中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Improing emergency evacuation planning with mobile phone location data
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Improing emergency evacuation planning with mobile phone location data
Yin, Ling; Chen, Jie; Zhang, Hao; Yang, Zhile; Wan, Qiao; Ning, Li; Hu, Jinxing; Yu, qi
2019
Source PublicationEnvironment and Planning B-Urban Analytics and City Science
Subtype期刊论文
AbstractTimely responses to emergencies are critical for urban disaster and emergency management, particularly in densely populated mega-cities. Researchers and personnel involved in urban emergency management nowadays rely on computers to carry out complex evacuation planning. Agent-based modeling, which supports the representation of interactions among individuals and between individuals and their environments, has become a major approach to simulating evacuations wherein spatial–temporal dynamics and individual conditions need attention, such as congestion in urban areas. However, the development of optimal evacuation plans based upon agent-based evacuation simulations can be very time-consuming. In this study, to shorten the computation time to provide a timely response in an efficient way, we develop a knowledge database to store evacuation plans for typical population distributions generated by mobile phone location data. Subsequently, we use the prepared knowledge database (offline) to accelerate real-time (online) processes in searching for near-optimal evacuation plans. Our experimental result demonstrates that the evacuation plans generated with a knowledge database always outperform those that are generated without a knowledge database. Specifically, the knowledge database can reduce the computation time by an average of 96.76%, with an average fitness value improvement of 21.86%. This result confirms the effectiveness of our proposed approach in improving agent-based evacuation planning. With the rapid development of human sensor data collection and analysis, the estimation of a more accurate population distribution will become easier in future. Thus, we believe that the proposed approach of developing a knowledge database based on population distribution patterns will provide a more feasible alternative solution for evacuation planning in the practice of urban emergency management.
Indexed BySSCI
Language英语
EI Accession Number高性能
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/15759
Collection数字所
Recommended Citation
GB/T 7714
Yin, Ling,Chen, Jie,Zhang, Hao,et al. Improing emergency evacuation planning with mobile phone location data[J]. Environment and Planning B-Urban Analytics and City Science,2019.
APA Yin, Ling.,Chen, Jie.,Zhang, Hao.,Yang, Zhile.,Wan, Qiao.,...&Yu, qi.(2019).Improing emergency evacuation planning with mobile phone location data.Environment and Planning B-Urban Analytics and City Science.
MLA Yin, Ling,et al."Improing emergency evacuation planning with mobile phone location data".Environment and Planning B-Urban Analytics and City Science (2019).
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