SAFE: A Comprehensive Data Visualization System

Mehmet Basdere (), Gabriel Caniglia (), Charles Collar (), Christian Rozolis (), George Chiampas (), Michael Nishi () and Karen Smilowitz ()
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Mehmet Basdere: Northwestern University, Evanston, Illinois 60208
Gabriel Caniglia: Northwestern University, Evanston, Illinois 60208
Charles Collar: Northwestern University, Evanston, Illinois 60208
Christian Rozolis: Northwestern University, Evanston, Illinois 60208
George Chiampas: Northwestern University, Evanston, Illinois 60208, Bank of America Chicago Marathon, Chicago, Illinois 60603
Michael Nishi: Bank of America Chicago Marathon, Chicago, Illinois 60603
Karen Smilowitz: Northwestern University, Evanston, Illinois 60208

Interfaces, 2019, vol. 49, issue 4, 249-261

Abstract: This paper describes Situational Awareness for Events (SAFE), a comprehensive data visualization system for mass-participation endurance events. Working in partnership with the Bank of America Chicago Marathon and the Chevron Houston Marathon, and their public safety partners, we developed SAFE to enhance logistics, medical preparedness, and response for mass-participation endurance events such as marathons. The system incorporates critical data into a user-friendly dashboard to serve as a centralized source of information during the events. SAFE uses historical and real-time data to provide pre-event and on-site analytics via descriptive, predictive, and prescriptive models. These models help race organizers and relevant stakeholders effectively manage and oversee all participants, monitor the dynamic location of race participants, and manage health and safety resources throughout the event. The system was deployed successfully at the Chicago Marathon (2014–2018), the Shamrock Shuffle (2014–2018), and the Houston Marathon (2016–2018).

Keywords: data analytics; simulation; situational awareness (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:49:y:2019:i:4:p:249-261

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