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Enhancing urban quality of life evaluation using spatial multi criteria analysis
Alireza Zhalehdoost1, Mohammad Taleai2,3
1GIS Department, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, P.O.Box 16315-1355, Tehran, Iran.
Scientific Reports
|July 2, 2025
Summary
This study introduces a new method to assess urban equity and quality of life by combining spatial analysis and decision-making tools. Key factors influencing well-being include access to education, green spaces, and air quality.
Area of Science:
- Urban Planning and Environmental Science
- Spatial Analysis and Multi-Criteria Decision-Making (MCDM)
Background:
- Quality of Life (QoL) in urban settings is multifaceted, influenced by accessibility and environmental conditions.
- Assessing urban equity requires integrated approaches to understand well-being determinants.
- Previous studies often lack a comprehensive framework for evaluating environmental and accessibility factors simultaneously.
Purpose of the Study:
- To develop and apply an innovative approach for promoting urban equity using spatial analysis and MCDM.
- To assess the impact of accessibility to urban facilities and environmental health on Quality of Life.
- To evaluate urban livability in Tehran, Iran, using a novel integrated methodology.
Main Methods:
- Data fusion techniques were used to create criteria maps for air pollution and urban heat islands.
- Factor analysis, Principal Component Analysis (PCA), and entropy were employed for environmental equity assessment.
- Analytic Hierarchy Process (AHP) and Best-Worst Method (BWM) collected expert opinions, refined by Dempster-Shafer theory for criterion weighting.
Main Results:
- Access to educational facilities (weight: 0.189) and green spaces (weight: 0.149) were found to be significant factors in urban equity.
- Air pollution was identified as a critical environmental factor impacting urban equity (weight: 0.152).
- The integrated approach provided a comprehensive assessment of urban livability in the case study area.
Conclusions:
- The proposed integrated spatial analysis and MCDM approach effectively assesses urban equity and livability.
- Accessibility to essential services and environmental quality are crucial determinants of Quality of Life in cities.
- Findings provide valuable insights for urban planning and policy-making to enhance urban equity, particularly in Tehran.
Keywords:
Analytic hierarchy processBest–Worst methodDempster–Shafer theoryPrincipal component analysisUrban quality of lifeMore Related Videos
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