IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i9p3820-d355138.html
   My bibliography  Save this article

Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic

Author

Listed:
  • András Lakatos

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)

  • János Tóth

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)

  • Péter Mándoki

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, H-1111 Budapest, Hungary)

Abstract

Providing a sustainable public transport service for areas with several small villages or hamlets is a challenge for the whole of Europe. To serve ‘dead-end villages’, vehicles must make a to-and-fro detour to each village, which requires considerable performance from the operator, and the service must also be ordered from the responsible bodies. The number of inhabitants in rural areas is constantly decreasing, and the remaining residents are aging. This process is due to the fact that economically active people in the country tend to move into towns offering jobs and public institutions instead of commuting to work. The performance requirement of serving low transport demand areas like ‘dead-end villages’ is high, while the number of passengers is very low. Furthermore, passengers are economically less active, and thus their transport must largely be subsidized. The present study hypothesizes that replacing traditional public transport with demand responsive transport (DRT) can make the service of rural areas with less public transport service and low demand sustainable. To prove this hypothesis, a generally applicable, innovative method of analysis based on performance–allocation is introduced, and the application of this method is illustrated by a case study conducted in northeastern Hungary. The number of ‘dead-end villages’ is high in the surveyed area; consequently, the results are impressive. The mathematical model applied here uses several parameters (e.g., population, traffic surveys, trip distance, operational costs), thus the analysis is highly complex.

Suggested Citation

  • András Lakatos & János Tóth & Péter Mándoki, 2020. "Demand Responsive Transport Service of ‘Dead-End Villages’ in Interurban Traffic," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3820-:d:355138
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/9/3820/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/9/3820/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohammad Torkjazi & Nathan Huynh, 2019. "Effectiveness of Dynamic Insertion Scheduling Strategy for Demand-Responsive Paratransit Vehicles Using Agent-Based Simulation," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    2. Jie Xiong & Biao Chen & Xiangnan Li & Zhengbing He & Yanyan Chen, 2020. "Demand Responsive Service-based Optimization on Flexible Routes and Departure Time of Community Shuttles," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    3. Lin Wang & S. C. Wirasinghe & Lina Kattan & Saeid Saidi, 2018. "Optimization of demand-responsive transit systems using zonal strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(3), pages 366-381, July.
    4. Davison, Lisa & Enoch, Marcus & Ryley, Tim & Quddus, Mohammed & Wang, Chao, 2014. "A survey of Demand Responsive Transport in Great Britain," Transport Policy, Elsevier, vol. 31(C), pages 47-54.
    5. Elisabetta Vitale Brovarone & Giancarlo Cotella, 2020. "Improving Rural Accessibility: A Multilayer Approach," Sustainability, MDPI, vol. 12(7), pages 1-20, April.
    6. Andrea Detti & Giuseppe Tropea & Nicola Blefari Melazzi & Dag Kjenstad & Lukas Bach & Ivar Christiansen & Federico Lisi, 2019. "Federation and Orchestration: A Scalable Solution for EU Multimodal Travel Information Services," Sustainability, MDPI, vol. 11(7), pages 1-16, March.
    7. Jooyoung Kim, 2020. "Assessment of the DRT System Based on an Optimal Routing Strategy," Sustainability, MDPI, vol. 12(2), pages 1-9, 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. Rongen, Tibor & Tillema, Taede & Arts, Jos & Alonso-González, María J. & Witte, Jan-Jelle, 2022. "An analysis of the mobility hub concept in the Netherlands: Historical lessons for its implementation," Journal of Transport Geography, Elsevier, vol. 104(C).
    2. GALARZA MONTENEGRO, Bryan David & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2023. "A demand-responsive feeder service with a maximum headway at mandatory stops," Working Papers 2023001, University of Antwerp, Faculty of Business and Economics.

    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. Knierim, Lukas & Schlüter, Jan Christian, 2021. "The attitude of potentially less mobile people towards demand responsive transport in a rural area in central Germany," Journal of Transport Geography, Elsevier, vol. 96(C).
    2. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    3. Schasché, Stephanie E. & Sposato, Robert G. & Hampl, Nina, 2022. "The dilemma of demand-responsive transport services in rural areas: Conflicting expectations and weak user acceptance," Transport Policy, Elsevier, vol. 126(C), pages 43-54.
    4. Olsen, Jonathan R. & Thornton, Lukar & Tregonning, Grant & Mitchell, Richard, 2022. "Nationwide equity assessment of the 20-min neighbourhood in the scottish context: A socio-spatial proximity analysis of residential locations," Social Science & Medicine, Elsevier, vol. 315(C).
    5. Peter Džupka & Radovan Dráb & Marek Gróf & Tomáš Štofa, 2024. "Exploring Willingness to Pay across Different Passenger Traits," Sustainability, MDPI, vol. 16(2), pages 1-16, January.
    6. Akpan, Uduak & Morimoto, Risako, 2022. "An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    7. Daniel Y. Mo & H. Y. Lam & Weikun Xu & G. T. S. Ho, 2020. "Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    8. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.
    9. Margarita Bagamanova & Miguel Mujica Mota & Vittorio Di Vito, 2022. "Exploring the Efficiency of Future Multimodal Networks: A Door-to-Door Case in Europe," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    10. Berrada, Jaâfar & Poulhès, Alexis, 2021. "Economic and socioeconomic assessment of replacing conventional public transit with demand responsive transit services in low-to-medium density areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 317-334.
    11. Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
    12. Mingyue Shao & Dongxu Chen & Xiaolong Lu & Xuefei Liu & Zhongzhen Yang, 2023. "Does Drop and Pull Transport Have a Chance? The Case of China," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    13. Mishra, Sushreeta & Mehran, Babak & Sahu, Prasanta K., 2020. "Assessment of delivery models for semi-flexible transit operation in low-demand conditions," Transport Policy, Elsevier, vol. 99(C), pages 275-287.
    14. GALARZA MONTENEGRO, Bryan David & SÖRENSEN, Kenneth & VANSTEENWEGEN, Pieter, 2023. "A demand-responsive feeder service with a maximum headway at mandatory stops," Working Papers 2023001, University of Antwerp, Faculty of Business and Economics.
    15. Georgios Georgiadis & Ioannis Politis & Panagiotis Papaioannou, 2020. "How Does Operational Environment Influence Public Transport Effectiveness? Evidence from European Urban Bus Operators," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    16. Shibayama, Takeru & Emberger, Günter, 2020. "New mobility services: Taxonomy, innovation and the role of ICTs," Transport Policy, Elsevier, vol. 98(C), pages 79-90.
    17. Pettifor, Hazel & Wilson, Charlie, 2020. "Low carbon innovations for mobility, food, homes and energy: A synthesis of consumer attributes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    18. Sharif Azadeh, Shadi & van der Zee, J. & Wagenvoort, M., 2022. "Choice-driven service network design for an integrated fixed line and demand responsive mobility system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 557-574.
    19. Sultana, Zohora & Mishra, Sabyasachee & Cherry, Christopher R. & Golias, Mihalis M. & Tabrizizadeh Jeffers, Saman, 2018. "Modeling frequency of rural demand response transit trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 494-505.
    20. Flipo, Aurore & Ortar, Nathalie & Sallustio, Madeleine, 2023. "Can the transition to sustainable mobility be fair in rural areas? A stakeholder approach to mobility justice," Transport Policy, Elsevier, vol. 139(C), pages 136-143.

    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:12:y:2020:i:9:p:3820-:d:355138. 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.