Related Experiment Video
Updated: Jul 12, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
A jolt to the system: Quantifying disaster impact and return to routine using citizen-generated calls for service
Caroline S Hackerott1, David M Neal2
1Department of Emergency Management, North Dakota State University, Fargo, North Dakota. ORCID: https://orcid.org/0000-0002-9654-5720.
Citizen-generated 9-1-1 calls reveal disaster impact. Time series analysis of calls for service (CFS) shows rhythm changes indicating event magnitude and system recovery, offering a new disaster measurement tool.
Area of Science:
- Emergency response and disaster management
- Time series analysis and data science
- Sociology and social systems analysis
Background:
- Citizen-generated 9-1-1 calls are a primary communication channel during emergencies.
- Understanding disaster impact and recovery is crucial for effective emergency management.
- Existing methods for measuring disaster impact may not fully capture system-level disruptions.
Purpose of the Study:
- To compare the effect of different incident types on 9-1-1 call volume.
- To determine if changes in 9-1-1 call numbers indicate a measurable disruption in expected call patterns.
- To establish the value of time series analysis for measuring disaster impact and system recovery.
Main Methods:
- Utilized time series analysis on citizen-generated 9-1-1 call data.
- Analyzed changes in the normal rhythm of calls for service (CFS) to identify event-related deviations.
- Applied methodology to secondary data within the framework of social routine.
Main Results:
- Changes in the normal rhythm of CFS are a measurable indicator of disaster events.
- CFS data can potentially quantify the magnitude of disaster impact on a system.
- The methodology can also track system recovery by analyzing the reestablishment of normal call rhythms.
Conclusions:
- Time series analysis of 9-1-1 calls provides a valuable tool for assessing disaster impact.
- CFS data offers insights into the 'jolt' or disruption experienced by a system during an event.
- The same analytical approach can monitor the progression of system recovery and restabilization.
Related Concept Videos
Applications of GIS: Disaster Management and Emergency Response
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Responses to Drought and Flooding
Steps in Outbreak Investigation
Types of Reports II: Incident or Occurrence Report
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Manipulation and Analysis

