{"title":"Impacts of urban block form on carbon and pollutant emissions from urban life in China from the perspective of regional differences","authors":"Wei Wang , Wenshan Su","doi":"10.1016/j.scs.2024.105849","DOIUrl":null,"url":null,"abstract":"<div><div>Air pollution emissions (PE) and carbon emissions (CE) pose significant challenges to achieving the Sustainable Development Goals (SDGs) globally. The intensity of urban block development and spatial form can influence the relationship between PE and CE. This study analyzed 11,228 neighborhood samples from various climate zones across China using spatial statistics and an optimized random forest model to examine the impact of block spatial form on PE and CE. The findings reveal that: (1) The PE–CE correlation in non-first-tier city blocks in southern China is stronger than in those in northern China. The correlation is strongest in urban neighborhoods located in temperate climates. Additionally, the PE–CE correlation is weakest in Beijing and Shanghai. (2) The variation in explanatory power of different driving factors is more pronounced for CE than for PE, with PR, NDVI, and AH emerging as the most significant factors. (3) The synergy between PE and CE is strongest when BD is in the 20 %-30 % range. Similarly, the synergy is strongest when PR is in the 2–3 range. (4) BD in the 40 %-60 % range is most effective in reducing PE and CE, with 40 %-50 % range favoring CE reduction and 50 %-60 % range favoring PE reduction.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"115 ","pages":"Article 105849"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-05","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/S2210670724006735","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
Air pollution emissions (PE) and carbon emissions (CE) pose significant challenges to achieving the Sustainable Development Goals (SDGs) globally. The intensity of urban block development and spatial form can influence the relationship between PE and CE. This study analyzed 11,228 neighborhood samples from various climate zones across China using spatial statistics and an optimized random forest model to examine the impact of block spatial form on PE and CE. The findings reveal that: (1) The PE–CE correlation in non-first-tier city blocks in southern China is stronger than in those in northern China. The correlation is strongest in urban neighborhoods located in temperate climates. Additionally, the PE–CE correlation is weakest in Beijing and Shanghai. (2) The variation in explanatory power of different driving factors is more pronounced for CE than for PE, with PR, NDVI, and AH emerging as the most significant factors. (3) The synergy between PE and CE is strongest when BD is in the 20 %-30 % range. Similarly, the synergy is strongest when PR is in the 2–3 range. (4) BD in the 40 %-60 % range is most effective in reducing PE and CE, with 40 %-50 % range favoring CE reduction and 50 %-60 % range favoring PE reduction.
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;