<p>This study presents a novel approach to measuring the sustainability of microscale public transport in Jordan. Shattering the challenges of urbanization, resource scarcity, and environmental problems, the model incorporates fuzzy logic to address uncertainty during decision-making. The mixed-methods research approach employed included a literature review, the Delphi technique, Structural Equation Modelling (SEM), the Fuzzy Analytic Hierarchy Process (FAHP), and expert interviews. These were initially obtained through a Delphi process aimed at getting expert consensus on 32 sustainability indicators that constitute the Jordanian Transport Sustainability System (JTSS). SEM was applied to establish the reliability and validity of the questionnaire that had been developed, thus assuring the quality of expert judgments utilized in the FAHP model. FAHP was employed to yield weighted judgments and then cross-checked by outside experts to yield the practical applicability and policy utility of the model. The indicators were categorized under 12 thematic areas, and the results showed social sustainability (0.390) as more significant compared to environmental (0.337) and economic (0.273) factors. Ease of access, mobility, and security were found to be high-order drivers. The proposed system offers a coordinated, evidence-based tool for policymakers to assess and enhance microscale transport sustainability toward promoting integrated, just, and sustainable urban mobility options in Jordan and similar contexts.</p>

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An assessment-support model for measuring microscale public transport sustainability in Jordan: application of fuzzy AHP

  • Moawiah Alnsour

摘要

This study presents a novel approach to measuring the sustainability of microscale public transport in Jordan. Shattering the challenges of urbanization, resource scarcity, and environmental problems, the model incorporates fuzzy logic to address uncertainty during decision-making. The mixed-methods research approach employed included a literature review, the Delphi technique, Structural Equation Modelling (SEM), the Fuzzy Analytic Hierarchy Process (FAHP), and expert interviews. These were initially obtained through a Delphi process aimed at getting expert consensus on 32 sustainability indicators that constitute the Jordanian Transport Sustainability System (JTSS). SEM was applied to establish the reliability and validity of the questionnaire that had been developed, thus assuring the quality of expert judgments utilized in the FAHP model. FAHP was employed to yield weighted judgments and then cross-checked by outside experts to yield the practical applicability and policy utility of the model. The indicators were categorized under 12 thematic areas, and the results showed social sustainability (0.390) as more significant compared to environmental (0.337) and economic (0.273) factors. Ease of access, mobility, and security were found to be high-order drivers. The proposed system offers a coordinated, evidence-based tool for policymakers to assess and enhance microscale transport sustainability toward promoting integrated, just, and sustainable urban mobility options in Jordan and similar contexts.