عنوان مقاله [English]
Identifying and Analyzing the Key Influencing in urban land policies of Iran by MENTAl and MACTOR models
Urban land policy is one of the most important areas of public policy making. And in some countries, such as Iran, urban land policies and land management positions have been more or less neglected, and this has necessitated a shift in attitudes toward urban land and urban land policies in Iran. The purpose of this study was applied in terms of purpose and in terms of descriptive-analytical data collection. The purpose of this study was to identify and analyze the factors influencing Iran's urban land policies; 15 indicators were used. Which have been evaluated using model Mental software (effectiveness, effectiveness and centrality), The role of 10 key players in urban land policy in the Mactor software environment has also been analyzed. It should be noted that the relationship between indicators and actors has been measured by experts in urban affairs by sampling snowballs of 15 people.
The results show that, among the 15 indices studied, 5 are identified as key factors, Accordingly, five objectives (reduction of working parallel between executive agencies, access to urban land information, compatibility of projects with Iranian conditions, public-private partnerships, and improved executive power of policy-making bodies) have been elaborated in line with urban land policies in Iran. Also, the results of the evaluation of the actors showed the greatest competitiveness, convergence for the legislative bodies, the Ministry of Interior, Roads and Urban Development and public institutions, Which subsequently had the largest share in public mobilization. Finally, most of the stakeholders' agreement on urban land policies has been on the idea of reducing parallelism, improving the executive power of institutions, and improving access to information by institutions in urban land policies.
Keywords: Urban Land Policy, Land Management, MENTAL MODEL, MACTOR, Iran