Investigating key indicators and components affecting the planning of the National Housing Plan

Abstract

Aims: Given the importance of housing in sustainable urban development and the improvement of citizens' quality of life, the present study investigates the key indicators and components of design in Iran’s National Housing Plan.

Methodology: The research followed a three-stage approach. First, key housing planning components were identified through a document review of scientific sources, official reports, and international case studies. Six major indicators encompassing 30 components were recognized. The validity of these indicators was assessed using the Delphi method through two rounds with a panel of 30 experts. After confirming the components, a 30-item Likert-scale questionnaire was developed. The validity of the questionnaire was verified through expert judgment, Confirmatory Factor Analysis (CFA), and AVE and CR indices. Reliability was measured using the test-retest method (correlation coefficient: 0.85) and Cronbach’s alpha (0.89). The statistical population included housing applicants, citizens, and researchers. The sample size was determined as 100 using Cochran’s formula. Finally, the data were weighted using the entropy method.

Findings: According to the results of the entropy model, economic indicators received the highest weight (0.177), followed by environmental components and building and architectural standards, each with a weight of 0.169. The lowest final weight was assigned to “design guidelines” (0.148), indicating its relatively lower influence in the overall assessment.

Conclusion: Based on the findings, the most important key indicators in the programming of Iran’s National Housing Plan were categorized into five main groups: architectural and building standards, managerial indicators, social indicators, economic components, and environmental aspects.