Hotspot Analysis of the Spatial and Temporal Distribution of Fires

Chien-Yuan Chen, Qi-Hua Yang

2018

Abstract

Fire can take lives and destroy structures. However, modern technology can assist authorities to make decisions on fire disaster prevention. Geographic information systems can play a vital role in fire prevention and mitigation by predicting potential hotspots for fires. This study collected and analysed data on fires in Tainan City in southern Taiwan. Spatial statistics analysis tools employing average nearest neighbour analysis and global analysis through Moran's I were used to analyse whether the fires had a clustered pattern and to plot a fire hotspot map using Getis-Ord Gi* analysis. The results showed that the highest fire risk index is that for people over 80 years old, followed by those between the ages of 60 and 80. The spatial distributions of fire locations, injuries, deaths, factory fires, house fires, and wild fires have clustered patterns in the city. The fire hotspots surround the downtown districts, which have high population density and highly developed commercial and industry areas. The fire cold spots are located in the lowly developed mountainous and coastal areas, which have lower population density. Residents in hotspots should be able to better understand their fire risk through studying the hotspot map. Moreover, authorities can identify hotspots for decision making on fire prevention and urban development planning.

Paper Citation

in Harvard Style

Chen C. and Yang Q. (2018). Hotspot Analysis of the Spatial and Temporal Distribution of Fires.In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-294-3, pages 15-21. DOI: 10.5220/0006638600150021

in Bibtex Style

@conference{gistam18,
author={Chien-Yuan Chen and Qi-Hua Yang},
title={Hotspot Analysis of the Spatial and Temporal Distribution of Fires},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2018},
pages={15-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006638600150021},
isbn={978-989-758-294-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Hotspot Analysis of the Spatial and Temporal Distribution of Fires
SN - 978-989-758-294-3
AU - Chen C.
AU - Yang Q.
PY - 2018
SP - 15
EP - 21
DO - 10.5220/0006638600150021