{"title":"Effect of urban structure on land surface temperature around elementary schools in Hangzhou based on local climate zones","authors":"","doi":"10.1016/j.scs.2024.105724","DOIUrl":null,"url":null,"abstract":"<div><p>Changes in land surface temperature (LST) caused by the diversification of urban structures have garnered widespread attention. Elementary school students, the largest group receiving education, are particularly vulnerable. However, few studies have investigated how such changes manifest around elementary schools where students are concentrated. Herein, the urban structure of Hangzhou was identified with the help of local climate zones (LCZs) based on remote sensing to analyze the land use/land cover characteristics around 458 elementary schools. Moreover, a random forest regression model was employed to explore the relation between LCZs and seasonal LST around elementary schools and the relative importance of LCZs. Results indicate the following: (1) The land use intensity and LST around elementary schools were higher. (2) The LST of different LCZs exhibited significant seasonal differences. (3) A nonlinear relationship existed between LCZs and LST around elementary schools, of which compact midrise, open high-rise, dense trees, scattered trees and water were the five most relevant types. (4) The LST around elementary schools was closely related to the urban morphology of artificial surfaces, in which building density was the dominant factor. These findings provide valuable references for land use planning in the surrounding areas of elementary schools.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-07-31","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/S2210670724005493","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
Changes in land surface temperature (LST) caused by the diversification of urban structures have garnered widespread attention. Elementary school students, the largest group receiving education, are particularly vulnerable. However, few studies have investigated how such changes manifest around elementary schools where students are concentrated. Herein, the urban structure of Hangzhou was identified with the help of local climate zones (LCZs) based on remote sensing to analyze the land use/land cover characteristics around 458 elementary schools. Moreover, a random forest regression model was employed to explore the relation between LCZs and seasonal LST around elementary schools and the relative importance of LCZs. Results indicate the following: (1) The land use intensity and LST around elementary schools were higher. (2) The LST of different LCZs exhibited significant seasonal differences. (3) A nonlinear relationship existed between LCZs and LST around elementary schools, of which compact midrise, open high-rise, dense trees, scattered trees and water were the five most relevant types. (4) The LST around elementary schools was closely related to the urban morphology of artificial surfaces, in which building density was the dominant factor. These findings provide valuable references for land use planning in the surrounding areas of elementary schools.
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;