SPATIAL DISTRIBUTION OF QUALITY OF LIFE AND IDENTIFICATION OF ITS DETERMINANTS IN RURAL SETTLEMENTS (CASE STUDY: RAVANSAR COUNTY IN KERMANSHAH PROVINCE)

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JAMINI D.; SAFARI M.; SALAHI M.; ALIPOUR KH.; ZOLFAGHARI A.

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Journal: Geography and Environmental Planning Year:2017 | Volume:28 | Issue:2 (66) Page(s): 57-78

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Title

SPATIAL DISTRIBUTION OF QUALITY OF LIFE AND IDENTIFICATION OF ITS DETERMINANTS IN RURAL SETTLEMENTS (CASE STUDY: RAVANSAR COUNTY IN KERMANSHAH PROVINCE)

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Keywords

RURAL DEVELOPMENTQ2

QUALITY OF LIFEQ1

SPATIAL DISTRIBUTIONQ2

RURAL AREASQ1

RAVANSAR COUNTYQ1

Abstract

The research method was descriptive-survey and its purpose was to assess the QUALITY OF LIFE in rural of Ravansar Township. The population of this research is total household tutelars of 95 villages which their population was above 20 households. So, 379 questionnaires, which their validity and reliability was confirmed by scientific approaches, were distributed among 95 of rural settlements. To analyze data and display rural settlements QUALITY OF LIFE, SPSS and GIS softwares were used, respectively. The results showed that situation of QUALITY OF LIFE, with a mean of 2.14 and standard deviation of 0.84 is an unsuitable situation among rural settlements. Calculations of variance analysis suggested that there is a significant difference among 95 of sample settlements in terms of QUALITY OF LIFE. The results of the analyses using Cluster Analysis regarding the present inequality among rural settlements showed that 6 percent of total settlements (with a mean of 3.48 of QUALITY OF LIFE) are located in the first cluster, 15 percent of total settlements (with a mean of 2.63 of QUALITY OF LIFE) in the second cluster and 79 percent of total settlements (with a mean of 1.95 of QUALITY OF LIFE) in the third cluster, respectively. Spatial display of QUALITY OF LIFE indicated that there is a low QUALITY OF LIFE in the studied area. The results of identification of QUALITY OF LIFE determinants, using Multi Variable Regression, also showed that 7 of independent variables calculated around 75.6 percent of total dependent variance. These independent variables are: status of economic-social, ownership of capital oriented resources, household dimension, access to services and facilities, access to credits, supportive policies and management factors.

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APA: Copy

JAMINI, D., SAFARI, M., SALAHI, M., ALIPOUR, KH., & ZOLFAGHARI, A.. (2017). SPATIAL DISTRIBUTION OF QUALITY OF LIFE AND IDENTIFICATION OF ITS DETERMINANTS IN RURAL SETTLEMENTS (CASE STUDY: RAVANSAR COUNTY IN KERMANSHAH PROVINCE). GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), 28(2 (66) ), 57-78. SID. https://sid.ir/paper/372881/en

Vancouver: Copy

JAMINI D., SAFARI M., SALAHI M., ALIPOUR KH., ZOLFAGHARI A.. SPATIAL DISTRIBUTION OF QUALITY OF LIFE AND IDENTIFICATION OF ITS DETERMINANTS IN RURAL SETTLEMENTS (CASE STUDY: RAVANSAR COUNTY IN KERMANSHAH PROVINCE). GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN)[Internet]. 2017;28(2 (66) ):57-78. Available from: https://sid.ir/paper/372881/en

IEEE: Copy

D. JAMINI, M. SAFARI, M. SALAHI, KH. ALIPOUR, and A. ZOLFAGHARI, “SPATIAL DISTRIBUTION OF QUALITY OF LIFE AND IDENTIFICATION OF ITS DETERMINANTS IN RURAL SETTLEMENTS (CASE STUDY: RAVANSAR COUNTY IN KERMANSHAH PROVINCE),” GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), vol. 28, no. 2 (66) , pp. 57–78, 2017, [Online]. Available: https://sid.ir/paper/372881/en

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