{"title":"Research on the coupling of ecological environment and socio-economic development in resource-based cities: Based on scenario simulation method","authors":"","doi":"10.1016/j.scs.2024.105810","DOIUrl":null,"url":null,"abstract":"<div><p>Resource-based cities (RBCs) encounter numerous challenges in terms of ecological environment (EE) protection and socio-economy (SE) upgrading. This exerts pressure on the advancement of sustainable development. A benign relationship between EE and SE is a crucial factor in promoting RBCs to realize sustainable development. Using Sichuan RBCs as a case study, this study determined the EE and SE resilience levels, examined the degree of coupling coordination between the two levels of resilience, and investigated the specific pathways in which RBCs might reach a high coupling state. The level of resilience in Sichuan RBCs is dropping for EE, stable for SE, and steadily increasing overall. The degree of coupling coordination is suboptimal, as shown by a D-value of 0.260. However, there is an overall trend towards improved coordination. There 8 cities with a moderate state of dysfunction. In the high state development scenario, the coupling coordination degree of the cities rises significantly. Guang'an, Luzhou, Nanchong, and Zigong should prioritize addressing the issue of EE pollution emission and work to strengthen the regulation and treatment of industrial pollutants. Moreover, to enhance the influx of talent and population, the cities of Dazhou, Guangyuan, Panzhihua, and Ya'an should implement human-centered urban design and layout.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724006346","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Resource-based cities (RBCs) encounter numerous challenges in terms of ecological environment (EE) protection and socio-economy (SE) upgrading. This exerts pressure on the advancement of sustainable development. A benign relationship between EE and SE is a crucial factor in promoting RBCs to realize sustainable development. Using Sichuan RBCs as a case study, this study determined the EE and SE resilience levels, examined the degree of coupling coordination between the two levels of resilience, and investigated the specific pathways in which RBCs might reach a high coupling state. The level of resilience in Sichuan RBCs is dropping for EE, stable for SE, and steadily increasing overall. The degree of coupling coordination is suboptimal, as shown by a D-value of 0.260. However, there is an overall trend towards improved coordination. There 8 cities with a moderate state of dysfunction. In the high state development scenario, the coupling coordination degree of the cities rises significantly. Guang'an, Luzhou, Nanchong, and Zigong should prioritize addressing the issue of EE pollution emission and work to strengthen the regulation and treatment of industrial pollutants. Moreover, to enhance the influx of talent and population, the cities of Dazhou, Guangyuan, Panzhihua, and Ya'an should implement human-centered urban design and layout.
期刊介绍：
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;
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