Persian
Language
Geographical Research is Published in Persian Fulltext.
Article Type:
Original Research
Subject:
History
Received: 2024/11/21
Accepted: 2024/12/13
Accepted: 2024/12/13
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors
Mirmahdi Mahdavi Heris1
Majid Vali Shariatpanahi *2
Tahmineh Daniali1
Simin Armaghan1
Ali Sistanipour1
Majid Vali Shariatpanahi *2
Tahmineh Daniali1
Simin Armaghan1
Ali Sistanipour1
1- Department of Geography, Yadegar-e-eImam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University
2- Department of Geography, Yadegar-e-eImam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University ,m.shareeatpanahi@iausr.ir
2- Department of Geography, Yadegar-e-eImam Khomeini (RAH), Shahre Rey Branch, Islamic Azad University ,
Abstract (323 Views)
Aims: In rural communities, housing is directly influenced by various factors such as climatic conditions, available natural resources, livelihood patterns, local beliefs and traditions, and rural development policies. This study aimed to examine the economic factors affecting physical changes in housing in the rural areas of Tehran.
Methodology: This descriptive-analytical study was conducted in 2024 in the rural areas of Roodbar-Ghasran County. Using the cluster sampling method, Rudbar Qasran rural district was selected, and then 7 villages including Niknam Deh, Abnik, Aminabad, Igel, Garmabdar, Bagh-e Gol, Roodak, Klogan, and Bayer were chosen for the study. A total of 318 individuals were selected using simple random sampling. Indicators related to the research background were selected, and a questionnaire was designed accordingly. After ensuring the validity and reliability of the measurement tool, the questionnaires were distributed among the statistical population. Data were analyzed using Pearson correlation test. The villages were ranked based on the results using the VIKOR model.
Findings: The women's employment indicator, with a variable coefficient of 0.417, a correlation coefficient of 0.672, and a test statistic of 63.63, showed a significant impact on housing changes. Moreover, the development of infrastructure and rural services indicator, with a correlation coefficient of 0.668 and a test statistic of 70.71, demonstrated a very strong and significant impact on housing structure. Indicators such as receiving credit and productive activities also showed stronger effects, with higher correlation coefficients and lower significance levels. The ranking of the villages based on the factors influencing physical structure changes indicated that Zayegan village ranked first, while another village ranked eighth.
Conclusion: Economic factors, infrastructure development, rural services, and government policies have had the most significant impact on changes in the physical structure of rural housing.
Methodology: This descriptive-analytical study was conducted in 2024 in the rural areas of Roodbar-Ghasran County. Using the cluster sampling method, Rudbar Qasran rural district was selected, and then 7 villages including Niknam Deh, Abnik, Aminabad, Igel, Garmabdar, Bagh-e Gol, Roodak, Klogan, and Bayer were chosen for the study. A total of 318 individuals were selected using simple random sampling. Indicators related to the research background were selected, and a questionnaire was designed accordingly. After ensuring the validity and reliability of the measurement tool, the questionnaires were distributed among the statistical population. Data were analyzed using Pearson correlation test. The villages were ranked based on the results using the VIKOR model.
Findings: The women's employment indicator, with a variable coefficient of 0.417, a correlation coefficient of 0.672, and a test statistic of 63.63, showed a significant impact on housing changes. Moreover, the development of infrastructure and rural services indicator, with a correlation coefficient of 0.668 and a test statistic of 70.71, demonstrated a very strong and significant impact on housing structure. Indicators such as receiving credit and productive activities also showed stronger effects, with higher correlation coefficients and lower significance levels. The ranking of the villages based on the factors influencing physical structure changes indicated that Zayegan village ranked first, while another village ranked eighth.
Conclusion: Economic factors, infrastructure development, rural services, and government policies have had the most significant impact on changes in the physical structure of rural housing.