{"title":"Social vulnerability analysis of planned power outages: A spatial study of power outage in California caused by wildfire risk","authors":"Weiwei Xie, Qingmin Meng","doi":"10.1016/j.scs.2025.106163","DOIUrl":null,"url":null,"abstract":"<div><div>Public safety power shutoff (PSPS) has become an effective and commonly utilized strategy for mitigation of wildfire threats to safe operations of power systems. PSPS aims to cut down the supply of electricity for one area that has high wildfire risks to avoid the occurrence of fires sparked by power devices. However, vulnerable populations who depend on the availability of electricity have been ignored when PSPS decisions were made. To bridge this gap, this paper conducts a comprehensive social vulnerability analysis of the planned power outages in California, where diverse social factors including socioeconomic status, race and gender, community and neighborhood, and health, are considered. In addition to the traditional hierarchical and inductive social vulnerability index (SVI) methods, this study further employs a PCA-AHP (integrated principal component analysis and analytical hierarchical process) SVI method, incorporating expert knowledge in the computation of overall SVI, because people with health issues are suggested to be more vulnerable during the loss of electricity period. The results reveal spatial patterns of vulnerable social groups in historically impacted PSPS areas and suggest that PCA-AHP is a more informed and equitable PSPS decision-making process by integrating social vulnerability analysis, mitigating wildfire risks, and protecting the safety of power systems.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"120 ","pages":"Article 106163"},"PeriodicalIF":10.5000,"publicationDate":"2025-01-22","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/S2210670725000411","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
Public safety power shutoff (PSPS) has become an effective and commonly utilized strategy for mitigation of wildfire threats to safe operations of power systems. PSPS aims to cut down the supply of electricity for one area that has high wildfire risks to avoid the occurrence of fires sparked by power devices. However, vulnerable populations who depend on the availability of electricity have been ignored when PSPS decisions were made. To bridge this gap, this paper conducts a comprehensive social vulnerability analysis of the planned power outages in California, where diverse social factors including socioeconomic status, race and gender, community and neighborhood, and health, are considered. In addition to the traditional hierarchical and inductive social vulnerability index (SVI) methods, this study further employs a PCA-AHP (integrated principal component analysis and analytical hierarchical process) SVI method, incorporating expert knowledge in the computation of overall SVI, because people with health issues are suggested to be more vulnerable during the loss of electricity period. The results reveal spatial patterns of vulnerable social groups in historically impacted PSPS areas and suggest that PCA-AHP is a more informed and equitable PSPS decision-making process by integrating social vulnerability analysis, mitigating wildfire risks, and protecting the safety of power systems.
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;