Document Type : *
Authors
1 Assistant Professor, Department of Urban Geography, Payame Noor University
2 فردوسی مشهد
3 Assistant Professor of Political Geography and Geopolitics, Imam Hussein University
4 ferdowsi
Abstract
Today, the transition from a centralized and hierarchical urban government to a desirable, decentralized and democratic governance is inevitable. Therefore, using the good governance approach in the light of new planning perspectives and appropriate to the cultural, political and economic context of different urban areas of Iran is considered an undeniable necessity. Therefore, the aim of the current research is to identify the key driving forces affecting good urban governance in Kashmir city with new approaches such as uncertainty and driving science. The data and information of this research were collected by two library and survey methods, and in the survey method, the questionnaire tool and Mic Mac and Scenario Wizard software templates were used, the validity and reliability of which were confirmed by the experts. The opinion and research elites were placed in this field. Therefore, considering the wideness of the target population and the need to select a comprehensive and pluralistic sample using the snowball model, 30 people from the available scientific elites, 15 people from regional and executive managers and 15 from urban experts in Kashmir, for analysis. were introduced and interviewed. Based on the obtained results, the saturation coefficient for the variables with two repetitions of data rotation (high reliability) shows the number 98.8%, which indicates a high coefficient of influence and a high factor load in the selected variables and factors. Is. Based on the value values calculated in the initial cross-effects matrix from the elites, 963 cases with the largest statistical volume had a high impact value. Also, 852 cases with medium impact, 114 cases with low impact and 325 cases with no impact were calculated, this is if the value of P (potential direct impact) was equal to 14.
Keywords
Main Subjects
Send comment about this article