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Evaluating the Location of the Park-and-Ride System Using Multi-Criteria Methods: A Systematic Review

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  • Juan Palaguachi

    (Facultad de Ingenierías y Arquitectura, Ingeniería en Logística y Transporte, Universidad Técnica Particular de Loja (UTPL), San Cayetano Alto S/N, Loja 110107, Ecuador)

  • Monserrath Padilla

    (Facultad de Informática y Electrónica (FIE), Escuela Superior Politécnica de Chimborazo (ESPOCH), Carrera de Electrónica y Automatización, Panamericana Sur Km 1 1/2 Street, Riobamba 060107, Ecuador)

  • Martin Ortega

    (Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de Cuenca, Cuenca 010107, Ecuador)

  • Marco Romero Solorzano

    (Coordinación de Gestión Académica de Posgrados, Universidad Nacional de Educación (UNAE), Av. Independencia S/N Sector Chuquipata, Azogues 030201, Ecuador)

  • Ruffo Villa Uvidia

    (Facultad de Administración de Empresas (FADE), Escuela Superior Politécnica de Chimborazo (ESPOCH), Carrera de Gestión del Transporte, Panamericana Sur Km 1 1/2 Street, Riobamba 060107, Ecuador)

  • Jairo Ortega

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary)

  • Diego Veloz-Cherrez

    (Facultad de Informática y Electrónica (FIE), Escuela Superior Politécnica de Chimborazo (ESPOCH), Carrera de Tecnologías de la Información, Panamericana Sur Km 1 1/2 Street, Riobamba 060107, Ecuador)

Abstract

The park-and-ride (P&R) system is crucial for urban development and mobility as its strategic location helps to reduce congestion, reduce pollution, and encourage the use of public transport. Various methods have been proposed to determine its optimal location, ranging from algorithms and mathematical equations to multi-criteria approaches that consider a set of criteria and sub-criteria. Multi-criteria methods are diverse, and it is essential to know which methods have been applied to the optimal location of a P&R system. This study addresses the existing gaps in multi-criteria methods used in the localization of a P&R system through a systematic review based on the PRISMA protocol, examining 25 articles published between 2014 and 2024 in Science Direct, Scopus, and Web of Science (WOS). The results highlight that the multi-criteria AHP method is the most relevant and widely used. The criterion of accessibility to public transport is the most important criterion for setting up a P&R system in an urban environment. The flexibility of the multi-criteria AHP method, combined with other factors, makes it relevant in the process of P&R locations. However, the multi-criteria methods found in this research show that a wide range of multi-criteria methods have not yet been applied. Future research should focus on developing comprehensive systems that combine multiple multi-criteria methods, which is essential to optimize mobility solutions adapted to the specific characteristics and objectives of each city in establishing a P&R system.

Suggested Citation

  • Juan Palaguachi & Monserrath Padilla & Martin Ortega & Marco Romero Solorzano & Ruffo Villa Uvidia & Jairo Ortega & Diego Veloz-Cherrez, 2024. "Evaluating the Location of the Park-and-Ride System Using Multi-Criteria Methods: A Systematic Review," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10187-:d:1526226
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    References listed on IDEAS

    as
    1. Aros-Vera, Felipe & Marianov, Vladimir & Mitchell, John E., 2013. "p-Hub approach for the optimal park-and-ride facility location problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 277-285.
    2. Allan Pimenta & Liton (Md) Kamruzzaman, 2024. "What About Land Uses in Mobility Hub Planning for Sustainable Travel Behavior?," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    3. Henriques , Henrique & Almeida, Claudia & Ramos, Célia, 2024. "The application of artificial intelligence in the tourism industry: A systematic literature review based on PRISMA methodology," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 12(1), pages 65-85.
    4. Bibhuti Sharma & Mark Hickman & Neema Nassir, 2019. "Park-and-ride lot choice model using random utility maximization and random regret minimization," Transportation, Springer, vol. 46(1), pages 217-232, February.
    5. Novak, David C. & Koliba, Chris & Zia, Asim & Tucker, Matt, 2015. "Evaluating the outcomes associated with an innovative change in a state-level transportation project prioritization process: A case study of Vermont," Transport Policy, Elsevier, vol. 42(C), pages 130-143.
    6. Clayton, William & Ben-Elia, Eran & Parkhurst, Graham & Ricci, Miriam, 2014. "Where to park? A behavioural comparison of bus Park and Ride and city centre car park usage in Bath, UK," Journal of Transport Geography, Elsevier, vol. 36(C), pages 124-133.
    7. Namdeo, A. & Tiwary, A. & Dziurla, R., 2014. "Spatial planning of public charging points using multi-dimensional analysis of early adopters of electric vehicles for a city region," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 188-200.
    8. Joana Cavadas & António Pais Antunes, 2019. "Optimization-based study of the location of park-and-ride facilities," Transportation Planning and Technology, Taylor & Francis Journals, vol. 42(3), pages 201-226, April.
    9. Bakioglu, Gozde, 2024. "Selection of sustainable transportation strategies for campuses using hybrid decision-making approach under picture fuzzy sets," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    10. Jairo Ortega & Sarbast Moslem & János Tóth & Tamás Péter & Juan Palaguachi & Mario Paguay, 2020. "Using Best Worst Method for Sustainable Park and Ride Facility Location," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    11. Jairo Ortega & Sarbast Moslem & Juan Palaguachi & Martin Ortega & Tiziana Campisi & Vincenza Torrisi, 2021. "An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
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