{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T02:20:22Z","timestamp":1773022822103,"version":"3.50.1"},"reference-count":48,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23A2061"],"award-info":[{"award-number":["U23A2061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2024RS-CXTD-55"],"award-info":[{"award-number":["2024RS-CXTD-55"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Capability Support Program of Shaanxi","award":["U23A2061"],"award-info":[{"award-number":["U23A2061"]}]},{"name":"Innovation Capability Support Program of Shaanxi","award":["2024RS-CXTD-55"],"award-info":[{"award-number":["2024RS-CXTD-55"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Resource-based cities face numerous sustainability challenges, making the coupled and coordinated relationship between urbanization and the eco-environment critical for sustainable development strategies. The Loess Plateau is an essential energy base and ecologically fragile area in China, holding unique and significant research value. This research employed the Remote Sensing Ecological Index (RSEI) and the Compound Night Light Index (CNLI), based on MODIS and night light data, to investigate the socio-economic development and eco-environmental changes across 25 resource-based cities on the Loess Plateau (LP) in China over the past 20 years. The Coupling Coordination Degree Model (CCDM) and Multi-Scale Geographically Weighted Regression (MGWR) were utilized to assess the relationship between urbanization and ecological factors. The average RSEI values for these cities ranged from 0.4524 to 0.4892 over the 20 years, reflecting an upward trend with a growth rate of 8.13%. Simultaneously, the average CNLI values ranged from 1.5700 to 6.0864, with a change of 4.5164. Over the past two decades, all cities in the study area experienced rapid urbanization and ecological development. The correlation between urbanization and ecological factors strengthened, alongside an increasing spatial heterogeneity. While the coupling coordination relationship in most cities showed improvement, many remained within the low to middle grades. These findings enhance the understanding of the intricate relationships between urbanization and ecology, offering valuable insights for policy-making aimed at creating sustainable and livable resource-based cities.<\/jats:p>","DOI":"10.3390\/ijgi13120437","type":"journal-article","created":{"date-parts":[[2024,12,5]],"date-time":"2024-12-05T04:13:03Z","timestamp":1733371983000},"page":"437","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["The Coupling Coordination Relationship Between Urbanization and the Eco-Environment in Resource-Based Cities, Loess Plateau, China"],"prefix":"10.3390","volume":"13","author":[{"given":"Shuaizhi","family":"Kang","sequence":"first","affiliation":[{"name":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Shaanxi Key Laboratory of Land Consolidation, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Xia","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Shaanxi Key Laboratory of Land Consolidation, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9818-3682","authenticated-orcid":false,"given":"Yonghua","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Shaanxi Key Laboratory of Land Consolidation, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Manya","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Shaanxi Key Laboratory of Land Consolidation, Chang\u2019an University, Xi\u2019an 710054, China"}]},{"given":"Huanyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi\u2019an 710075, China"}]},{"given":"Ming","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Land Engineering, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Key Laboratory of Degraded and Unused Land Consolidation Engineering of the Ministry of Natural Resources, Chang\u2019an University, Xi\u2019an 710054, China"},{"name":"Shaanxi Key Laboratory of Land Consolidation, Chang\u2019an University, Xi\u2019an 710054, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ji, J., Tang, Z., Zhang, W., Liu, W., Jin, B., Xi, X., Wang, F., Zhang, R., Guo, B., and Xu, Z. 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