{"title":"城市绿地的降温效应:对过去二十年应用方法的系统回顾","authors":"Jiongye Li , Sisi Zlatanova , Rudi Stouffs","doi":"10.1016/j.scs.2025.106833","DOIUrl":null,"url":null,"abstract":"<div><div>Research on the cooling effects of Urban Green Spaces (UGSs) has increased rapidly in recent years to address the pressing issue of Urban Heat Island (UHI). Several review papers have conducted literature review focusing on various perspectives, such as landscape metrics and correlation analyses. However, a thorough review of the methods and their components applied in this field has yet to be conducted. This review paper identifies and examines 215 relevant papers selected through the PRISMA standard, yielding several key findings. Firstly, from a temporal aspect, research in this field has grown since 2017, with a notable acceleration after 2021. Geographically, studies are concentrated in China, the USA, India, and European countries. Secondly, regarding used methods, while most studies tend to employ a single method, more recent research has begun to integrate multiple methods. Furthermore, we also found that remote sensing data can be applied across most common methods, including regression and correlation models. In contrast, certain methods, such as simulation models, are typically associated with ground-based data. Overall, this review is the first to conduct a comprehensive analysis of the methods used and their components from both a temporal and quantitative perspective. It also identifies the associations between used data, variables, and methods, and how they influence selections of each other. The findings can assist future studies in identifying appropriate methods based on their research contexts.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"133 ","pages":"Article 106833"},"PeriodicalIF":12.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cooling effects of urban green spaces: A systematic review of methods applied in the past two decades\",\"authors\":\"Jiongye Li , Sisi Zlatanova , Rudi Stouffs\",\"doi\":\"10.1016/j.scs.2025.106833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Research on the cooling effects of Urban Green Spaces (UGSs) has increased rapidly in recent years to address the pressing issue of Urban Heat Island (UHI). Several review papers have conducted literature review focusing on various perspectives, such as landscape metrics and correlation analyses. However, a thorough review of the methods and their components applied in this field has yet to be conducted. This review paper identifies and examines 215 relevant papers selected through the PRISMA standard, yielding several key findings. Firstly, from a temporal aspect, research in this field has grown since 2017, with a notable acceleration after 2021. Geographically, studies are concentrated in China, the USA, India, and European countries. Secondly, regarding used methods, while most studies tend to employ a single method, more recent research has begun to integrate multiple methods. Furthermore, we also found that remote sensing data can be applied across most common methods, including regression and correlation models. In contrast, certain methods, such as simulation models, are typically associated with ground-based data. Overall, this review is the first to conduct a comprehensive analysis of the methods used and their components from both a temporal and quantitative perspective. It also identifies the associations between used data, variables, and methods, and how they influence selections of each other. The findings can assist future studies in identifying appropriate methods based on their research contexts.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"133 \",\"pages\":\"Article 106833\"},\"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/S2210670725007061\",\"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/S2210670725007061","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}
Cooling effects of urban green spaces: A systematic review of methods applied in the past two decades
Research on the cooling effects of Urban Green Spaces (UGSs) has increased rapidly in recent years to address the pressing issue of Urban Heat Island (UHI). Several review papers have conducted literature review focusing on various perspectives, such as landscape metrics and correlation analyses. However, a thorough review of the methods and their components applied in this field has yet to be conducted. This review paper identifies and examines 215 relevant papers selected through the PRISMA standard, yielding several key findings. Firstly, from a temporal aspect, research in this field has grown since 2017, with a notable acceleration after 2021. Geographically, studies are concentrated in China, the USA, India, and European countries. Secondly, regarding used methods, while most studies tend to employ a single method, more recent research has begun to integrate multiple methods. Furthermore, we also found that remote sensing data can be applied across most common methods, including regression and correlation models. In contrast, certain methods, such as simulation models, are typically associated with ground-based data. Overall, this review is the first to conduct a comprehensive analysis of the methods used and their components from both a temporal and quantitative perspective. It also identifies the associations between used data, variables, and methods, and how they influence selections of each other. The findings can assist future studies in identifying appropriate methods based on their research contexts.
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;