Kaili Zhang , Qiqi Liu , Bin Fang , Zhicheng Zhang , Tan Liu , Jianxun Yuan
{"title":"Research on the cool island effect of green spaces in megacity cores: A case study of the main urban area of Xi'an, China","authors":"Kaili Zhang , Qiqi Liu , Bin Fang , Zhicheng Zhang , Tan Liu , Jianxun Yuan","doi":"10.1016/j.scs.2025.106255","DOIUrl":null,"url":null,"abstract":"<div><div>Optimizing urban green spaces (UGS) cool island effects is crucial for urban climate resilience. In the main urban region of Xi'an, the UGS cool island effect was thoroughly investigated in this study, which covered pattern detection, characteristic analysis, scale consideration, mechanism discovery, and layout optimization. Among the primary research instruments were the Generalized Additive Model (GAM), the urban cooling model, and optimal parameter geographic identification technology. According to the study, within a 200-meter radius, UGS can considerably lower land surface temperature (LST). The cool island effect is mostly caused by wetlands and woods, and it is most noticeable around parks, water systems, and lakes in the Baqiao District. When exploring the factors influencing HMI, we found that two-dimensional UGS landscape indicators dominate, followed closely by socio-economic factors, with three-dimensional building indicators ranking third. Notably, the interactions between different pairs of factors were all more pronounced than the effects of individual factors. The Sky View Factor (SVF), a crucial three-dimensional indicator, has a significant impact that cannot be disregarded. Complex nonlinear interactions between these major components and HMI are evident, and certain elements may have threshold effects. Consideration of multi-factor interactions and geographical variations is necessary for efficient UGS layout optimization.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"122 ","pages":"Article 106255"},"PeriodicalIF":12.0000,"publicationDate":"2025-03-15","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/S2210670725001325","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Optimizing urban green spaces (UGS) cool island effects is crucial for urban climate resilience. In the main urban region of Xi'an, the UGS cool island effect was thoroughly investigated in this study, which covered pattern detection, characteristic analysis, scale consideration, mechanism discovery, and layout optimization. Among the primary research instruments were the Generalized Additive Model (GAM), the urban cooling model, and optimal parameter geographic identification technology. According to the study, within a 200-meter radius, UGS can considerably lower land surface temperature (LST). The cool island effect is mostly caused by wetlands and woods, and it is most noticeable around parks, water systems, and lakes in the Baqiao District. When exploring the factors influencing HMI, we found that two-dimensional UGS landscape indicators dominate, followed closely by socio-economic factors, with three-dimensional building indicators ranking third. Notably, the interactions between different pairs of factors were all more pronounced than the effects of individual factors. The Sky View Factor (SVF), a crucial three-dimensional indicator, has a significant impact that cannot be disregarded. Complex nonlinear interactions between these major components and HMI are evident, and certain elements may have threshold effects. Consideration of multi-factor interactions and geographical variations is necessary for efficient UGS layout optimization.
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;
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
