IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p4855-d264473.html
   My bibliography  Save this article

Compensation Scheme for Self-Employed Bus Service Requisitions in Urban–Rural Passenger Transport

Author

Listed:
  • Chunqin Zhang

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Yuting Hu

    (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Anning Ni

    (School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai 200052, China)

  • Hongwei Li

    (College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China)

Abstract

This paper addresses a compensation scheme for self-employed bus service requisition of rural passenger transport, and provides a theoretical basis and policy recommendations for the smooth implementation of self-employed bus service requisition process and the integration of urban–rural passenger transport resources. Using Chinese urban–rural passenger transport systems in ten cities or counties (including Shenyang, Liaoyang, Wuxi, Suzhou, Laiwu, Zouping, Wuhu, Guangde, Shuangliu, and Fuyang) as research objects, the compensation scheme for self-employed bus service requisition is explored from three aspects: the construction of compensation model, the estimation of compensation amount, and the determination of compensation mode. The conclusions drawn from this study are summarized as follows: (1) The compensation amount consists of the bus service residual value, the compensation for expected profit in the residual operation period, and the awarded amount for signing compensation agreements. (2) Whether or not bus owners accept the compensation amount is closely related to their psychological expectation threshold. Changes in the average profit of the bus service, the driver’s average wage, and the ticket-seller’s wage, have the greatest impact, the second greatest impact, and the smallest impact on their psychological expectation threshold, respectively. (3) Younger and more highly educated owners tend to accept “monetary compensation and reemployment placement”, while older and low educated owners prefer “monetary compensation and social security”. (4) High compensation fees, providing reemployment placement for drivers and ticket-sellers, and implementing monetary compensation in the form of an “expected income dividend installment” can enhance willingness to sign compensation agreements for self-employed bus service.

Suggested Citation

  • Chunqin Zhang & Yuting Hu & Anning Ni & Hongwei Li, 2019. "Compensation Scheme for Self-Employed Bus Service Requisitions in Urban–Rural Passenger Transport," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4855-:d:264473
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/4855/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/18/4855/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feifei Qin & Xiaoning Zhang, 2015. "Designing an Optimal Subsidy Scheme to Reduce Emissions for a Competitive Urban Transport Market," Sustainability, MDPI, vol. 7(9), pages 1-16, August.
    2. Tscharaktschiew, Stefan & Hirte, Georg, 2012. "Should subsidies to urban passenger transport be increased? A spatial CGE analysis for a German metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 285-309.
    3. van Vuuren, Daniel, 2002. "Optimal pricing in railway passenger transport: theory and practice in The Netherlands," Transport Policy, Elsevier, vol. 9(2), pages 95-106, April.
    4. Wenqian Zou & Meichen Yu & Shoshi MIZOKAMI, 2019. "Mechanism Design for an Incentive Subsidy Scheme for Bus Transport," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    5. Tirachini, Alejandro & Hensher, David A. & Rose, John M., 2014. "Multimodal pricing and optimal design of urban public transport: The interplay between traffic congestion and bus crowding," Transportation Research Part B: Methodological, Elsevier, vol. 61(C), pages 33-54.
    6. Jørgensen, Finn & Pedersen, Hassa & Solvoll, Gisle, 2004. "Ramsey pricing in practice: the case of the Norwegian ferries," Transport Policy, Elsevier, vol. 11(3), pages 205-214, July.
    7. Anas, Alex, 2012. "The optimal pricing, finance and supply of urban transportation in general equilibrium: A theoretical exposition," Economics of Transportation, Elsevier, vol. 1(1), pages 64-76.
    8. De Borger, Bruno & Fosgerau, Mogens, 2012. "Information provision by regulated public transport companies," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 492-510.
    9. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
    10. Basso, Leonardo J. & Guevara, Cristián Angelo & Gschwender, Antonio & Fuster, Marcelo, 2011. "Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion," Transport Policy, Elsevier, vol. 18(5), pages 676-684, September.
    11. Zhang, Chunqin & Juan, Zhicai & Luo, Qingyu & Xiao, Guangnian, 2016. "Performance evaluation of public transit systems using a combined evaluation method," Transport Policy, Elsevier, vol. 45(C), pages 156-167.
    12. Liu, Luo & Liu, Zhenjie & Gong, Jianzhou & Wang, Lu & Hu, Yueming, 2019. "Quantifying the amount, heterogeneity, and pattern of farmland: Implications for China’s requisition-compensation balance of farmland policy," Land Use Policy, Elsevier, vol. 81(C), pages 256-266.
    13. James F. Campbell & Morton E. O'Kelly, 2012. "Twenty-Five Years of Hub Location Research," Transportation Science, INFORMS, vol. 46(2), pages 153-169, May.
    14. Holmgren, Johan, 2007. "Meta-analysis of public transport demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1021-1035, December.
    15. Zhang, Chunqin & Xiao, Guangnian & Liu, Yong & Yu, Feng, 2018. "The relationship between organizational forms and the comprehensive effectiveness for public transport services in China?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 783-802.
    16. Deb, Kaushik & Filippini, Massimo, 2011. "Estimating welfare changes from efficient pricing in public bus transit in India," Transport Policy, Elsevier, vol. 18(1), pages 23-31, January.
    17. Hensher, David A. & Ho, Chinh & Knowles, Louise, 2016. "Efficient contracting and incentive agreements between regulators and bus operators: The influence of risk preferences of contracting agents on contract choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 22-40.
    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. Peiqing Li & Longlong Jiang & Shunfeng Zhang & Xi Jiang, 2022. "Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization," Sustainability, MDPI, vol. 14(20), pages 1-17, October.

    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. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. Shiqian Ji & Jiaming Zhong & Zhaocheng He, 2022. "A Bus Subsidy Scheme Design Model Considering Competition between Bus Companies," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    3. Wang, Wei (Walker) & Wang, David Z.W. & Zhang, Fangni & Sun, Huijun & Zhang, Wenyi & Wu, Jianjun, 2017. "Overcoming the Downs-Thomson Paradox by transit subsidy policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 126-147.
    4. Vigren, Andreas & Pyddoke, Roger, 2020. "The impact on bus ridership of passenger incentive contracts in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 144-159.
    5. Drevs, Florian & Tscheulin, Dieter K. & Lindenmeier, Jörg & Renner, Simone, 2014. "Crowding-in or crowding out: An empirical analysis on the effect of subsidies on individual willingness-to-pay for public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 250-261.
    6. Sun, Yanshuo & Gong, Hengye & Guo, Qianwen & Schonfeld, Paul & Li, Zhongfei, 2020. "Regulating a public transit monopoly under asymmetric cost information," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 496-522.
    7. Asplund, Disa & Pyddoke, Roger, 2020. "Optimal fares and frequencies for bus services in a small city," Research in Transportation Economics, Elsevier, vol. 80(C).
    8. Wey, Wann-Ming & Kang, Chao-Chung & Khan, Haider A., 2020. "Evaluating the effects of environmental factors and a transfer fare discount policy on the performance of an urban metro system," Transport Policy, Elsevier, vol. 97(C), pages 172-185.
    9. Yao, Di & Xu, Liqun & Li, Jinpei, 2020. "Does technical efficiency play a mediating role between bus facility scale and ridership attraction? Evidence from bus practices in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 77-96.
    10. Ihab Kaddoura & Benjamin Kickhöfer & Andreas Neumann & Alejandro Tirachini, 2015. "Agent-based optimisation of public transport supply and pricing: impacts of activity scheduling decisions and simulation randomness," Transportation, Springer, vol. 42(6), pages 1039-1061, November.
    11. Dröes, Martijn I. & Rietveld, Piet, 2015. "Rail-based public transport and urban spatial structure: The interplay between network design, congestion and urban form," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 421-439.
    12. Hirte, Georg & Tscharaktschiew, Stefan, 2013. "The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis," Energy Economics, Elsevier, vol. 40(C), pages 515-528.
    13. Luo, Qingyu & Bing, Xue & Jia, Hongfei & Song, Jinge, 2022. "An incentive subsidy mechanism for bus lines based on service level," Transport Policy, Elsevier, vol. 126(C), pages 1-13.
    14. Sheng, Dian & Meng, Qiang, 2020. "Public bus service contracting: A critical review and future research opportunities," Research in Transportation Economics, Elsevier, vol. 83(C).
    15. Nir Sharav & Yoram Shiftan, 2021. "Optimal Urban Transit Investment Model and Its Application," Sustainability, MDPI, vol. 13(16), pages 1-29, August.
    16. Anderson, Paul & Geroliminis, Nikolas, 2020. "Dynamic lane restrictions on congested arterials," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 224-243.
    17. Daniel Hörcher & Daniel J. Graham, 2021. "The Gini index of demand imbalances in public transport," Transportation, Springer, vol. 48(5), pages 2521-2544, October.
    18. Zhang, Chunqin & Liu, Yong & Lu, Weite & Xiao, Guangnian, 2019. "Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 149-164.
    19. Nan Yang & Yong Long Lim, 2018. "Temporary Incentives Change Daily Routines: Evidence from a Field Experiment on Singapore’s Subways," Management Science, INFORMS, vol. 64(7), pages 3365-3379, July.
    20. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.

    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:18:p:4855-:d:264473. 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.