Spatiotemporal evolution and driving factors of the rural settlements in the mountain–plain transitional zone
Identifying the spatiotemporal evolution characteristics of rural settlements and their driving factors is of great significance to layout optimization of rural settlements, intensive and economical use of rural land, and preparation of land space planning. Focusing on the mountain-plain transitiona...
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Veröffentlicht in: | International journal of agricultural and biological engineering 2022-03, Vol.15 (2), p.149-155 |
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description | Identifying the spatiotemporal evolution characteristics of rural settlements and their driving factors is of great significance to layout optimization of rural settlements, intensive and economical use of rural land, and preparation of land space planning. Focusing on the mountain-plain transitional zone of Dujiangyan City, China, as the study area, this paper employs methods including landscape pattern index, kernel density estimation, average nearest neighbor index, and Geodetector to quantitatively analyze the spatiotemporal layout evolution characteristics of rural settlements and relevant driving factors in Dujiangyan City over the last decade. The four main findings are as follows. First, land use area of rural settlements and the quantity of patches in Dujiangyan exhibited synchronous changes during 2005-2015. Total class area (CA) increased from 6161.43 to 7265.43 hm2, then declined to 7043.01 hm2, and the number of patches (NP) increased from 16 543 to 26 018, and then declined to 25 890. Second, the maximum kernel density estimation values in the east and southeast of Dujiangyan City increased remarkably from 48.34 to 74.69 per hm2 during 2005-2010. Third, the average nearest neighbor index of rural settlements continually decreased in the foregoing 10 years, indicating a higher concentration of rural settlements. Finally, production and living conditions are the main driving factors of dynamic change in land use in rural settlements, while the impact of socio-economic factors is relatively smaller. Among others, the p-value of road accessibility is 0.057, and the impact p-value of land slope is 0.035. |
doi_str_mv | 10.25165/j.ijabe.20221502.5776 |
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Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610066, Sichuan, China ; 1. College of Geography and Resources Science, Sichuan Normal University, Chengdu 610066, Sichuan, China ; 3. Collaborative Innovation Center for Land Resource Development and Protection, Sichuan Normal University, Chengdu 610066, Sichuan, China ; 4. Xiangyang Urban Design and Planning Research Institute, Xiangyang 441000, Hubei, China</creatorcontrib><description>Identifying the spatiotemporal evolution characteristics of rural settlements and their driving factors is of great significance to layout optimization of rural settlements, intensive and economical use of rural land, and preparation of land space planning. Focusing on the mountain-plain transitional zone of Dujiangyan City, China, as the study area, this paper employs methods including landscape pattern index, kernel density estimation, average nearest neighbor index, and Geodetector to quantitatively analyze the spatiotemporal layout evolution characteristics of rural settlements and relevant driving factors in Dujiangyan City over the last decade. The four main findings are as follows. First, land use area of rural settlements and the quantity of patches in Dujiangyan exhibited synchronous changes during 2005-2015. Total class area (CA) increased from 6161.43 to 7265.43 hm2, then declined to 7043.01 hm2, and the number of patches (NP) increased from 16 543 to 26 018, and then declined to 25 890. Second, the maximum kernel density estimation values in the east and southeast of Dujiangyan City increased remarkably from 48.34 to 74.69 per hm2 during 2005-2010. Third, the average nearest neighbor index of rural settlements continually decreased in the foregoing 10 years, indicating a higher concentration of rural settlements. Finally, production and living conditions are the main driving factors of dynamic change in land use in rural settlements, while the impact of socio-economic factors is relatively smaller. Among others, the p-value of road accessibility is 0.057, and the impact p-value of land slope is 0.035.</description><identifier>ISSN: 1934-6344</identifier><identifier>EISSN: 1934-6352</identifier><identifier>DOI: 10.25165/j.ijabe.20221502.5776</identifier><language>eng</language><publisher>Beijing: International Journal of Agricultural and Biological Engineering (IJABE)</publisher><subject>Density ; Economic factors ; Evolution ; Impact analysis ; Kernels ; Land use ; Layouts ; Living conditions ; Mountains ; Optimization ; Population ; Rural areas ; Rural land use ; Social factors ; Socioeconomic factors ; Socioeconomics</subject><ispartof>International journal of agricultural and biological engineering, 2022-03, Vol.15 (2), p.149-155</ispartof><rights>2022. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c283t-429cc95fc2c9c98defb25ef275ac330117d7d41c0e3ffe7573caaf68d142f0463</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Sun, Daoliang</creatorcontrib><creatorcontrib>Hong, Buting</creatorcontrib><creatorcontrib>Ren, Ping</creatorcontrib><creatorcontrib>2. Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610066, Sichuan, China</creatorcontrib><creatorcontrib>1. College of Geography and Resources Science, Sichuan Normal University, Chengdu 610066, Sichuan, China</creatorcontrib><creatorcontrib>3. Collaborative Innovation Center for Land Resource Development and Protection, Sichuan Normal University, Chengdu 610066, Sichuan, China</creatorcontrib><creatorcontrib>4. Xiangyang Urban Design and Planning Research Institute, Xiangyang 441000, Hubei, China</creatorcontrib><title>Spatiotemporal evolution and driving factors of the rural settlements in the mountain–plain transitional zone</title><title>International journal of agricultural and biological engineering</title><description>Identifying the spatiotemporal evolution characteristics of rural settlements and their driving factors is of great significance to layout optimization of rural settlements, intensive and economical use of rural land, and preparation of land space planning. Focusing on the mountain-plain transitional zone of Dujiangyan City, China, as the study area, this paper employs methods including landscape pattern index, kernel density estimation, average nearest neighbor index, and Geodetector to quantitatively analyze the spatiotemporal layout evolution characteristics of rural settlements and relevant driving factors in Dujiangyan City over the last decade. The four main findings are as follows. First, land use area of rural settlements and the quantity of patches in Dujiangyan exhibited synchronous changes during 2005-2015. Total class area (CA) increased from 6161.43 to 7265.43 hm2, then declined to 7043.01 hm2, and the number of patches (NP) increased from 16 543 to 26 018, and then declined to 25 890. Second, the maximum kernel density estimation values in the east and southeast of Dujiangyan City increased remarkably from 48.34 to 74.69 per hm2 during 2005-2010. 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Among others, the p-value of road accessibility is 0.057, and the impact p-value of land slope is 0.035.</description><subject>Density</subject><subject>Economic factors</subject><subject>Evolution</subject><subject>Impact analysis</subject><subject>Kernels</subject><subject>Land use</subject><subject>Layouts</subject><subject>Living conditions</subject><subject>Mountains</subject><subject>Optimization</subject><subject>Population</subject><subject>Rural areas</subject><subject>Rural land use</subject><subject>Social factors</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><issn>1934-6344</issn><issn>1934-6352</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNo9kM1KxDAUhYMoOI6-ggRct-anSdqlDP7BgAt1HTJpoi1tUpN0QFe-g2_ok9jOqKt7Offcw-ED4ByjnDDM2WWbN63amJwgQjBDJGdC8AOwwBUtMk4ZOfzfi-IYnMTYIsSLkrIF8I-DSo1Pph98UB00W9-Nk-CgcjWsQ7Nt3Au0SicfIvQWplcDwzhbo0mpM71xKcLG7Q69H11Sjfv-_Bo6NYtBudjMedPDh3fmFBxZ1UVz9juX4Pnm-ml1l60fbu9XV-tMk5KmrCCV1hWzmuhKV2Vt7IYwY4lgSlOKMBa1qAuskaHWGsEE1UpZXta4IBYVnC7BxT53CP5tNDHJ1o9hahEl4YLSkmJSTS6-d-ngYwzGyiE0vQrvEiO5gytbuYMr_-DKGS79AXuNcy4</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Sun, Daoliang</creator><creator>Hong, Buting</creator><creator>Ren, Ping</creator><general>International Journal of Agricultural and Biological Engineering (IJABE)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QO</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BVBZV</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>RC3</scope><scope>SOI</scope></search><sort><creationdate>20220301</creationdate><title>Spatiotemporal evolution and driving factors of the rural settlements in the mountain–plain transitional zone</title><author>Sun, Daoliang ; Hong, Buting ; Ren, Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c283t-429cc95fc2c9c98defb25ef275ac330117d7d41c0e3ffe7573caaf68d142f0463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Density</topic><topic>Economic factors</topic><topic>Evolution</topic><topic>Impact analysis</topic><topic>Kernels</topic><topic>Land use</topic><topic>Layouts</topic><topic>Living conditions</topic><topic>Mountains</topic><topic>Optimization</topic><topic>Population</topic><topic>Rural areas</topic><topic>Rural land use</topic><topic>Social factors</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Daoliang</creatorcontrib><creatorcontrib>Hong, Buting</creatorcontrib><creatorcontrib>Ren, Ping</creatorcontrib><creatorcontrib>2. 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Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610066, Sichuan, China</aucorp><aucorp>1. College of Geography and Resources Science, Sichuan Normal University, Chengdu 610066, Sichuan, China</aucorp><aucorp>3. Collaborative Innovation Center for Land Resource Development and Protection, Sichuan Normal University, Chengdu 610066, Sichuan, China</aucorp><aucorp>4. Xiangyang Urban Design and Planning Research Institute, Xiangyang 441000, Hubei, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatiotemporal evolution and driving factors of the rural settlements in the mountain–plain transitional zone</atitle><jtitle>International journal of agricultural and biological engineering</jtitle><date>2022-03-01</date><risdate>2022</risdate><volume>15</volume><issue>2</issue><spage>149</spage><epage>155</epage><pages>149-155</pages><issn>1934-6344</issn><eissn>1934-6352</eissn><abstract>Identifying the spatiotemporal evolution characteristics of rural settlements and their driving factors is of great significance to layout optimization of rural settlements, intensive and economical use of rural land, and preparation of land space planning. Focusing on the mountain-plain transitional zone of Dujiangyan City, China, as the study area, this paper employs methods including landscape pattern index, kernel density estimation, average nearest neighbor index, and Geodetector to quantitatively analyze the spatiotemporal layout evolution characteristics of rural settlements and relevant driving factors in Dujiangyan City over the last decade. The four main findings are as follows. First, land use area of rural settlements and the quantity of patches in Dujiangyan exhibited synchronous changes during 2005-2015. Total class area (CA) increased from 6161.43 to 7265.43 hm2, then declined to 7043.01 hm2, and the number of patches (NP) increased from 16 543 to 26 018, and then declined to 25 890. Second, the maximum kernel density estimation values in the east and southeast of Dujiangyan City increased remarkably from 48.34 to 74.69 per hm2 during 2005-2010. Third, the average nearest neighbor index of rural settlements continually decreased in the foregoing 10 years, indicating a higher concentration of rural settlements. Finally, production and living conditions are the main driving factors of dynamic change in land use in rural settlements, while the impact of socio-economic factors is relatively smaller. Among others, the p-value of road accessibility is 0.057, and the impact p-value of land slope is 0.035.</abstract><cop>Beijing</cop><pub>International Journal of Agricultural and Biological Engineering (IJABE)</pub><doi>10.25165/j.ijabe.20221502.5776</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Density Economic factors Evolution Impact analysis Kernels Land use Layouts Living conditions Mountains Optimization Population Rural areas Rural land use Social factors Socioeconomic factors Socioeconomics |
title | Spatiotemporal evolution and driving factors of the rural settlements in the mountain–plain transitional zone |
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