IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14566-d1255227.html
   My bibliography  Save this article

Managing Urban Mobility during Big Events through Living Lab Approach

Author

Listed:
  • Cristina Isabel Covelli Garrido

    (AMAT, Agenzia Mobilità Ambiente e Territorio, Via Tommaso Pini 1, 20134 Milan, Italy)

  • Alessandro Giovannini

    (AMAT, Agenzia Mobilità Ambiente e Territorio, Via Tommaso Pini 1, 20134 Milan, Italy)

  • Annalisa Mangone

    (Municipality of Milan, Piazza della Scala 2, 20121 Milan, Italy)

  • Fulvio Silvestri

    (Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa 1, 20156 Milan, Italy)

Abstract

Urban transportation systems encounter distinctive challenges during planned major city events characterized by large gatherings that disrupt traffic patterns. The surge in private car usage for attending such events leads to a sudden increase in traffic, unauthorized parking, pollutant emissions, and risks to pedestrian safety in the vicinity of the event venue. This study delves into the challenges and advantages of employing Decision Support Systems (DSSs) to manage urban mobility during special urban events with the goal of reducing car dependency and promoting sustainable transportation options. The proposed methodology for designing and testing the DSS is based on the living lab principles of co-planning, co-implementing, co-monitoring, co-validating, and co-reviewing with engaged stakeholders. Moreover, testing of the DSS measures in real-world cases (i.e., during a football match at the San Siro Stadium and a concert at the Alcatraz music hall in the city of Milan, Italy) highlights the potential of the DSS in reducing the use of individual private cars in favor of shared mobility and micro-mobility solutions. As a result, the living lab has proven to be a valuable tool for interacting with stakeholders from the outset of brainstorming ideas for potential transport policies to their practical implementation, with the goal of bridging the gap between what decision-makers believe should be done, what transport operators can feasibly do, and what users desire and expect to be done. The insights presented in this paper contribute to the debate on leveraging technology to cultivate more efficient, resilient, and livable urban environments.

Suggested Citation

  • Cristina Isabel Covelli Garrido & Alessandro Giovannini & Annalisa Mangone & Fulvio Silvestri, 2023. "Managing Urban Mobility during Big Events through Living Lab Approach," Sustainability, MDPI, vol. 15(19), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14566-:d:1255227
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14566/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/19/14566/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Echaniz, Eneko & Cordera, Rubén & Rodriguez, Andrés & Nogués, Soledad & Coppola, Pierlugi & dell’Olio, Luigi, 2022. "Spatial and temporal variation of user satisfaction in public transport systems," Transport Policy, Elsevier, vol. 117(C), pages 88-97.
    2. Arampatzis, G. & Kiranoudis, C. T. & Scaloubacas, P. & Assimacopoulos, D., 2004. "A GIS-based decision support system for planning urban transportation policies," European Journal of Operational Research, Elsevier, vol. 152(2), pages 465-475, January.
    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. Hongjun Cui & Mingzhi Li & Minqing Zhu & Xinwei Ma, 2023. "Investigating the Impacts of Urban–Rural Bus Service Quality on Rural Residents’ Travel Choices Using an SEM–MNL Integration Model," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    2. Luo, Shuli & He, Sylvia Y. & Grant-Muller, Susan & Song, Linqi, 2023. "Influential factors in customer satisfaction of transit services: Using crowdsourced data to capture the heterogeneity across individuals, space and time," Transport Policy, Elsevier, vol. 131(C), pages 173-183.
    3. Borzacchiello, M.T. & Casas, I. & Ciuffo, B. & Nijkamp, P., 2008. "Geo-ICT in Transportation Science," Serie Research Memoranda 0001, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Zubaryeva, Alyona & Zaccarelli, Nicola & Del Giudice, Cecilia & Zurlini, Giovanni, 2012. "Spatially explicit assessment of local biomass availability for distributed biogas production via anaerobic co-digestion – Mediterranean case study," Renewable Energy, Elsevier, vol. 39(1), pages 261-270.
    5. Weng, JianCheng & Yu, JiangBo & Di, XiaoJian & Lin, PengFei & Wang, Jing-Jing & Mao, Li-Zeng, 2023. "How does the state of bus operations influence passengers’ service satisfaction? A method considering the differences in passenger preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    6. Zubaryeva, Alyona & Thiel, Christian & Zaccarelli, Nicola & Barbone, Enrico & Mercier, Arnaud, 2012. "Spatial multi-criteria assessment of potential lead markets for electrified vehicles in Europe," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1477-1489.
    7. Ülengin, Füsun & Kabak, Özgür & Önsel, Sule & Ülengin, Burç & Aktas, Emel, 2010. "A problem-structuring model for analyzing transportation-environment relationships," European Journal of Operational Research, Elsevier, vol. 200(3), pages 844-859, February.
    8. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    9. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
    10. José Gerardo Carrillo-González & Guillermo López-Maldonado & Juan Lopez-Sauceda & Francisco Perez-Martinez, 2023. "Method for Selecting the Vehicles That Can Enter a Street Network to Maintain the Speed on Links above a Speed Threshold," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    11. Nordtømme, Marianne Elvsaas & Bjerkan, Kristin Ystmark & Sund, Astrid Bjørgen, 2015. "Barriers to urban freight policy implementation: The case of urban consolidation center in Oslo," Transport Policy, Elsevier, vol. 44(C), pages 179-186.
    12. Choicharoon, Aritad & Hodgett, Richard & Summers, Barbara & Siraj, Sajid, 2024. "Hit or miss: A decision support system framework for signing new musical talent," European Journal of Operational Research, Elsevier, vol. 312(1), pages 324-337.

    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:19:p:14566-:d:1255227. 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.