IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i23p6689-d291132.html
   My bibliography  Save this article

Identifying and Predicting the Expenditure Level Characteristics of Car-Sharing Users Based on the Empirical Data

Author

Listed:
  • Qiuyue Sai

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Jun Bi

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
    Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Dongfan Xie

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Wei Guan

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Car-sharing plays a positive role in reducing vehicle ownership and greenhouse gas emissions. However, the developmental contradictions between high investment and low revenues hinder the development of the car-sharing industry. Fully understanding car-sharing users can effectively ensure the healthy development of car-sharing companies and promote the development of the entire industry. To this end, this study attempts to develop a user management method that is based on user layering and prediction methods. By using order data from the Lan Zhou car-sharing company in China, this paper develops a clustering method for layering car-sharing users. A multi-layer perceptron model is also developed to categorize these users into different expenditure level categories while considering periodic features. Results show that new users can be divided into three categories according to their expenditures to car-sharing companies within 84 days. After 5 weeks of observation, the 84-day category of new users can be predicted with an accuracy of over 85%. These results provide scientific decision support for the user management and profitability of car-sharing companies.

Suggested Citation

  • Qiuyue Sai & Jun Bi & Dongfan Xie & Wei Guan, 2019. "Identifying and Predicting the Expenditure Level Characteristics of Car-Sharing Users Based on the Empirical Data," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6689-:d:291132
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/23/6689/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/23/6689/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shaheen, Susan A & Martin, Elliot, 2010. "Demand for Carsharing Systems in Beijing, China: An Exploratory Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt34f5h2r0, Institute of Transportation Studies, UC Berkeley.
    2. Shaheen, Susan, 2002. "Shared-Use Vehicle Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8m2060r1, Institute of Transportation Studies, UC Berkeley.
    3. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2014. "Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 71-85.
    4. Shaheen, Susan, 2002. "Shared-Use Vehicle Systems," Institute of Transportation Studies, Working Paper Series qt8m2060r1, Institute of Transportation Studies, UC Davis.
    5. Coll, Marie-Hélène & Vandersmissen, Marie-Hélène & Thériault, Marius, 2014. "Modeling spatio-temporal diffusion of carsharing membership in Québec City," Journal of Transport Geography, Elsevier, vol. 38(C), pages 22-37.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shichao Sun & Yuanqian Liu & Yukun Yao & Zhengyu Duan & Xiaokun Wang, 2021. "The Determinants to Promote College Students’ Use of Car-Sharing: An Empirical Study at Dalian Maritime University, China," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    2. Fei Ma & Dan Guo & Kum Fai Yuen & Qipeng Sun & Fuxia Ren & Xiaobo Xu & Chengyong Zhao, 2020. "The Influence of Continuous Improvement of Public Car-Sharing Platforms on Passenger Loyalty: A Mediation and Moderation Analysis," IJERPH, MDPI, vol. 17(8), pages 1-21, April.
    3. Xianbin Wang & Yuqi Zhao & Weifeng Li, 2023. "Recognition of Commercial Vehicle Driving Cycles Based on Multilayer Perceptron Model," Sustainability, MDPI, vol. 15(3), pages 1-21, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Riccardo Ceccato & Marco Diana, 2021. "Substitution and complementarity patterns between traditional transport means and car sharing: a person and trip level analysis," Transportation, Springer, vol. 48(4), pages 1523-1540, August.
    2. Yoon-Young Chun & Mitsutaka Matsumoto & Kiyotaka Tahara & Kenichiro Chinen & Hideki Endo, 2019. "Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    3. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    4. Nakamura, Hiroki & Uchida, Akira & Managi, Shunsuke, 2019. "Relationship between community-sharing of new personal transportation and local residents’ daily life consciousness," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 104-110.
    5. Rotaris, Lucia & Danielis, Romeo & Maltese, Ila, 2019. "Carsharing use by college students: The case of Milan and Rome," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 239-251.
    6. Shichao Sun & Yuanqian Liu & Yukun Yao & Zhengyu Duan & Xiaokun Wang, 2021. "The Determinants to Promote College Students’ Use of Car-Sharing: An Empirical Study at Dalian Maritime University, China," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    7. Barth, Matthew & Shaheen, Susan & Fukuda, Tuenjai & Fukuda, Atsushi, 2005. "Carsharing and Station Cars in Asia: An Overview of Japan and Singapore," Institute of Transportation Studies, Working Paper Series qt4qw379rx, Institute of Transportation Studies, UC Davis.
    8. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    9. Shaheen, Susan A. & Meyn, Mollyanne & Wipyewski, Kamill, 2003. "U.S. Shared-use Vehicle Survey Findings: Opportunities and Obstacles for Carsharing and Station Car Growth," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt69x684m2, Institute of Transportation Studies, UC Berkeley.
    10. Vinayak, Pragun & Dias, Felipe F. & Astroza, Sebastian & Bhat, Chandra R. & Pendyala, Ram M. & Garikapati, Venu M., 2018. "Accounting for multi-dimensional dependencies among decision-makers within a generalized model framework: An application to understanding shared mobility service usage levels," Transport Policy, Elsevier, vol. 72(C), pages 129-137.
    11. Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    12. Cen Zhang & Jan-Dirk Schmöcker & Martin Trépanier, 2022. "Latent stage model for carsharing usage frequency estimation with Montréal case study," Transportation, Springer, vol. 49(1), pages 185-211, February.
    13. Vanduy Tran & Shengchuan Zhao & El Bachir Diop & Weiya Song, 2019. "Travelers’ Acceptance of Electric Carsharing Systems in Developing Countries: The Case of China," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
    14. Shaheen, Susan & Wright, John & Sperling, Daniel, 2001. "California's Zero Emission Vehicle Mandate - Linking Clean Fuel Cars, Carsharing, and Station Car Strategies," Institute of Transportation Studies, Working Paper Series qt447386zj, Institute of Transportation Studies, UC Davis.
    15. Jorge, Diana & Molnar, Goran & de Almeida Correia, Gonçalo Homem, 2015. "Trip pricing of one-way station-based carsharing networks with zone and time of day price variations," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 461-482.
    16. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    17. Xi Chen & Qixing Qu & Ming-Hsiang Chen & Shaofen Fang & Yi Cheng, 2018. "The Sustainable Existence of China’s Bicycle-Sharing Market: To Oversupply or to Disappear," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    18. Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando, 2017. "Fleet and revenue management in car rental companies: A literature review and an integrated conceptual framework," Omega, Elsevier, vol. 71(C), pages 11-26.
    19. Peng Shao & Jie Liang, 2019. "An Analysis of the Factors Influencing the Sustainable Use Intention of Urban Shared Bicycles in China," Sustainability, MDPI, vol. 11(10), pages 1-13, May.
    20. Lipman, Timothy & Shaheen, Susan, 2005. "Integrated Hydrogen and Intelligent Transportation Systems Evaluation for the California Department of Transportation," Institute of Transportation Studies, Working Paper Series qt63d0t5wb, Institute of Transportation Studies, UC Davis.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6689-:d:291132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.