An Activity-Based Spatial–temporal Community Electricity Vulnerability Assessment Framework

Chen Xia, Yuqing Hu, Jianli Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The power system is among the most important critical infrastructures in urban cities and is getting increasingly essential in supporting people’s daily activities. However, it is also susceptible to most natural disasters such as tsunamis, floods, or earthquakes. Electricity vulnerability, therefore, forms a crucial basis for community resilience. This paper aims to present an assessment framework of spatial–temporal electricity vulnerability to support the building of community resilience against power outages. The framework includes vulnerability indexes in terms of occupant demographics, occupant activity patterns, and urban building characteristics. To integrate factors in these aspects, we also proposed a process as activity simulation-mapping-evaluation-visualization to apply the framework and visualize results. This framework can help planners make an effective first-time response by identifying the most vulnerable areas when a massive power outage happens during natural disasters. It can also be integrated into community resilience analysis models and potentially contributes to effective disaster risk management.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Building Energy and Environment
EditorsLiangzhu Leon Wang, Hua Ge, Mohamed Ouf, Zhiqiang John Zhai, Dahai Qi, Chanjuan Sun, Dengjia Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9789811998218
StatePublished - 2023
Event5th International Conference on Building Energy and Environment, COBEE 2022 - Montreal, Canada
Duration: Jul 25 2022Jul 29 2022

Publication series

NameEnvironmental Science and Engineering
ISSN (Print)1863-5520
ISSN (Electronic)1863-5539


Conference5th International Conference on Building Energy and Environment, COBEE 2022

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Information Systems

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