An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data
Evidence suggests city grouping is an important way to implement urbanization in China. However, the Chengdu-Chongqing Economic Circle (CCEC) is a typical dual-core structure, and the development level of each city is different. If we do not focus on the key directions for urban development, it will...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-11-01
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Series: | Frontiers in Earth Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2023.1252597/full |
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author | Haijun Wang Xiangdong Kong Xiangdong Kong Ji Luo Pengju Li Xiyong Chen Tianhui Xie |
author_facet | Haijun Wang Xiangdong Kong Xiangdong Kong Ji Luo Pengju Li Xiyong Chen Tianhui Xie |
author_sort | Haijun Wang |
collection | DOAJ |
description | Evidence suggests city grouping is an important way to implement urbanization in China. However, the Chengdu-Chongqing Economic Circle (CCEC) is a typical dual-core structure, and the development level of each city is different. If we do not focus on the key directions for urban development, it will not be conducive to the new-type urbanization process. Therefore, we use spatial analysis techniques and geographic big data sets to construct an approach for urban system layout optimization from a global perspective. It mainly includes urban extended trend analysis based on night light, multi-modal traffic network analysis, and spatial economic density analysis using Open Street Map (OSM) and Point of Interest (POI) data. The research results show the following interesting findings. Firstly, the historical relationship of cities has a significant impact on city grouping, and efficient transportation connections and prosperous enterprise distribution are key conditions for urban grouping during the acceleration period of urbanization. Secondly, the development of urban grouping should break through administrative restrictions and achieve a moderate separation of administrative divisions and economic divisions. It is beneficial to the rapid growth of the city group and the improvement of the internal structure. Thirdly, the urban group of Southern Sichuan and Western Chongqing (SSWC) is the region with the most potential for growth in CCEC. The urban expansion index (UEI) of the Yibin-Luzhou area is 2.16, and the spatial economic density has increased by 130/km2 in the past decade. Providing flexible development authority and focus on the construction of the Yibin-Luzhou Urban Belt along the Yangtze River is an important way to integrate southern Sichuan. Moreover, we found the UEI has a good universality and it can be used for studying urban expansion trends and city relationships in rapidly developing regions, especially in metropolitan areas or urban agglomeration. |
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language | English |
last_indexed | 2024-03-11T14:12:06Z |
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spelling | doaj.art-4d9c3b4441704ccdba144c99c6fbc40f2023-11-01T17:54:24ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632023-11-011110.3389/feart.2023.12525971252597An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big dataHaijun Wang0Xiangdong Kong1Xiangdong Kong2Ji Luo3Pengju Li4Xiyong Chen5Tianhui Xie6School of Economics,Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaFaculty of Business Administration, Rajamangala University of Technology Thanyaburi, Pathum Thani, Thanyaburi, ThailandCollege of Management Science, Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaSchool of Economics,Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaSchool of Economics,Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaSchool of Economics,Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaSchool of Economics,Sichuan University of Science and Engineering, Zigong, Sichuan, ChinaEvidence suggests city grouping is an important way to implement urbanization in China. However, the Chengdu-Chongqing Economic Circle (CCEC) is a typical dual-core structure, and the development level of each city is different. If we do not focus on the key directions for urban development, it will not be conducive to the new-type urbanization process. Therefore, we use spatial analysis techniques and geographic big data sets to construct an approach for urban system layout optimization from a global perspective. It mainly includes urban extended trend analysis based on night light, multi-modal traffic network analysis, and spatial economic density analysis using Open Street Map (OSM) and Point of Interest (POI) data. The research results show the following interesting findings. Firstly, the historical relationship of cities has a significant impact on city grouping, and efficient transportation connections and prosperous enterprise distribution are key conditions for urban grouping during the acceleration period of urbanization. Secondly, the development of urban grouping should break through administrative restrictions and achieve a moderate separation of administrative divisions and economic divisions. It is beneficial to the rapid growth of the city group and the improvement of the internal structure. Thirdly, the urban group of Southern Sichuan and Western Chongqing (SSWC) is the region with the most potential for growth in CCEC. The urban expansion index (UEI) of the Yibin-Luzhou area is 2.16, and the spatial economic density has increased by 130/km2 in the past decade. Providing flexible development authority and focus on the construction of the Yibin-Luzhou Urban Belt along the Yangtze River is an important way to integrate southern Sichuan. Moreover, we found the UEI has a good universality and it can be used for studying urban expansion trends and city relationships in rapidly developing regions, especially in metropolitan areas or urban agglomeration.https://www.frontiersin.org/articles/10.3389/feart.2023.1252597/fullterritorial spatial planningurban system layout optimizationgeospatial big dataChengdu-Chongqing economic circleurban expansion and multi-mode traffic |
spellingShingle | Haijun Wang Xiangdong Kong Xiangdong Kong Ji Luo Pengju Li Xiyong Chen Tianhui Xie An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data Frontiers in Earth Science territorial spatial planning urban system layout optimization geospatial big data Chengdu-Chongqing economic circle urban expansion and multi-mode traffic |
title | An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data |
title_full | An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data |
title_fullStr | An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data |
title_full_unstemmed | An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data |
title_short | An approach to urban system spatial planning in Chengdu Chongqing economic circle using geospatial big data |
title_sort | approach to urban system spatial planning in chengdu chongqing economic circle using geospatial big data |
topic | territorial spatial planning urban system layout optimization geospatial big data Chengdu-Chongqing economic circle urban expansion and multi-mode traffic |
url | https://www.frontiersin.org/articles/10.3389/feart.2023.1252597/full |
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