Research Article
Exploring Spatial Patterns of Emergency Call Behavior in a Metropolitan City of China
@INPROCEEDINGS{10.1007/978-3-031-23902-1_21, author={Ning Yuan and Bo Yang and Kun Fu and Lei Du and Pengfei Jiao and Lin Pan and Qiang Tian and Wenjun Wang}, title={Exploring Spatial Patterns of Emergency Call Behavior in a Metropolitan City of China}, proceedings={Mobile Multimedia Communications. 15th EAI International Conference, MobiMedia 2022, Virtual Event, July 22-24, 2022, Proceedings}, proceedings_a={MOBIMEDIA}, year={2023}, month={2}, keywords={Spatial pattern Emergency call Random walk model Human behavior simulation}, doi={10.1007/978-3-031-23902-1_21} }- Ning Yuan
Bo Yang
Kun Fu
Lei Du
Pengfei Jiao
Lin Pan
Qiang Tian
Wenjun Wang
Year: 2023
Exploring Spatial Patterns of Emergency Call Behavior in a Metropolitan City of China
MOBIMEDIA
Springer
DOI: 10.1007/978-3-031-23902-1_21
Abstract
Extensive analysis of human electronic footprints is of great importance for unveiling the patterns of collective reactions to extreme events. Several empirical results have been reported to reveal the influence of different scale events on human behavior using various social media datasets. But there is a lack of understanding of the patterns of emergency call behavior which is the direct evidence of unexpected events encountered by citizens. Here we explore the spatial patterns of emergency calls made by citizens in a metropolitan city in China. We find that there is strong randomness in the spatial conversion of emergency call behavior, the number of emergency calls made by an individual in a specific location of an incident follows a power-law distribution, and the spatial pattern of incident locations presents a bi-central aggregation feature. Then we propose an agent based model for the generation of incident location series. Our work has the potential value to help the government improve the efficiency of emergency management such as situation analysis, resource allocation and police deployment.
