Spatial analysis of social poverty And identifying the factors t Case study: Amol city
The implementation of poverty reduction policies will not succeed without defining its scope and dimensions, and one of the important issues in defining poverty reduction programs is to know the extent of poverty affecting society and the factors that affect it. Therefore, the purpose of this study...
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| Format: | Article |
| Language: | fas |
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University of Sistan and Baluchestan
2019-12-01
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| Series: | جغرافیا و توسعه |
| Subjects: | |
| Online Access: | https://gdij.usb.ac.ir/article_5036_0fd72574460b2b9151cb1d4f4c09b7cd.pdf |
| _version_ | 1797804961557381120 |
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| author | amer nikpoor morteza rezazadeh Fatemeh Allahgholitabar Nesheli |
| author_facet | amer nikpoor morteza rezazadeh Fatemeh Allahgholitabar Nesheli |
| author_sort | amer nikpoor |
| collection | DOAJ |
| description | The implementation of poverty reduction policies will not succeed without defining its scope and dimensions, and one of the important issues in defining poverty reduction programs is to know the extent of poverty affecting society and the factors that affect it. Therefore, the purpose of this study is to investigate the space recognition of social poverty zones in Amol city. This paper is an applied and descriptive-analytical method. Data were obtained from statistical blocks of Statistics Center in 2011. GIS, GeoDa, SPSS and Excel software were used to extract and categorize the data of this research. In this research, 16 poverty-related indicators and analytical methods such as hot spots, factor analysis, Moran and LISA have been used. The results of hot spots analysis showed that the western margins of the city and parts near the river Haraz in the north and south of the city are one of the most important social poverty areas in Amol city. In total, these areas cover 267.57 hectare of the total city (12.89%) and 34278 of the total population of the city (15.62%). Also, the results of LISA's analysis of the final indicator of social poverty indicate that the largest poverty cluster with high values is in the western regions of the city, especially in neighborhoods No. 3, 4, 5, and 7. |
| first_indexed | 2024-03-13T05:43:58Z |
| format | Article |
| id | doaj.art-9a71bbdc3ee64ad7813c11aabb6f4f4b |
| institution | Directory Open Access Journal |
| issn | 1735-0735 2676-7791 |
| language | fas |
| last_indexed | 2024-03-13T05:43:58Z |
| publishDate | 2019-12-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | جغرافیا و توسعه |
| spelling | doaj.art-9a71bbdc3ee64ad7813c11aabb6f4f4b2023-06-13T20:23:53ZfasUniversity of Sistan and Baluchestanجغرافیا و توسعه1735-07352676-77912019-12-01175717719810.22111/gdij.2019.50365036Spatial analysis of social poverty And identifying the factors t Case study: Amol cityamer nikpoor0morteza rezazadeh1Fatemeh Allahgholitabar Nesheli2دانشیار جغرافیا و برنامهریزی شهری، دانشگاه مازندران، بابلسر، ایراندانشجوی دکتری جغرافیا و برنامهریزی شهری، دانشگاه خوارزمی، تهران، ایرانMaster of Science in Geography and Urban Planning, Mazandaran University, Babolsar, IranThe implementation of poverty reduction policies will not succeed without defining its scope and dimensions, and one of the important issues in defining poverty reduction programs is to know the extent of poverty affecting society and the factors that affect it. Therefore, the purpose of this study is to investigate the space recognition of social poverty zones in Amol city. This paper is an applied and descriptive-analytical method. Data were obtained from statistical blocks of Statistics Center in 2011. GIS, GeoDa, SPSS and Excel software were used to extract and categorize the data of this research. In this research, 16 poverty-related indicators and analytical methods such as hot spots, factor analysis, Moran and LISA have been used. The results of hot spots analysis showed that the western margins of the city and parts near the river Haraz in the north and south of the city are one of the most important social poverty areas in Amol city. In total, these areas cover 267.57 hectare of the total city (12.89%) and 34278 of the total population of the city (15.62%). Also, the results of LISA's analysis of the final indicator of social poverty indicate that the largest poverty cluster with high values is in the western regions of the city, especially in neighborhoods No. 3, 4, 5, and 7.https://gdij.usb.ac.ir/article_5036_0fd72574460b2b9151cb1d4f4c09b7cd.pdfspatial analysissocial povertyfactor analysisamol |
| spellingShingle | amer nikpoor morteza rezazadeh Fatemeh Allahgholitabar Nesheli Spatial analysis of social poverty And identifying the factors t Case study: Amol city جغرافیا و توسعه spatial analysis social poverty factor analysis amol |
| title | Spatial analysis of social poverty And identifying the factors t Case study: Amol city |
| title_full | Spatial analysis of social poverty And identifying the factors t Case study: Amol city |
| title_fullStr | Spatial analysis of social poverty And identifying the factors t Case study: Amol city |
| title_full_unstemmed | Spatial analysis of social poverty And identifying the factors t Case study: Amol city |
| title_short | Spatial analysis of social poverty And identifying the factors t Case study: Amol city |
| title_sort | spatial analysis of social poverty and identifying the factors t case study amol city |
| topic | spatial analysis social poverty factor analysis amol |
| url | https://gdij.usb.ac.ir/article_5036_0fd72574460b2b9151cb1d4f4c09b7cd.pdf |
| work_keys_str_mv | AT amernikpoor spatialanalysisofsocialpovertyandidentifyingthefactorstcasestudyamolcity AT mortezarezazadeh spatialanalysisofsocialpovertyandidentifyingthefactorstcasestudyamolcity AT fatemehallahgholitabarnesheli spatialanalysisofsocialpovertyandidentifyingthefactorstcasestudyamolcity |