Usage behavior and satisfaction analysis of free-floating bicycle sharing system service: Evidence from a Chinese university campus

被引:10
|
作者
Chen, Xin [1 ,2 ]
Ma, Zhenliang [2 ,3 ]
Ye, Guobin [1 ,2 ]
Li, Zhibin [1 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 211189, Jiangsu, Peoples R China
[2] Monash Univ, Inst Transport Studies, Dept Civil Engn, Melbourne, Vic, Australia
[3] 23 Coll Walk, Clayton, Vic 3800, Australia
基金
中国国家自然科学基金;
关键词
Free-floating bicycle sharing system (FFBSS); Chinese university campus; Usage frequency; Trip characteristics; Satisfaction analysis; USERS WILLINGNESS; BIKE; ATTITUDES; PATTERNS; BENEFITS;
D O I
10.1016/j.rtbm.2021.100703
中图分类号
F [经济];
学科分类号
02 ;
摘要
The free-floating bicycle sharing system (FFBSS) service has been becoming an important and popular mode for travel in the urban mobility ecosystem. Although many studies conducted surveys to understand the usage characteristics of FFBSS service for the general population, few studies focus on the usage behavior of university students. A total of 228 valid responses from Huai'yin Institute of Technology (HYIT) were collected to examine the usage behavior of FFBSS service and identify the key service attributes driving satisfaction levels among Chinese university students. Undergraduate and graduate university students are an important and novel pop-ulation, as they are still forming their values and beliefs, and therefore are more open to engaging in sustain-ability efforts (e.g., not owning a car or choices towards green travel modes). Descriptive analysis was performed to analyze FFBSS service usage frequency, FFBSS trip characteristics, and the motivation to use FFBSS service. The results show that the socio-demographic information (e.g., age, gender, year of study, and monthly expense) and e-bike/bike ownership significantly influence the usage frequency. Time-saving and convenience are two of the main motivations driving FFBSS service usage. Multivariate regression and importance-performance analysis (IPA) are conducted to identify important FFBSS service attributes impacting user satisfaction levels and identify priority service attributes for improvement. It highlights the importance of the density of the designated location for bike returns, the number of available bicycles, the position accuracy of bicycles, and the good functioning condition of bicycles. The findings provide useful insights into the planning and management of FFBSS services on campus and in cities.
引用
收藏
页数:9
相关论文
共 24 条
  • [1] A multi-faceted characterization of free-floating car sharing service usage
    Giordano, Danilo
    Vassio, Luca
    Cagliero, Luca
    Transportation Research Part C: Emerging Technologies, 2021, 125
  • [2] A multi-faceted characterization of free-floating car sharing service usage
    Giordano, Danilo
    Vassio, Luca
    Cagliero, Luca
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 125
  • [3] Bicycle sharing station planning: From free-floating to geo-fencing
    Cai, Yutong
    Ong, Ghim Ping
    Meng, Qiang
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 147
  • [4] Geo-fenced parking spaces identification for free-floating bicycle sharing system
    Zhao, De
    Ong, Ghim Ping
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2021, 148 : 49 - 63
  • [5] The impact of free-floating carsharing on sustainable cities: analysis of first experiences in Madrid with the university campus
    Ampudia-Renuncio, Maria
    Guirao, Begona
    Molina-Sanchez, Rafael
    SUSTAINABLE CITIES AND SOCIETY, 2018, 43 : 462 - 475
  • [6] Cyclist Satisfaction Evaluation Model for Free-Floating Bike-Sharing System: A Case Study of Shanghai
    Xin, Feifei
    Chen, Yifan
    Wang, Xiaobo
    Chen, Xiaohong
    TRANSPORTATION RESEARCH RECORD, 2018, 2672 (31) : 21 - 32
  • [7] Exploring usage pattern variation of free-floating bike-sharing from a night travel perspective
    Yu, Senbin
    Han, Xianke
    Liu, Ling
    Liu, Gehui
    Cheng, Minghui
    Ke, Yu
    Li, Lili
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [8] A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system
    Du, Yuchuan
    Deng, Fuwen
    Liao, Feixiong
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 103 : 39 - 55
  • [9] Avoiding stranded bicycles in free-floating bicycle-sharing systems: using survival analysis to derive operational rules for rebalancing
    Guidon, Sergio
    Becker, Henrik
    Axhausen, Kay
    2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC), 2019, : 1703 - 1708
  • [10] Social Factors Influencing the Choice of Bicycle: Difference Analysis among Private Bike, Public Bike Sharing and Free-Floating Bike Sharing in Kunming, China
    Xuefeng Li
    Yong Zhang
    Mingyang Du
    Jingzong Yang
    KSCE Journal of Civil Engineering, 2019, 23 : 2339 - 2348