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PRODID:-//University of Liverpool//University Events//EN
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UID:20260905T112030-82312-UniversityOfLiverpool
DTSTAMP:20260905T112030
DTSTART:20160509T120000
DTEND:20160509T130000
LOCATION:Lecture Theatre 2, South Teaching Hub, Chatham Street, Liverpool L69 7ZH
SUMMARY:Spatiotemporal Analyses of Urban Fires and Optimizing Fire Station Locations: An Initial Study on Smart Fire
DESCRIPTION:With Jing Yao,University of GlasgowFire and rescue services are one of the fundamental public services provided by government in order to protect people, properties and environment from fires and other disasters. Understanding spatiotemporal dynamics of fire incidents enables better fire risk estimation and thereby can assist with future allocation of prevention resources and strategic planning of mitigation programs. Data-intensive analyses and modelling in the era of big data has become an efficient way to approach Smart Fire. Using a 12-year (2002-2013) dataset, this research explores the spatiotemporal dynamics of urban fires in Nanjing, China, with a range of exploratory spatial data analysis (ESDA) approaches and tools. Based on the identified spatiotemporal distributions of fire incidents, spatial optimization models are developed to site the fire stations so that the urban residents can be provided with the best fire service coverage.
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