{"title":"基于网络的环境承载力与多重环境足迹的系统整合调控区域资源环境效应","authors":"Yizhong Chen , Lingzhi Yang , Lan Yao , Jing Li","doi":"10.1016/j.scs.2025.106861","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the resource environmental effect (REE) in the Beijing–Tianjin–Hebei urban agglomeration from a multi-factor perspective, in which the past-to-future environmental carrying capacity (ECC) based on water–land–energy–food nexus and multiple environmental footprints are evaluated under uncertainty. The three-dimensional Rubik’s cube model is utilized to categorize the region into distinct units for REE regulation. Results reveal a sustained increase in REE and environmental pressure (EEP), growing by 9.92 % and 5.38 % in the future, respectively. The ECC remains in a moderately disharmonious state, with its trajectory expected to shift from past growth to future decline. Land and energy subsystems are the primary constraints on resource and environmental improvement, contributing 51.39 % and 27.95 % to the total REE, respectively. The urban agglomeration’s northern area exhibits a higher REE than the southern area. Uncertainty analysis reveals that lowering the indicator threshold improves the overall ECC and REE, which change by +7 % and –5 %, respectively. In contrast, increasing the threshold leads to a notable degradation, with changes of –23 % and +26 %, respectively. Notably, the energy subsystem demonstrates opposite responses to these adjustments. Qinhuangdao, Zhangjiakou, Chengde, Langfang, and Hengshui characterized by high REE and low ECC (high EEP) should be prioritized for regulation. The overall REE in Beijing and Tianjin is relatively low; however, the carrying capacity of their water, land, and food subsystems poses a potential risk to regional development. These findings can offer a scientific basis for safeguarding resource security and fostering harmony between human activities and nature.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106861"},"PeriodicalIF":12.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Regulating regional resource environmental effect through systematic integration of nexus-based environmental carrying capacity and multiple environmental footprints\",\"authors\":\"Yizhong Chen , Lingzhi Yang , Lan Yao , Jing Li\",\"doi\":\"10.1016/j.scs.2025.106861\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study investigates the resource environmental effect (REE) in the Beijing–Tianjin–Hebei urban agglomeration from a multi-factor perspective, in which the past-to-future environmental carrying capacity (ECC) based on water–land–energy–food nexus and multiple environmental footprints are evaluated under uncertainty. The three-dimensional Rubik’s cube model is utilized to categorize the region into distinct units for REE regulation. Results reveal a sustained increase in REE and environmental pressure (EEP), growing by 9.92 % and 5.38 % in the future, respectively. The ECC remains in a moderately disharmonious state, with its trajectory expected to shift from past growth to future decline. Land and energy subsystems are the primary constraints on resource and environmental improvement, contributing 51.39 % and 27.95 % to the total REE, respectively. The urban agglomeration’s northern area exhibits a higher REE than the southern area. Uncertainty analysis reveals that lowering the indicator threshold improves the overall ECC and REE, which change by +7 % and –5 %, respectively. In contrast, increasing the threshold leads to a notable degradation, with changes of –23 % and +26 %, respectively. Notably, the energy subsystem demonstrates opposite responses to these adjustments. Qinhuangdao, Zhangjiakou, Chengde, Langfang, and Hengshui characterized by high REE and low ECC (high EEP) should be prioritized for regulation. The overall REE in Beijing and Tianjin is relatively low; however, the carrying capacity of their water, land, and food subsystems poses a potential risk to regional development. These findings can offer a scientific basis for safeguarding resource security and fostering harmony between human activities and nature.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"133 \",\"pages\":\"Article 106861\"},\"PeriodicalIF\":12.0000,\"publicationDate\":\"2025-10-01\",\"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/S2210670725007346\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670725007346","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}
Regulating regional resource environmental effect through systematic integration of nexus-based environmental carrying capacity and multiple environmental footprints
This study investigates the resource environmental effect (REE) in the Beijing–Tianjin–Hebei urban agglomeration from a multi-factor perspective, in which the past-to-future environmental carrying capacity (ECC) based on water–land–energy–food nexus and multiple environmental footprints are evaluated under uncertainty. The three-dimensional Rubik’s cube model is utilized to categorize the region into distinct units for REE regulation. Results reveal a sustained increase in REE and environmental pressure (EEP), growing by 9.92 % and 5.38 % in the future, respectively. The ECC remains in a moderately disharmonious state, with its trajectory expected to shift from past growth to future decline. Land and energy subsystems are the primary constraints on resource and environmental improvement, contributing 51.39 % and 27.95 % to the total REE, respectively. The urban agglomeration’s northern area exhibits a higher REE than the southern area. Uncertainty analysis reveals that lowering the indicator threshold improves the overall ECC and REE, which change by +7 % and –5 %, respectively. In contrast, increasing the threshold leads to a notable degradation, with changes of –23 % and +26 %, respectively. Notably, the energy subsystem demonstrates opposite responses to these adjustments. Qinhuangdao, Zhangjiakou, Chengde, Langfang, and Hengshui characterized by high REE and low ECC (high EEP) should be prioritized for regulation. The overall REE in Beijing and Tianjin is relatively low; however, the carrying capacity of their water, land, and food subsystems poses a potential risk to regional development. These findings can offer a scientific basis for safeguarding resource security and fostering harmony between human activities and nature.
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;