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Observing Trip Chain Characteristics of Round-Trip Carsharing Users in China: A Case Study Based on GPS Data in Hangzhou City

Author

Listed:
  • Ying Hui

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Mengtao Ding

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Kun Zheng

    (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
    College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Dong Lou

    (Hangzhou Institute of Communications Planning Design & Research, Hangzhou 310000, China)

Abstract

Carsharing as a means to provide individuals with access to automobiles to complete a personal trip has grown significantly in recent years in China. However, there are few case studies based on operational data to show the role carsharing systems play in citizens’ daily trips. In this study, vehicle GPS data of a round-trip carsharing system in Hangzhou, China was used to describe the trip chain characteristics of users. For clearer delineation of carshare usage, the car use time length of all observations chosen in the study was within 24 h or less. Through data preprocessing, a large pool (26,085) of valid behavior samples was obtained, and several trip chaining attributes were selected to describe the characteristics. The pool of observations was then classified into five clusters, with each cluster having significant differences in one or two trip chain characteristics. The cluster results reflected that different use patterns exist. By a comparative analysis with trip survey data in Hangzhou, differences in trip chain characteristics exist between carsharing and private cars, but in some cases, shared vehicles can be a substitute for private cars to satisfy motorized travel. The proposed method could facilitate companies in formulating a flexible pricing strategy and determining target customers. In addition, traffic administration agencies could have a deeper understanding of the position and function of various carsharing modes in an urban transportation system.

Suggested Citation

  • Ying Hui & Mengtao Ding & Kun Zheng & Dong Lou, 2017. "Observing Trip Chain Characteristics of Round-Trip Carsharing Users in China: A Case Study Based on GPS Data in Hangzhou City," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:949-:d:100527
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    References listed on IDEAS

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    1. Habib, Khandker M. Nurul & Morency, Catherine & Islam, Mohammed Tazul & Grasset, Vincent, 2012. "Modelling users’ behaviour of a carsharing program: Application of a joint hazard and zero inflated dynamic ordered probability model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 241-254.
    2. Schaefers, Tobias, 2013. "Exploring carsharing usage motives: A hierarchical means-end chain analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 69-77.
    3. Kim, Kyeongsu, 2015. "Can carsharing meet the mobility needs for the low-income neighborhoods? Lessons from carsharing usage patterns in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 249-260.
    4. Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
    5. Wang, Mingquan & Martin, Elliot W & Shaheen, Susan A, 2012. "Carsharing in Shanghai, China: Analysis of Behavioural Response to Local Survey and Potential Competition," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4106z3tc, Institute of Transportation Studies, UC Berkeley.
    6. Du, Jianhe & Aultman-Hall, Lisa, 2007. "Increasing the accuracy of trip rate information from passive multi-day GPS travel datasets: Automatic trip end identification issues," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(3), pages 220-232, March.
    7. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
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    Cited by:

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    4. Leiming Li & Yu Zhang, 2023. "An extended theory of planned behavior to explain the intention to use carsharing: a multi-group analysis of different sociodemographic characteristics," Transportation, Springer, vol. 50(1), pages 143-181, February.
    5. Feng, Xiaoyan & Sun, Huijun & Wu, Jianjun & Liu, Zhiyuan & Lv, Ying, 2020. "Trip chain based usage patterns analysis of the round-trip carsharing system: A case study in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 190-203.

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