Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-02T19:54:17.311Z Has data issue: false hasContentIssue false

Developing a Data Visualization System for the Bank of America Chicago Marathon (Chicago, Illinois USA)

Published online by Cambridge University Press:  05 August 2016

Taylor Hanken
Affiliation:
Northwestern University, Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Evanston, IllinoisUSA
Sam Young
Affiliation:
Northwestern University, Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Evanston, IllinoisUSA
Karen Smilowitz*
Affiliation:
Northwestern University, Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Evanston, IllinoisUSA
George Chiampas
Affiliation:
Departments of Emergency and Orthopedics, Feinberg School of Medicine, Northwestern University, Chicago, IllinoisUSA Bank of America Chicago Marathon and Shamrock Shuffle, Chicago, IllinoisUSA
David Waskowski
Affiliation:
Bank of America Chicago Marathon and Shamrock Shuffle, Chicago, IllinoisUSA
*
Correspondence: Karen Smilowitz, PhD Industrial Engineering and Management Sciences Northwestern University Technological Institute D239 2145 Sheridan Road Evanston, Illinois USA 60208-3119 Email: [email protected]

Abstract

As one of the largest marathons worldwide, the Bank of America Chicago Marathon (BACCM; Chicago, Illinois USA) accumulates high volumes of data. Race organizers and engaged agencies need the ability to access specific data in real-time. This report details a data visualization system designed for the Chicago Marathon and establishes key principles for event management data visualization. The data visualization system allows for efficient data communication among the organizing agencies of Chicago endurance events. Agencies can observe the progress of the race throughout the day and obtain needed information, such as the number and location of runners on the course and current weather conditions. Implementation of the system can reduce time-consuming, face-to-face interactions between involved agencies by having key data streams in one location, streamlining communications with the purpose of improving race logistics, as well as medical preparedness and response.

HankenT, YoungS, SmilowitzK, ChiampasG, WaskowskiD. Developing a Data Visualization System for the Bank of America Chicago Marathon (Chicago, Illinois USA). Prehosp Disaster Med. 2016;31(5):572–577.

Type
Case Reports
Copyright
© World Association for Disaster and Emergency Medicine 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Başdere, M, Ross, C, Chan, JL, Mehrotra, S, Smilowitz, K, Chiampas, G. Acute incident rapid response at a mass-gathering event through comprehensive planning systems: a case report from the 2013 Shamrock Shuffle. Prehosp Disaster Med. 2014;29(3):1-6.CrossRefGoogle Scholar
2. World Health Organization. Communicable disease alert and response for mass gatherings: key considerations. http://www.who.int/csr/Mass_gatherings2.pdf. Updated June 2008. Accessed July 17, 2015.Google Scholar
3. McCarthy, DM, Chiampas, GT, Malik, S, Cole, K, Lindeman, P, Adams, JG. Enhancing community disaster resilience through mass sporting events. Disaster Med Public Health Prep. 2011;5(4):310-315.Google Scholar
4. Stout, RJ, Cannon-Bowers, JA, Salas, E, Milanovich, DM. Planning, shared mental models, and coordinated performance: an empirical link is established. Hum Factors. 1999;41(1):61-71.Google Scholar
5. Chiampas, G, Jaworski, CA. Preparing for the surge: perspectives on marathon medical preparedness. Curr Sports Med Rep. 2009;8(3):131-135.Google Scholar
6. FEMA. Developing and Maintaining Emergency Operations Plans: Comprehensive Preparedness Guide (CPG) 101. November 2010, Version 2.0.Google Scholar