Emergency response systems require decision support tools that integrate data analytics with situational awareness. Existing tools often separate historical analysis from predictive modeling and dispatch planning. This dashboard integrates survival analysis-based incident prediction with interactive maps and statistical visualizations to enable comprehensive incident analysis and planning.
This paper presents a dashboard tool for analyzing and managing spatial-temporal incidents in emergency response systems. The work integrates incident prediction models with interactive visualization capabilities to help emergency managers analyze historical incident distributions and plan resource deployment.
The paper demonstrates the dashboard through a case study analyzing incidents from Nashville's emergency services. The system displays historical incident density, predicted future incident distributions, and enables exploration of depot effects on response times. The interactive tool successfully integrates incident prediction with spatial planning capabilities.
@inproceedings{Pettet2019,
author = {Pettet, Geoffrey and Mukhopadhyay, Ayan and Samal, Chinmaya and Dubey, Abhishek and Vorobeychik, Yevgeniy},
booktitle = {Proceedings of the 10th {ACM/IEEE} International Conference on Cyber-Physical Systems, {ICCPS} 2019, Montreal, QC, Canada},
title = {Incident management and analysis dashboard for fire departments: {ICCPS} demo},
year = {2019},
pages = {336--337},
abstract = {This work presents a dashboard tool that helps emergency responders analyze and manage spatial-temporal incidents like crime and traffic accidents. It uses state-of-the-art statistical models to learn incident probabilities based on factors such as prior incidents, time and weather. The dashboard can then present historic and predicted incident distributions. It also allows responders to analyze how moving or adding depots (stations for emergency responders) affects average response times, and can make dispatching recommendations based on heuristics. Broadly, it is a one-stop tool that helps responders visualize historical data as well as plan for and respond to incidents.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/iccps/PettetMSDV19},
category = {poster},
contribution = {lead},
doi = {10.1145/3302509.3313329},
file = {:Pettet2019-Incident_management_and_analysis_dashboard_for_fire_departments_ICCPS_demo.pdf:PDF},
keywords = {emergency management, incident analysis, prediction, dashboard, visualization, spatial-temporal data},
project = {smart-cities,smart-emergency-response},
tag = {incident},
timestamp = {Sun, 07 Apr 2019 16:25:36 +0200},
url = {https://doi.org/10.1145/3302509.3313329}
}