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<p>This paper proposes a methodology for ranking cities and prioritizing the criteria that influence these rankings within a multi-criteria decision-making (MCDM) framework. A composite Data Envelopment Analysis (DEA) model is developed to generate a fully ranked list of cities, ensuring robustness through data-driven and non-arbitrary weight assignments. Additionally, fixed-effects and random-effects models are employed to identify the criteria significantly impacting city rankings over time. The performance of these models is compared using the Hausman, Dickey-Fuller, and Breusch-Pagan tests. By analyzing large U.S. cities at five-year intervals from 2000 to 2020, this study determines city rankings and evaluates the influence of various quality-of-life criteria. The results show that cost of living, education, and income have the most substantial impacts on city rankings. These insights offer valuable guidance for policymakers aiming to improve urban socio-economic and environmental attributes. Furthermore, they provide businesses with critical information for strategic planning, market analysis, human resource management, and sustainable development.</p>

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A data envelopment analysis-based methodology for ranking cities and prioritizing urban criteria

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Jin Fang,
  • Yasamin Salmani,
  • Fariborz Y. Partovi

摘要

This paper proposes a methodology for ranking cities and prioritizing the criteria that influence these rankings within a multi-criteria decision-making (MCDM) framework. A composite Data Envelopment Analysis (DEA) model is developed to generate a fully ranked list of cities, ensuring robustness through data-driven and non-arbitrary weight assignments. Additionally, fixed-effects and random-effects models are employed to identify the criteria significantly impacting city rankings over time. The performance of these models is compared using the Hausman, Dickey-Fuller, and Breusch-Pagan tests. By analyzing large U.S. cities at five-year intervals from 2000 to 2020, this study determines city rankings and evaluates the influence of various quality-of-life criteria. The results show that cost of living, education, and income have the most substantial impacts on city rankings. These insights offer valuable guidance for policymakers aiming to improve urban socio-economic and environmental attributes. Furthermore, they provide businesses with critical information for strategic planning, market analysis, human resource management, and sustainable development.