IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i19p5454-d272765.html
   My bibliography  Save this article

The Influence of Information Services on Public Transport Behavior of Urban and Rural Residents

Author

Listed:
  • Xuemei Zhou

    (College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, 4800 Caoan Highway, Shanghai 201804, China)

  • Jiahui Liang

    (College of Transportation Engineering, Key Laboratory of Road and Traffic Engineering of the State Ministry of Education, Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, 4800 Caoan Highway, Shanghai 201804, China)

  • Xiangfeng Ji

    (Department of Management Science and Engineering, School of Business, Qingdao University, 62 Keda Branch Road, Laoshan District, Qingdao 266000, China)

  • Caitlin D. Cottrill

    (School of Geosciences, Department of Geography & Environment, St Mary’s Building, Elphinstone Road, Aberdeen AB24 3UF, UK)

Abstract

Rural and urban areas are mainly connected by public transport in China. The characteristics of the trips of local residents in rural and urban areas are different; therefore, the demand for public transport information services is different. Based on the revealed data, a structural equation model is applied to examine the critical factors affecting the behavior of urban and rural residents in choosing public transport in the Beidaihe District, Qinhuangdao City, China. The effect of information service factors on public transport behavior of urban and rural residents is obtained. The influence level of public transport information service on public transport behavior of urban and rural residents before and during travel is discussed. This study provides valuable insights to improving public transport services between urban and rural areas of China, which can attract more residents to use public transport and promotes sustainable development between urban and rural areas.

Suggested Citation

  • Xuemei Zhou & Jiahui Liang & Xiangfeng Ji & Caitlin D. Cottrill, 2019. "The Influence of Information Services on Public Transport Behavior of Urban and Rural Residents," Sustainability, MDPI, vol. 11(19), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5454-:d:272765
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/19/5454/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/19/5454/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    2. Chen, Chialin & Achtari, Guyves & Majkut, Kevin & Sheu, Jiuh-Biing, 2017. "Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 148-165.
    3. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    4. May, Anthony D. & Kelly, Charlotte & Shepherd, Simon, 2006. "The principles of integration in urban transport strategies," Transport Policy, Elsevier, vol. 13(4), pages 319-327, July.
    5. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    6. David Levinson, 2003. "The Value of Advanced Traveler Information Systems for Route Choice," Working Papers 200307, University of Minnesota: Nexus Research Group.
    7. Emmerink, Richard H. M. & Verhoef, Erik T. & Nijkamp, Peter & Rietveld, Piet, 1998. "Information policy in road transport with elastic demand: Some welfare economic considerations," European Economic Review, Elsevier, vol. 42(1), pages 71-95, January.
    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. Zhao, Pengjun & Wan, Jie, 2021. "Land use and travel burden of residents in urban fringe and rural areas: An evaluation of urban-rural integration initiatives in Beijing," Land Use Policy, Elsevier, vol. 103(C).

    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. Wang, Yacan & Geng, Kexin & May, Anthony D. & Zhou, Huiyu, 2022. "The impact of traffic demand management policy mix on commuter travel choices," Transport Policy, Elsevier, vol. 117(C), pages 74-87.
    2. Zhang, Rong & Verhoef, Erik T., 2006. "A monopolistic market for advanced traveller information systems and road use efficiency," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 424-443, June.
    3. Allard, Ryan F. & Moura, Filipe, 2018. "Effect of transport transfer quality on intercity passenger mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 109(C), pages 89-107.
    4. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    5. Soriguera, Francesc, 2014. "On the value of highway travel time information systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 294-310.
    6. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    7. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    8. Zhong, Shaopeng & Bushell, Max, 2017. "Impact of the built environment on the vehicle emission effects of road pricing policies: A simulation case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 235-249.
    9. Xuesong Feng & Mitsuru Saito & Quan Wang, 2017. "Reducing average comprehensive travel cost by rationally allocating trips to different travel modes," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 679-688, August.
    10. Md Matiur Rahman & Lina Kattan & S. C. Wirasinghe, 2018. "Trade-offs between headway, fare, and real-time bus information under different weather conditions," Public Transport, Springer, vol. 10(2), pages 217-240, August.
    11. Schneider, Robert James, 2011. "Understanding Sustainable Transportation Choices: Shifting Routine Automobile Travel to Walking and Bicycling," University of California Transportation Center, Working Papers qt06v2g6dh, University of California Transportation Center.
    12. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    13. Lei Zhang & David Levinson, 2006. "Determinants of Route Choice and the Value of Traveler Information," Working Papers 200808, University of Minnesota: Nexus Research Group.
    14. Xiaoquan Wang & Chunfu Shao & Chaoying Yin & Chengxiang Zhuge, 2018. "Exploring the Influence of Built Environment on Car Ownership and Use with a Spatial Multilevel Model: A Case Study of Changchun, China," IJERPH, MDPI, vol. 15(9), pages 1-14, August.
    15. Guerra, Erick & Caudillo, Camilo & Goytia, Cynthia & Quiros, Tatiana Peralta & Rodriguez, Camila, 2018. "Residential location, urban form, and household transportation spending in Greater Buenos Aires," Journal of Transport Geography, Elsevier, vol. 72(C), pages 76-85.
    16. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    17. Zhifeng Gao & Ted C. Schroeder, 2009. "Consumer responses to new food quality information: are some consumers more sensitive than others?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 339-346, May.
    18. Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
    19. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    20. Johannes Buggle & Thierry Mayer & Seyhun Orcan Sakalli & Mathias Thoenig, 2023. "The Refugee’s Dilemma: Evidence from Jewish Migration out of Nazi Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(2), pages 1273-1345.

    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:19:p:5454-:d:272765. 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.