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Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach
Rapid urbanization poses great challenges to China's urban land use sustainability (ULUS). Land is the essential space to achieve the Sustainable Development Goals (SDGs) of the United Nations, so SDGs provide a new guide to evaluate land use sustainability. However, there is still a lack of SD...
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| Published in: | Journal of environmental management 2023-01, Vol.326, p.116826-116826, Article 116826 |
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| creator | Wei, Chanjuan Meng, Jijun Zhu, Likai Han, Ziyan |
| description | Rapid urbanization poses great challenges to China's urban land use sustainability (ULUS). Land is the essential space to achieve the Sustainable Development Goals (SDGs) of the United Nations, so SDGs provide a new guide to evaluate land use sustainability. However, there is still a lack of SDGs-oriented assessment of urban land use at national level. Moreover, there is still a need to address the problems about the randomness and fuzziness within evaluation, which tends to cause more uncertainties. Here we developed a SDGs-oriented evaluation framework based on the cloud model and derived the spatial and temporal patterns of urban land use sustainability for China at the prefecture-level from 2004 to 2019. Then, we used the McKinsey matrix to classify the types of urban land use sustainability, and examined their main drivers using the Geodetector method. The results showed that the development level of ULUS in China was high in the east and low in the west. High-value hotspots were mainly distributed in primary and secondary urban agglomerations in China. From 2004 to 2019, the development level of ULUS in China gradually increased, but the growth rate slowed down. In 2009 the value of central China exceeded that of the northeast. In contrast, the coordination level of ULUS had declined in more than 50% of Chinese cities during the study period. The high values were in southern China, northeast China, and Chengdu-Chongqing urban agglomeration, while the low values were in central and southern Liaoning and the urban agglomeration in the Central Plains. The development level was mainly controlled by anthropogenic activities and urban development, while natural conditions constrained the improvement of the coordination level. Combining the development and coordination, we found that cities with higher development level often had a wide range of coordination level, and suggestions were put forward for different regions to achieve sustainable land use. Our research provides scientific guidance for China's territory planning and sustainable urban development.
•The progress towards the SDGs was assessed for Chinese urban land use at prefecture level.•The cloud model was successfully used to assess land use sustainability.•The spatio-temporal patterns of land use sustainability were derived from the development and coordination dimensions.•The development level increased, and interestingly, the level of central China exceeded that of northeast China in 2009.•Th |
| doi_str_mv | 10.1016/j.jenvman.2022.116826 |
| format | article |
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•The progress towards the SDGs was assessed for Chinese urban land use at prefecture level.•The cloud model was successfully used to assess land use sustainability.•The spatio-temporal patterns of land use sustainability were derived from the development and coordination dimensions.•The development level increased, and interestingly, the level of central China exceeded that of northeast China in 2009.•The incoordination was found in some developed regions, characterized by higher development levels but lower coordination.</description><identifier>ISSN: 0301-4797</identifier><identifier>EISSN: 1095-8630</identifier><identifier>DOI: 10.1016/j.jenvman.2022.116826</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>China ; Cloud model ; Sustainable development goals ; Urban land use sustainability</subject><ispartof>Journal of environmental management, 2023-01, Vol.326, p.116826-116826, Article 116826</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-55688c7fcf0735fb70a1cd8d006f81e5e65a1e9abf3f7dfed2d64246e8a82d353</citedby><cites>FETCH-LOGICAL-c342t-55688c7fcf0735fb70a1cd8d006f81e5e65a1e9abf3f7dfed2d64246e8a82d353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,783,787,27936,27937</link.rule.ids></links><search><creatorcontrib>Wei, Chanjuan</creatorcontrib><creatorcontrib>Meng, Jijun</creatorcontrib><creatorcontrib>Zhu, Likai</creatorcontrib><creatorcontrib>Han, Ziyan</creatorcontrib><title>Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach</title><title>Journal of environmental management</title><description>Rapid urbanization poses great challenges to China's urban land use sustainability (ULUS). Land is the essential space to achieve the Sustainable Development Goals (SDGs) of the United Nations, so SDGs provide a new guide to evaluate land use sustainability. However, there is still a lack of SDGs-oriented assessment of urban land use at national level. Moreover, there is still a need to address the problems about the randomness and fuzziness within evaluation, which tends to cause more uncertainties. Here we developed a SDGs-oriented evaluation framework based on the cloud model and derived the spatial and temporal patterns of urban land use sustainability for China at the prefecture-level from 2004 to 2019. Then, we used the McKinsey matrix to classify the types of urban land use sustainability, and examined their main drivers using the Geodetector method. The results showed that the development level of ULUS in China was high in the east and low in the west. High-value hotspots were mainly distributed in primary and secondary urban agglomerations in China. From 2004 to 2019, the development level of ULUS in China gradually increased, but the growth rate slowed down. In 2009 the value of central China exceeded that of the northeast. In contrast, the coordination level of ULUS had declined in more than 50% of Chinese cities during the study period. The high values were in southern China, northeast China, and Chengdu-Chongqing urban agglomeration, while the low values were in central and southern Liaoning and the urban agglomeration in the Central Plains. The development level was mainly controlled by anthropogenic activities and urban development, while natural conditions constrained the improvement of the coordination level. Combining the development and coordination, we found that cities with higher development level often had a wide range of coordination level, and suggestions were put forward for different regions to achieve sustainable land use. Our research provides scientific guidance for China's territory planning and sustainable urban development.
•The progress towards the SDGs was assessed for Chinese urban land use at prefecture level.•The cloud model was successfully used to assess land use sustainability.•The spatio-temporal patterns of land use sustainability were derived from the development and coordination dimensions.•The development level increased, and interestingly, the level of central China exceeded that of northeast China in 2009.•The incoordination was found in some developed regions, characterized by higher development levels but lower coordination.</description><subject>China</subject><subject>Cloud model</subject><subject>Sustainable development goals</subject><subject>Urban land use sustainability</subject><issn>0301-4797</issn><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkEtPwzAQhC0EEuXxE5B85JLiR-ykXFBV8ZKQuMDZcu11cZXYxZsU8e8JKndOu4eZ2Z2PkCvO5pxxfbOdbyHte5vmggkx51y3Qh-RGWcLVbVasmMyY5Lxqm4WzSk5Q9wyxqTgzYzkJSIgxrShu5I3ZdrpkL9s8UhxxMHGZNcdUA976PKuhzTQTbYd0pALXX3EBAh0LGubaGeTpyPCLV3SBF_UdXn0tM8eOmp3U7x1HxfkJExuuPyb5-T94f5t9VS9vD4-r5YvlZO1GCqldNu6JrjAGqnCumGWO996xnRoOSjQynJY2HWQofEBvPC6FrWG1rbCSyXPyfUhdzr7OQIOpo_ooJt-hDyiEU0ttFoIySepOkhdyYgFgtmV2NvybTgzv4DN1vwBNr-AzQHw5Ls7-GDqsY9QDLoIyYGPBdxgfI7_JPwAqKOJIw</recordid><startdate>20230115</startdate><enddate>20230115</enddate><creator>Wei, Chanjuan</creator><creator>Meng, Jijun</creator><creator>Zhu, Likai</creator><creator>Han, Ziyan</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230115</creationdate><title>Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach</title><author>Wei, Chanjuan ; Meng, Jijun ; Zhu, Likai ; Han, Ziyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-55688c7fcf0735fb70a1cd8d006f81e5e65a1e9abf3f7dfed2d64246e8a82d353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>China</topic><topic>Cloud model</topic><topic>Sustainable development goals</topic><topic>Urban land use sustainability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Chanjuan</creatorcontrib><creatorcontrib>Meng, Jijun</creatorcontrib><creatorcontrib>Zhu, Likai</creatorcontrib><creatorcontrib>Han, Ziyan</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Chanjuan</au><au>Meng, Jijun</au><au>Zhu, Likai</au><au>Han, Ziyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach</atitle><jtitle>Journal of environmental management</jtitle><date>2023-01-15</date><risdate>2023</risdate><volume>326</volume><spage>116826</spage><epage>116826</epage><pages>116826-116826</pages><artnum>116826</artnum><issn>0301-4797</issn><eissn>1095-8630</eissn><abstract>Rapid urbanization poses great challenges to China's urban land use sustainability (ULUS). Land is the essential space to achieve the Sustainable Development Goals (SDGs) of the United Nations, so SDGs provide a new guide to evaluate land use sustainability. However, there is still a lack of SDGs-oriented assessment of urban land use at national level. Moreover, there is still a need to address the problems about the randomness and fuzziness within evaluation, which tends to cause more uncertainties. Here we developed a SDGs-oriented evaluation framework based on the cloud model and derived the spatial and temporal patterns of urban land use sustainability for China at the prefecture-level from 2004 to 2019. Then, we used the McKinsey matrix to classify the types of urban land use sustainability, and examined their main drivers using the Geodetector method. The results showed that the development level of ULUS in China was high in the east and low in the west. High-value hotspots were mainly distributed in primary and secondary urban agglomerations in China. From 2004 to 2019, the development level of ULUS in China gradually increased, but the growth rate slowed down. In 2009 the value of central China exceeded that of the northeast. In contrast, the coordination level of ULUS had declined in more than 50% of Chinese cities during the study period. The high values were in southern China, northeast China, and Chengdu-Chongqing urban agglomeration, while the low values were in central and southern Liaoning and the urban agglomeration in the Central Plains. The development level was mainly controlled by anthropogenic activities and urban development, while natural conditions constrained the improvement of the coordination level. Combining the development and coordination, we found that cities with higher development level often had a wide range of coordination level, and suggestions were put forward for different regions to achieve sustainable land use. Our research provides scientific guidance for China's territory planning and sustainable urban development.
•The progress towards the SDGs was assessed for Chinese urban land use at prefecture level.•The cloud model was successfully used to assess land use sustainability.•The spatio-temporal patterns of land use sustainability were derived from the development and coordination dimensions.•The development level increased, and interestingly, the level of central China exceeded that of northeast China in 2009.•The incoordination was found in some developed regions, characterized by higher development levels but lower coordination.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.jenvman.2022.116826</doi><tpages>1</tpages></addata></record> |
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| subjects | China Cloud model Sustainable development goals Urban land use sustainability |
| title | Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach |
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