Iranian Journal of Information Management

A Modelling of Indicators in Database Housing Planning of Iran’s Urban

Document Type : Original Article

Authors

1 PhD Candidate, Knowledge and Information Science, Faculty of Humanities, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Associate Professor, Department of Knowledge and Communication Sciences, Faculty of Humanities, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Associate Professor, Department of Geography and Urban Planning, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran

4 Associate Professor, Faculty of Humanities, Yadegar-e Emam Shahr-e Rey Branch, Islamic Azad University Iran

10.22034/aimj.2021.131422

Abstract

This study was conducted with the aim of designing a model for indicators data in the Iran Urban Housing Planning Database. The present research is applied in terms of purpose and in terms of the nature of the method, a combination of qualitative methods with Delphi and quantitative approach and analytical survey. First, from the meta-combination method and the study of previous researches, the indicators and categories were identified and confirmed with two periods of Delphi implementation. The quantitative part was implemented in a community of 167 housing experts and managers. The research tool was a checklist in the meta-composition section and a questionnaire in the Delphi and quantitative sections. In order to quantitatively analyze the descriptive and inferential statistics, SPSS software was used and to test the theoretical model, the structural equation modeling method with confirmatory factor analysis was used in Amos software. In this research, the factors affecting housing planning and their related categories are presented. If the factor of housing and infrastructure with 7 categories, the factor of housing economy with 10 categories, the factor of supportive housing with two categories and land were classified. Finally, the conceptual model of the research indicates that the data of the identified indicators are of great importance in housing planning. Based on the results, the effect of each variable on housing planning was confirmed; among these, the most influential variable was housing economics and the least influential was supportive housing. By creating a database or systematic systems based on the model provided for urban housing planning in Iran, while understanding the current housing situation, it is possible to use it to better policy in relation to housing planning.

Keywords

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Iranian Journal of Information Management
Volume 6, Issue 2 - Serial Number 11
February 2021
Pages 25-46
  • Receive Date: 17 December 2020
  • Revise Date: 02 February 2021
  • Accept Date: 26 April 2021