Investigating the supply of urban housing in the form of neighborhood-based planning(Case study: Arak city)

Subject Areas : Urban Management Studies

mohammad najafi ¹ , abas malekhoseini ² , Majid Shams ³

1 - geography and urban planing of malayer islamic azad university
2 - استاد گروه جغرافیا و برنامه ریزی شهری، دانشگاه آزاد اسلامی، واحد ملایر، ایران. [e-mail]
3 - Department of Geography and Urban Planning, Islamic Azad University

Received: 2023-10-24 Accepted : 2023-11-23 Published : 2024-03-20

Keywords: Housing, Neighborhood, neighborhood-oriented, Factor analysis, Arak,

Abstract :

Providing housing in the form of neighborhood-oriented, citizen-oriented, law-oriented planning is more important than ever before. On a macro scale, the planning and management of micro-urban units will have better and more tangible and far more presentable and understandable results in improving the quality of life of the citizens of Arak. The aim of the research was to investigate the supply of urban housing in the form of neighborhood-oriented planning in Arak city. The research method is descriptive-analytical and the data is collected by documentary and field method (questionnaire). The statistical population of the research was 384 citizens and 10 specialists, urban affairs experts and university professors related to the subject, who were selected by simple random sampling. In order to determine the validity, the questionnaire was given to professors and experts, and some items were modified with their opinion and its content validity was confirmed. The reliability of the research tool (questionnaire) was evaluated with SPSS software and the Cronbach's alpha test was equal to 0.896. This value is suitable for research tools. Data analysis was done using the factor analysis process. Based on the method of analysis, physical-infrastructural dimensions with coefficient, transportation system, safe housing, environmental, management, local community, identification and location and access respectively, (28/95), (6/16), (7.34), (5.29), (6.83), (6.83), (5.14) and (5.93) percent of the variance explained.