Environmental Researches

Environmental Researches

Application of the Citizen Participation Optimization Model in the Public Policy-Making Process (Case Study: Tehran Development Green Space)

Document Type : Original Article

Authors
1 Department of Public Administration, Ki.C, Islamic Azad University, Kish, Iran.
2 Department of Public Administration, CT.C, Islamic Azad University, Tehran, Iran.
10.22034/eiap.2025.237719
Abstract
Abstract The aim of the present study was to design and apply the citizen participation optimization model in the public policy-making process with the aim of developing the green space of the Tehran Metropolitan Area. The present study is applied in terms of purpose, exploratory in terms of data collection method, and qualitative and quantitative (mixed) in terms of data nature. The data collection method in the qualitative part was interviews, and the analysis method was the Grand Theory technique in the Max.QDA2018 software environment. In the quantitative part, the data were analyzed using exploratory and confirmatory factor analysis methods with SPSS and AMOS software. The statistical population in the qualitative part included academic elites from management disciplines and green space managers of Tehran Municipality, who were interviewed in depth using the snowball method until theoretical saturation was reached with 25 experts. In the quantitative part, the statistical population included official and contractual employees of the municipality and green space of Tehran Municipality. To measure the model, a researcher-made questionnaire was distributed among 285 samples using the relative cluster sampling method. The reliability of the questionnaire was obtained as 0.78 using the Cronbach's alpha method. The results of the qualitative section showed that the model for optimizing citizen participation in the public policy-making process with the aim of developing green space in the Tehran metropolis had 15 dimensions, as follows: causal conditions (1. Responsibility and commitment, 2. Continuous interactions, 3. Education and learning), background conditions (4. Development of a green tax package, 5. Culture building, 6. Managers' attitude and awareness), intervention conditions (7. Green strategy, 8. Modern facilities and equipment, 9. Technology and technical operations), strategy (10. Medium-term and long-term municipal policies, 11. Continuous monitoring and evaluation, 12. Citizen consumption management programs, 13. Urban pollutant management programs), and outcome (14. Development of urban green space, and 15. Reduction of urban pollution). The results of the quantitative section showed that all dimensions of the research model were confirmed.
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