Zhengyuan Liang , Hongze Liu , Wanyun Zhou , Moyan Wang , Zhijia Wei , Zhengxi Fan , Zhiming Li
{"title":"响应 \"城市降温行动\":中国南京社区级城市公园降温服务绩效评估与可视化","authors":"Zhengyuan Liang , Hongze Liu , Wanyun Zhou , Moyan Wang , Zhijia Wei , Zhengxi Fan , Zhiming Li","doi":"10.1016/j.scs.2024.105876","DOIUrl":null,"url":null,"abstract":"<div><div>Although previous studies have confirmed the urban park cooling effects (UPCE), it is unclear how their cooling services are connected to and equitably distributed among users. In response to the \"urban cooling action\" in cities across China, this study links the cooling intensity and multimodal Ga2SFCA (MM-Ga2SFCA) to develop a methodology framework to assess the community-level urban park cooling service performance (UPCSP) per capita. Taking the highly urbanized Nanjing central districts (NCDs) as an example, the main conclusions are: (1) The average cooling magnitude of 200 parks on August 12, 2022, September 18, 2021 and October 4, 2021 was 2.22 °C; the average maximum cooling scale (MCS), maximum cooling efficiency (MCE), cumulative cooling intensity (CCI) and cumulative cooling gradient (CCG) were 41.29 ha, 2.99 times, 89.41 °C*m<sup>2</sup> and 0.70 °C, respectively. (2) The average comprehensive service performance of 545 communities within 5, 10, and 15 min were 117.97 °C*m<sup>2</sup>, 212.04 °C*m<sup>2</sup>, and 264.83 °C*m<sup>2</sup>, respectively. (3) The spatial differences of UPCSP were mainly affected by the spatial layout of urban parks and their internal and external physical environments. These findings can provide useful implications for improving and balancing the UPCSP among communities.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"116 ","pages":"Article 105876"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Responding to “city cooling action”: Assessing and visualizing community-level urban park cooling service performance in Nanjing, China\",\"authors\":\"Zhengyuan Liang , Hongze Liu , Wanyun Zhou , Moyan Wang , Zhijia Wei , Zhengxi Fan , Zhiming Li\",\"doi\":\"10.1016/j.scs.2024.105876\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Although previous studies have confirmed the urban park cooling effects (UPCE), it is unclear how their cooling services are connected to and equitably distributed among users. In response to the \\\"urban cooling action\\\" in cities across China, this study links the cooling intensity and multimodal Ga2SFCA (MM-Ga2SFCA) to develop a methodology framework to assess the community-level urban park cooling service performance (UPCSP) per capita. Taking the highly urbanized Nanjing central districts (NCDs) as an example, the main conclusions are: (1) The average cooling magnitude of 200 parks on August 12, 2022, September 18, 2021 and October 4, 2021 was 2.22 °C; the average maximum cooling scale (MCS), maximum cooling efficiency (MCE), cumulative cooling intensity (CCI) and cumulative cooling gradient (CCG) were 41.29 ha, 2.99 times, 89.41 °C*m<sup>2</sup> and 0.70 °C, respectively. (2) The average comprehensive service performance of 545 communities within 5, 10, and 15 min were 117.97 °C*m<sup>2</sup>, 212.04 °C*m<sup>2</sup>, and 264.83 °C*m<sup>2</sup>, respectively. (3) The spatial differences of UPCSP were mainly affected by the spatial layout of urban parks and their internal and external physical environments. These findings can provide useful implications for improving and balancing the UPCSP among communities.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"116 \",\"pages\":\"Article 105876\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-10-12\",\"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/S2210670724007005\",\"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/S2210670724007005","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}
Responding to “city cooling action”: Assessing and visualizing community-level urban park cooling service performance in Nanjing, China
Although previous studies have confirmed the urban park cooling effects (UPCE), it is unclear how their cooling services are connected to and equitably distributed among users. In response to the "urban cooling action" in cities across China, this study links the cooling intensity and multimodal Ga2SFCA (MM-Ga2SFCA) to develop a methodology framework to assess the community-level urban park cooling service performance (UPCSP) per capita. Taking the highly urbanized Nanjing central districts (NCDs) as an example, the main conclusions are: (1) The average cooling magnitude of 200 parks on August 12, 2022, September 18, 2021 and October 4, 2021 was 2.22 °C; the average maximum cooling scale (MCS), maximum cooling efficiency (MCE), cumulative cooling intensity (CCI) and cumulative cooling gradient (CCG) were 41.29 ha, 2.99 times, 89.41 °C*m2 and 0.70 °C, respectively. (2) The average comprehensive service performance of 545 communities within 5, 10, and 15 min were 117.97 °C*m2, 212.04 °C*m2, and 264.83 °C*m2, respectively. (3) The spatial differences of UPCSP were mainly affected by the spatial layout of urban parks and their internal and external physical environments. These findings can provide useful implications for improving and balancing the UPCSP among communities.
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;