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 systemwas deployed successfully at the Chicago Marathon (2014-2018), the Shamrock Shuffle (2014-2018), and the Houston Marathon (2016-2018).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 249-261 |
| Number of pages | 13 |
| Journal | INFORMS Journal on Applied Analytics |
| Volume | 49 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2019 |
Funding
Funding: This research was supported by the National Science Foundation [Grants 1640736 PFI:AIR - TT (SAFE (Situational Awareness for Events): A Data Visualization System) and 1405231 GOALI (Im-proving Medical Preparedness, Public Safety and Security at Mass Events)]. This research was supported by the National Science Foundation [Grants 1640736 PFI:AIR - TT (SAFE (Situational Awareness for Events): A Data Visualization System) and 1405231 GOALI (Improving Medical Preparedness, Public Safety and Security at Mass Events)].
Keywords
- Data analytics
- Simulation
- Situational awareness
ASJC Scopus subject areas
- Management of Technology and Innovation
- Strategy and Management
- Management Science and Operations Research