IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p14698-d1256976.html
   My bibliography  Save this article

Designing Mobility Policies for Vulnerable Users Employing the Living Lab Approach: Cases of a Demand-Responsive Transit Service in Ljubljana and Maribor

Author

Listed:
  • Pietro Mariano

    (Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy)

  • Marco Trolese

    (Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy)

  • David Kastelec

    (Development Projects and Investments Office, City of Ljubljana, 1000 Ljubljana, Slovenia)

  • Mateja Bitenc

    (Development Projects and Investments Service—Project Office, City of Maribor, 2000 Maribor, Slovenia)

  • Deja Jurgec

    (Development Projects and Investments Service—Project Office, City of Maribor, 2000 Maribor, Slovenia)

Abstract

In recent years, transport policy has strongly been oriented to develop more inclusive cities and to design mobility services aligned to specific users’ needs. In an attempt to guarantee an adequate level of accessibility, especially to vulnerable users, approaches based on the dialogue between public administration, operators, citizens and researchers (so-called “quadruple helix”) have been proposed. The two case studies presented in this article refer to the development of a minibus demand-responsive transport system, devoted mainly to people with reduced mobility, in the cities of Ljubljana and Maribor (Slovenia) designed using a Living Lab participative approach. In fact, urban mobility stakeholders were engaged in this process during the design and monitoring phases of the pilot projects. Their involvement resulted in producing positive outcomes: citizens actively participated in the projects, and the designed service was perceived to be useful and effective. Both projects were successful, as statistics demonstrate, and are expected to be confirmed and strengthened over the next few years.

Suggested Citation

  • Pietro Mariano & Marco Trolese & David Kastelec & Mateja Bitenc & Deja Jurgec, 2023. "Designing Mobility Policies for Vulnerable Users Employing the Living Lab Approach: Cases of a Demand-Responsive Transit Service in Ljubljana and Maribor," Sustainability, MDPI, vol. 15(20), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14698-:d:1256976
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/14698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/20/14698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ho, Sin C. & Szeto, W.Y. & Kuo, Yong-Hong & Leung, Janny M.Y. & Petering, Matthew & Tou, Terence W.H., 2018. "A survey of dial-a-ride problems: Literature review and recent developments," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 395-421.
    2. Yves Molenbruch & Kris Braekers & An Caris, 2017. "Typology and literature review for dial-a-ride problems," Annals of Operations Research, Springer, vol. 259(1), pages 295-325, December.
    3. Mónica E. Edwards-Schachter & Cristian E. Matti & Enrique Alcántara, 2012. "Fostering Quality of Life through Social Innovation: A Living Lab Methodology Study Case," Review of Policy Research, Policy Studies Organization, vol. 29(6), pages 672-692, November.
    4. Jean-François Cordeau & Gilbert Laporte, 2007. "The dial-a-ride problem: models and algorithms," Annals of Operations Research, Springer, vol. 153(1), pages 29-46, September.
    5. Brake, Jenny & Mulley, Corinne & Nelson, John D. & Wright, Steve, 2007. "Key lessons learned from recent experience with Flexible Transport Services," Transport Policy, Elsevier, vol. 14(6), pages 458-466, November.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    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. MELIS, Lissa & SÖRENSEN, Kenneth, 2021. "The real-time on-demand bus routing problem: What is the cost of dynamic requests?," Working Papers 2021003, University of Antwerp, Faculty of Business and Economics.
    3. Trotta, Manuel & Archetti, Claudia & Feillet, Dominique & Quilliot, Alain, 2022. "Pickup and delivery problems with autonomous vehicles on rings," European Journal of Operational Research, Elsevier, vol. 300(1), pages 221-236.
    4. Lian, Ying & Lucas, Flavien & Sörensen, Kenneth, 2024. "Prepositioning can improve the performance of a dynamic stochastic on-demand public bus system," European Journal of Operational Research, Elsevier, vol. 312(1), pages 338-356.
    5. Omar Rifki, 2024. "Autonomous Ride-Sharing Service Using Graph Embedding and Dial-a-Ride Problem: Application to the Last-Mile Transit in Lyon City," Mathematics, MDPI, vol. 12(4), pages 1-17, February.
    6. Mourad, Abood & Puchinger, Jakob & Chu, Chengbin, 2019. "A survey of models and algorithms for optimizing shared mobility," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 323-346.
    7. Su, Yue & Dupin, Nicolas & Puchinger, Jakob, 2023. "A deterministic annealing local search for the electric autonomous dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1091-1111.
    8. Mina Roohnavazfar & Seyed Hamid Reza Pasandideh, 2022. "Decomposition algorithm for the multi-trip single vehicle routing problem with AND-type precedence constraints," Operational Research, Springer, vol. 22(4), pages 4253-4285, September.
    9. Sharif Azadeh, Sh. & Atasoy, Bilge & Ben-Akiva, Moshe E. & Bierlaire, M. & Maknoon, M.Y., 2022. "Choice-driven dial-a-ride problem for demand responsive mobility service," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 128-149.
    10. Ritzinger, Ulrike & Puchinger, Jakob & Rudloff, Christian & Hartl, Richard F., 2022. "Comparison of anticipatory algorithms for a dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 301(2), pages 591-608.
    11. Gaul, Daniela & Klamroth, Kathrin & Stiglmayr, Michael, 2022. "Event-based MILP models for ridepooling applications," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1048-1063.
    12. Rahman, Md Hishamur & Chen, Shijie & Sun, Yanshuo & Siddiqui, Muhammad Imran Younus & Mohebbi, Matthew & Marković, Nikola, 2023. "Integrating dial-a-ride with transportation network companies for cost efficiency: A Maryland case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    13. Wang, Jun & Wang, Xiaolei & Yang, Shan & Yang, Hai & Zhang, Xiaoning & Gao, Ziyou, 2021. "Predicting the matching probability and the expected ride/shared distance for each dynamic ridepooling order: A mathematical modeling approach," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 125-146.
    14. Zahra Navidi & Nicole Ronald & Stephan Winter, 2018. "Comparison between ad-hoc demand responsive and conventional transit: a simulation study," Public Transport, Springer, vol. 10(1), pages 147-167, May.
    15. Zhan, Xingbin & Szeto, W.Y. & Shui, C.S. & Chen, Xiqun (Michael), 2021. "A modified artificial bee colony algorithm for the dynamic ride-hailing sharing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    16. Dikas, G. & Minis, I., 2014. "Scheduled paratransit transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 18-34.
    17. Badia, Hugo & Jenelius, Erik, 2021. "Design and operation of feeder systems in the era of automated and electric buses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 146-172.
    18. Lu, Chang & Wu, Yuehui & Yu, Shanchuan, 2022. "A Sample Average Approximation Approach for the Stochastic Dial-A-Ride Problem on a Multigraph with User Satisfaction," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1031-1044.
    19. Schulz, Arne & Pfeiffer, Christian, 2024. "Using fixed paths to improve branch-and-cut algorithms for precedence-constrained routing problems," European Journal of Operational Research, Elsevier, vol. 312(2), pages 456-472.
    20. Aslaksen, Ingvild Eide & Svanberg, Elisabeth & Fagerholt, Kjetil & Johnsen, Lennart C. & Meisel, Frank, 2021. "A combined dial-a-ride and fixed schedule ferry service for coastal cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 306-325.

    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:15:y:2023:i:20:p:14698-:d:1256976. 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.