how to distinguish TOD areas from non-TOD areas (specifically, rail stations) and the variations in the travel behavior of the people residing in these areas. Rail stations were first classified via cluster analysis according to the selected TOD indexes; then, a propensity score matching method was applied to control the influence of self-selection behavior. Based on this, the matched results were analyzed to study the difference in the travel behavior characteristics of residents in TOD and non-TOD areas. The results indicate that residents in TOD areas are more likely to travel by public transportation than those from non-TOD areas. The findings of this study promote a people-oriented urban planning concept and would have practical implications for applications of TOD modes on urban public transportation systems.
引用
收藏
页码:175 / 183
页数:8
相关论文
共 50 条
  • [31] Influence factors analysis of rail potential in urban rail transit
    Gu, Jingda
    Yang, Xiaofeng
    Zheng, Trillion Q.
    MICROELECTRONICS RELIABILITY, 2018, 88-90 : 1300 - 1304
  • [32] The competition of passenger flow between urban rail transit and conventional bus
    Chen, Leilei
    Zhang, Xingchen
    Xu, Bin
    Chen, Junhua
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ENGINEERING MANAGEMENT, ENGINEERING EDUCATION AND INFORMATION TECHNOLOGY, 2015, 36 : 104 - 109
  • [33] Trend Analysis of Passenger Evacuation Modeling Technology in Urban Rail Transit
    Wang, Jinfeng
    Sun, Lianying
    2020 IEEE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (IEEE ICITE 2020), 2020, : 123 - 127
  • [34] Modeling on coordinated passenger inflow control for urban rail transit network
    Yao, Xiangming
    Zhao, Peng
    Qiao, Ke
    Yu, Dandan
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2015, 46 (01): : 342 - 350
  • [35] Land Premium Effects of Urban Rail Transit and the Associated Policy Insights for TOD: A Case of Ningbo, China
    Lin, Xiongbin
    Niu, Buqing
    Liu, Wenting
    Zhong, Jingjing
    Dou, Qianqian
    URBAN RAIL TRANSIT, 2022, 8 (3-4) : 157 - 166
  • [36] Land Premium Effects of Urban Rail Transit and the Associated Policy Insights for TOD: A Case of Ningbo, China
    Xiongbin Lin
    Buqing Niu
    Wenting Liu
    Jingjing Zhong
    Qianqian Dou
    Urban Rail Transit, 2022, 8 : 157 - 166
  • [37] Effect of rail transit on travel behavior: A systematic review and meta-analysis
    Wang, Jingjing
    Cheng, Weibin
    Lu, Yi
    Wang, Donggen
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2023, 122
  • [38] Calibrating travel time thresholds with cluster analysis and AFC data for passenger reasonable route generation on an urban rail transit network
    Zhu, Wei
    Fan, Wei-li
    Wahaballa, Amr M.
    Wei, Jin
    TRANSPORTATION, 2020, 47 (06) : 3069 - 3090
  • [39] A Comprehensive Review of the Development Characteristics and Future Trends of TOD in Chinese Urban Rail Transit
    Wang, Linyan
    Xia, Haishan
    URBAN RAIL TRANSIT, 2024, 10 (04) : 335 - 349
  • [40] Calibrating travel time thresholds with cluster analysis and AFC data for passenger reasonable route generation on an urban rail transit network
    Wei Zhu
    Wei-li Fan
    Amr M. Wahaballa
    Jin Wei
    Transportation, 2020, 47 : 3069 - 3090