Mapping Urban Environmental Quality in Isfahan: A Scenario-Driven Framework for Decision Support

Zahra Taheri, Majid Javid, Saeideh Esmaili, Amir Sedighi, Mohammad Karimi Firozjaei () and Dagmar Haase
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Zahra Taheri: College of Management, University of Tehran, Tehran 1411713114, Iran
Majid Javid: College of Management, University of Tehran, Tehran 1411713114, Iran
Saeideh Esmaili: College of Management, University of Tehran, Tehran 1411713114, Iran
Amir Sedighi: Department of Remote Sensing and GIS, University of Tehran, Tehran 1417853933, Iran
Mohammad Karimi Firozjaei: College of Management, University of Tehran, Tehran 1411713114, Iran
Dagmar Haase: Institute of Geography, Humboldt Universität zu Berlin, Rudower Chaussee 16, 12489 Berlin, Germany

Land, 2025, vol. 14, issue 11, 1-34

Abstract: Urban managers and decision-makers may approach Urban Environmental Quality (UEQ) assessment with perspectives that range from highly pessimistic to highly optimistic scenarios. The objective of this study was to introduce a scenario-driven spatial decision support system framework for optimizing UEQ zoning. The proposed framework includes six steps: (1) building a geodatabase of criteria, (2) standardizing criteria using minimum and maximum methods, (3) determining criteria weights using the Analytic Hierarchy Process (AHP) method, (4) combining criteria and creating scenarios using the OWA method, (5) analyzing UEQ maps with statistical analyses, and (6) examining variability through histogram analysis of UEQ values across scenarios. The results indicate that, among environmental and infrastructural criteria, air pollution and population density had the most significant impact on UEQ zoning in Isfahan city. In the five decision-making scenarios (highly pessimistic, pessimistic, neutral, optimistic, and highly optimistic), 8% (19), 12% (15), 16% (12), 21% (8), and 25% (5) of Isfahan’s area were classified as poor, respectively. Additionally, the percentage of the population in poor classes across the scenarios was 5% (14), 10% (11), 13% (7), 17% (5), and 20% (3), respectively. The findings demonstrate that the proposed framework offers high flexibility and capability for assessing UEQ across different decision-making scenarios.

Keywords: urban environmental quality; sustainable urban planning; spatial zoning; multi-criteria decision-making system; ordered weighted averaging; decision-making scenarios; variability analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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