Evaluation of the factors affecting good urban governance (Case study: Ardabil city)

Document Type : Origional Article

Authors

1 Professor of Department of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil Iran.

2 3- Professor of Department of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil Iran.

Abstract
Urban management must respond to the trends of change in the city and its citizens. In such a way that its strategic actions are commensurate with urban issues and its developments. In this regard, what has always been neglected in the process of urban management in the country is the discussion of desirable urban governance. Accordingly, the study examines the components affecting desirable urban governance. The present study is applied in terms of its purpose and descriptive-analytical in terms of its method, which is classified as a dependency study. The statistical population of the study is the citizens of Ardabil city. The sample size was estimated using the Cochran formula at 384 people. The data collection tool is based on two library and survey methods (questionnaire). In this regard, the questionnaire was distributed and completed among the citizens using a simple random sampling method. In order to evaluate the impact of each of the variables affecting desirable urban governance, 6 components (participation, legality, accountability and responsibility, justice-centeredness, collective agreement, transparency) were used. LISREL and SPSS software were also used to analyze the data. The results of the one-sample T-test showed that all the components under study are among the factors affecting desirable urban governance because the test results of all variables were positive and scored more than the median (3). The significance level of the variables was also observed to be less than 0.05, so the research hypothesis was confirmed at a level of 95%. Considering that all the components under study had a factor load of more than 0.4, the results of the path coefficient (β) indicate positive relationships between the research variables. Also, the value of the RMSEA index coefficient was equal to (0.72) and the chi-square coefficient was obtained (42.39), so it can be claimed that the research model shows good and desirable fit.

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Articles in Press, Accepted Manuscript
Available Online from 22 November 2025

  • Receive Date 11 April 2025
  • Revise Date 04 June 2025
  • Accept Date 06 July 2025
  • First Publish Date 06 July 2025
  • Publish Date 22 November 2025