Necessity of adopting neighborhood-oriented participatory planning approach in revitalizing worn-out urban tissues using factor analysis method (Study example: Sartpoule neighborhood, Sanandaj)

Subject Areas : Geography

saman salavati ¹ , ali alavi ² , khatereh ramazanipoor ³

1 - ph.d student of Tarbiat Modares
2 - Faculty member of Tarbiat Modares University
3 - ph.d student of Tarbiat Modares

Received: 2022-09-05 Accepted : 2022-12-16 Published : 2023-01-15

Keywords: Sartpole, participatory planning, dilapidated fabric, Sanandaj, factor analysis, neighborhood,

Abstract :

Urban managers have always tried to achieve their goals in order to achieve urban development and management by attracting people's participation at the neighborhood level. Participation of citizens at the neighborhood level is one of the important principles of stability and democracy in urban societies. Considering the importance of participation in neighborhood development and urban management, the aim of this research is to adopt a neighborhood-oriented participatory planning approach in the revitalization of worn-out urban tissues and to identify the most important criteria that have the greatest effect on neighborhood-oriented participation in the revival of worn-out tissues. The current research method is descriptive-analytical and practical in terms of purpose. Sampling was purposeful and out of 308 households in the neighborhood, 50 heads of households were selected for questioning using Cochran's formula with a confidence level of 93%. The results were analyzed through SPSS software, including path analysis tests and factor analysis tests. The results of the analysis showed that the indicators related to social dimensions; Economic and management have had the greatest impact on worn-out tissues of Sartpoule neighborhood of Sanandaj city with weighted average (4.45, 3.739, 5.112). Also, through path analysis, the factors that have a direct and indirect effect on the improvement of the quality of the worn tissues of the target area were identified.

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