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Towards Sustainable Urban Futures: Integrating a Novel Grey Multi-Criteria Decision Making Model for Optimal Pedestrian Walkway Site Selection

Author

Listed:
  • Pedro Reyes-Norambuena

    (School of Engineering, Universidad Católica del Norte, Coquimbo 1781421, Chile)

  • Javier Martinez-Torres

    (Department of Applied Mathematics, University of Vigo, 36310 Vigo, Spain)

  • Alireza Nemati

    (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran 1591634311, Iran)

  • Sarfaraz Hashemkhani Zolfani

    (School of Engineering, Universidad Católica del Norte, Coquimbo 1781421, Chile)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania)

Abstract

Today, urban development faces complex global challenges that require new approaches to influence its practices and policies. By prioritizing sustainability, mobility, and community resilience, we are moving towards a holistic approach that protects the well-being of residents and the environment. In this dynamic urban design environment, finding ways to identify pedestrian-friendly spaces and create safe, efficient, and sustainable urban environments is a major challenge, and it requires research that seeks to optimize this choice, especially in terms of integrating numerical modeling methods and a wide range of measurement tasks. This research is concerned with optimizing pedestrian accessibility, which directly contributes to reducing environmental impact, improving non-motorized transport, and reducing traffic congestion. It integrates a novel, mixed multi-criteria decision-making (MCDM) model that benefits from the use of Grey’s theory. This research’s purpose goes beyond addressing cities’ immediate challenges; it seeks to contribute to a broader understanding of sustainable urban planning. This study represents a pioneering effort to identify the challenges of optimal site selection for pedestrian walkways. By using a multi-criteria decision-making approach based on mathematical modelling and facility engineering, this effort addresses gaps in the current understanding of site selection criteria and aims to lead a paradigm shift toward a sustainable, efficient, and inclusive urban environment. The results show that the updated RANCOM-PIV greyscale is quite robust and reliable, when comparing the final results of the PIV greyscale and the MARCOS greyscale.

Suggested Citation

  • Pedro Reyes-Norambuena & Javier Martinez-Torres & Alireza Nemati & Sarfaraz Hashemkhani Zolfani & Jurgita Antucheviciene, 2024. "Towards Sustainable Urban Futures: Integrating a Novel Grey Multi-Criteria Decision Making Model for Optimal Pedestrian Walkway Site Selection," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4437-:d:1400598
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    References listed on IDEAS

    as
    1. Samia Sharmin & Md. Kamruzzaman, 2018. "Meta-analysis of the relationships between space syntax measures and pedestrian movement," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 524-550, July.
    2. Aytekin, Ahmet & Korucuk, Selçuk & Görçün, Ömer Faruk, 2024. "Determining the factors affecting transportation demand management and selecting the best strategy: A case study," Transport Policy, Elsevier, vol. 146(C), pages 150-166.
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    4. Biljana Ivanović & Jelena Mitrović Simić & Vuk Bogdanović & Valentina Mirović & Dillip Kumar Das & Vladimir Jakovljevic & Darko Božanić, 2022. "A Novel Integrated Model under Fuzzy Environments as Support for Determining the Behavior of Pedestrians at Unsignalized Pedestrian Crossings," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-28, May.
    5. Ecer, Fatih & Küçükönder, Hande & Kayapınar Kaya, Sema & Faruk Görçün, Ömer, 2023. "Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
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