IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i22p16084-d1283014.html
   My bibliography  Save this article

Highway Transportation, Health, and Social Equity: A Delphi-ANP Approach to Sustainable Transport Planning

Author

Listed:
  • Raghad Almashhour

    (Department of Industrial Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Mohamed AlQahtani

    (Department of Industrial Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Malick Ndiaye

    (Department of Industrial Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

Abstract

It has become standard practice for governments and transportation engineers around the world to infuse sustainability principles into their plans as higher-level goals and priorities, with indicators to reflect the same. The transformation towards sustainable mobility should involve the three interconnected pillars of sustainable development: environment, social equity, and economy. These pillars, known in the business field as the ‘triple-bottom-line’, require specific indicators that can be used to measure the attainment of each pillar. There is evidence that the social equity impacts of construction projects, such as transport projects, and their distributional effects across various segments of society have traditionally been viewed as secondary or subsidiary concerns relative to their economic and environmental impacts. Recognizing the relative relegation in both academic and policy circles of social impacts and the ‘weak’ tools to identify such impacts, this research aims to employ a hybrid decision method based on the analytic network process and Delphi method to identify the major adverse impacts of highway automobiles on health and social equity in the UAE. In doing so, governments will be better positioned to mitigate adverse impacts through engineering, urban planning, technological, and other appropriate initiatives. Throughout the Delphi process, 15 health and social equity indicators have been validated by experts in the field of sustainability and transportation through an iterative process. Then, experts in the same field were chosen to develop and validate the ANP model based on the validated indicators through pairwise comparison questionnaires. The results and findings revealed that the experts’ judgment preferences are consistent (inconsistency value less than 0.1), wherein the highest priority is the ‘Safety’ indicator, and the lowest priority is the ‘Public participation in transport decision’ indicator.

Suggested Citation

  • Raghad Almashhour & Mohamed AlQahtani & Malick Ndiaye, 2023. "Highway Transportation, Health, and Social Equity: A Delphi-ANP Approach to Sustainable Transport Planning," Sustainability, MDPI, vol. 15(22), pages 1-38, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16084-:d:1283014
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/22/16084/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/22/16084/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ullah, Kafait & Hamid, Salman & Mirza, Faisal Mehmood & Shakoor, Usman, 2018. "Prioritizing the gaseous alternatives for the road transport sector of Pakistan: A multi criteria decision making analysis," Energy, Elsevier, vol. 165(PB), pages 1072-1084.
    2. Todd Litman & David Burwell, 2006. "Issues in sustainable transportation," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 6(4), pages 331-347.
    3. Moataz Mahmoud & Julian Hine, 2013. "Using AHP to measure the perception gap between current and potential users of bus services," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(1), pages 4-23, February.
    4. Michelle Del Rio & William L. Hargrove & Joe Tomaka & Marcelo Korc, 2017. "Transportation Matters: A Health Impact Assessment in Rural New Mexico," IJERPH, MDPI, vol. 14(6), pages 1-19, June.
    5. Tob-Ogu, Abiye & Kumar, Niraj & Cullen, John, 2018. "ICT adoption in road freight transport in Nigeria – A case study of the petroleum downstream sector," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 240-252.
    6. Barfod, Michael Bruhn & Salling, Kim Bang, 2015. "A new composite decision support framework for strategic and sustainable transport appraisals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 72(C), pages 1-15.
    7. Pradeep Chaitanya Jasti & V. Vinayaka Ram, 2019. "Sustainable benchmarking of a public transport system using analytic hierarchy process and fuzzy logic: a case study of Hyderabad, India," Public Transport, Springer, vol. 11(3), pages 457-485, October.
    8. Liang, Hanwei & Ren, Jingzheng & Lin, Ruojue & Liu, Yue, 2019. "Alternative-fuel based vehicles for sustainable transportation: A fuzzy group decision supporting framework for sustainability prioritization," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 33-43.
    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. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.
    2. Indre Siksnelyte-Butkiene & Dalia Streimikiene, 2022. "Sustainable Development of Road Transport in the EU: Multi-Criteria Analysis of Countries’ Achievements," Energies, MDPI, vol. 15(21), pages 1-25, November.
    3. Ecer, Fatih, 2021. "A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    4. Lisa Kraus & Heike Proff, 2021. "Sustainable Urban Transportation Criteria and Measurement—A Systematic Literature Review," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    5. Meng Li & Guowei Hua & Haijun Huang, 2018. "A Multi-Modal Route Choice Model with Ridesharing and Public Transit," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    6. Guimarães, Vanessa de Almeida & Leal Junior, Ilton Curty & da Silva, Marcelino Aurélio Vieira, 2018. "Evaluating the sustainability of urban passenger transportation by Monte Carlo simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 732-752.
    7. Lu Xiao & Feiyue Yang & Yong Yang & Che Chen & Wuer Ha, 2024. "A Sustainable Production Planning Scheme for New Energy Vehicles in China," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
    8. Abbate, Stefano & Centobelli, Piera & Cerchione, Roberto, 2023. "From Fast to Slow: An Exploratory Analysis of Circular Business Models in the Italian Apparel Industry," International Journal of Production Economics, Elsevier, vol. 260(C).
    9. Bhardwaj, Chandan & Axsen, Jonn & Kern, Florian & McCollum, David, 2020. "Why have multiple climate policies for light-duty vehicles? Policy mix rationales, interactions and research gaps," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 309-326.
    10. Chaoren Lu, 2014. "The role of sustainability policy in influencing service innovation. a case study of Changzhou BRT system," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2014(3), pages 167-168.
    11. Bayissa Badada Badassa & Baiqing Sun & Lixin Qiao, 2020. "Sustainable Transport Infrastructure and Economic Returns: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 12(5), pages 1-24, March.
    12. Meng, Zhiyi & Li, Eldon Y. & Qiu, Rui, 2020. "Environmental sustainability with free-floating carsharing services: An on-demand refueling recommendation system for Car2go in Seattle," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    13. José Renato Barandier & Milena Bodmer & Izabella Lentino, 2017. "Evidence of the impacts of the national housing programme on the accessibility of the low‐income population in Rio de Janeiro," Natural Resources Forum, Blackwell Publishing, vol. 41(2), pages 105-118, May.
    14. Hamid Mostofi & Houshmand Masoumi & Hans-Liudger Dienel, 2020. "The Association between the Regular Use of ICT Based Mobility Services and the Bicycle Mode Choice in Tehran and Cairo," IJERPH, MDPI, vol. 17(23), pages 1-19, November.
    15. Thibault Isambourg, 2024. "School commuting, carbon footprint and sociospatial implications: evidence from French pupils [Mobilité scolaire quotidienne, empreinte carbone et enjeux sociospatiaux : le cas des collégiens giron," Post-Print halshs-04145598, HAL.
    16. Sunday C. Eze & Vera C. A. Chinedu-Eze & Hart O. Awa, 2021. "Key Success Factors (KSFs) Underlying the Adoption of Social Media Marketing Technology," SAGE Open, , vol. 11(2), pages 21582440211, April.
    17. Vaz, Eric & Aversa, Joseph, 2013. "A Graph Theory Approach for Geovisualization of Anthropogenic Land Use Change: An Application to Lisbon," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 1(4), pages 254-264.
    18. Sebastian Twaróg & Krzysztof Szwarc & Martyna Wronka-Pośpiech & Małgorzata Dobrowolska & Anna Urbanek, 2021. "Multiple probabilistic traveling salesman problem in the coordination of drug transportation—In the context of sustainability goals and Industry 4.0," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-19, March.
    19. Feitelson, Eran & Cohen-Blankshtain, Galit, 2018. "Public transport planning in a spatially segmented city: The case of Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 65-74.
    20. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.

    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:22:p:16084-:d:1283014. 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.