Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China

被引:12
|
作者
Du, Mingyang [1 ]
Cheng, Lin [1 ]
Li, Xuefeng [1 ]
Yang, Jingzong [2 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 211189, Jiangsu, Peoples R China
[2] Baoshan Univ, Sch Informat, Baoshan 678000, Peoples R China
基金
中国国家自然科学基金;
关键词
shared travel mode; characteristic differences; traditional mode; influential factors; multinomial logistic model; DEEP LEARNING APPROACH; BICYCLE; CHOICE; PATTERNS; TRANSIT; MODE;
D O I
10.3390/su11164318
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.
引用
收藏
页数:18
相关论文
共 3 条
  • [1] Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China
    Du, Mingyang
    Cheng, Lin
    [J]. SUSTAINABILITY, 2018, 10 (04)
  • [2] Analyzing users' attitudes and behavior of free-floating bike sharing: an investigating of Nanjing
    Chen, Jing
    Zhang, Yong
    Zhang, Rui
    Cheng, Xu
    Yan, Fengyi
    [J]. 3RD INTERNATIONAL CONFERENCE GREEN CITIES - GREEN LOGISTICS FOR GREENER CITIES, 2019, 39 : 634 - 645
  • [3] Estimating the parking demand of free-floating bike sharing: A journey-data-based study of Nanjing, China
    Hua, Mingzhuang
    Chen, Xuewu
    Zheng, Shujie
    Cheng, Long
    Chen, Jingxu
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 244