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An Integrated Multi Criteria Decision Making Model for Evaluating Park-and-Ride Facility Location Issue: A Case Study for Cuenca City in Ecuador

Author

Listed:
  • 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)

  • Sarbast Moslem

    (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)

  • 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)

  • Martin Ortega

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

  • Tiziana Campisi

    (Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy)

  • Vincenza Torrisi

    (DICAR, Department of Civil Engineering and Architecture, University of Catania, Via S. Sofia 64, 95125 Catania, Italy)

Abstract

A park-and-ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to continue their journey. The main advantage of the system is decreasing the congestion in the central business district. This paper aims to analyze the most significant factors related to a Park-and-Ride facility location by adopting a combined model of Analytic Hierarchy Process (AHP) and Best Worst Method (BWM). The integrated model is applicable for complex problems, which can be structured as a hierarchy with at least one 5 × 5 pairwise comparison matrix (PCM) (or bigger). Applying AHP for at least 5 × 5 PCM may generate inconsistent matrices, which may cause a loss of reliable information. As a solution for this gap, we conducted BWM, which generates more consistent comparisons compared to the AHP approach. Moreover, the model requires fewer comparisons compared to the classic AHP approach. That is the main reason of adopting the AHP-BWM model to evaluate Park-and-Ride facility location factors for a designed two-level hierarchical structure. As a case study, a real-world complex decision-making process was selected to evaluate the Park-and-Ride facility location problem in Cuenca city, Ecuador. The result shows that the application of multi-criteria methods becomes a planning tool for experts when designing a P&R system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7461-:d:588306
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    References listed on IDEAS

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    2. Yangbeibei Ji & Xueqing Lu & Hanwan Jiang & Xinyang Zhu & Jiao Wang, 2022. "Layout Optimization for Shared Parking Spaces Considering Shared Parking Walking Time and Parking Fee," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    3. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    4. Anna Lower & Agnieszka Szumilas, 2021. "Parking Policy as a Tool of Sustainable Mobility-Parking Standards in Poland vs. European Experiences," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    5. Ualison Rébula De Oliveira & Hilda Anatiely Donato Souza & Carlos Augusto Gabriel Menezes & Henrique Martins Rocha, 2023. "Straightening machine preventive maintenance intervention plan based on AHP: a case study in a steel company in Brazil," Operations Management Research, Springer, vol. 16(3), pages 1577-1593, September.
    6. Diogo Rodrigues & Radu Godina & Pedro Espadinha da Cruz, 2021. "Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry," Sustainability, MDPI, vol. 13(24), pages 1-20, December.

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