SAFE: A Comprehensive Data Visualization System
SAFE: A Comprehensive Data Visualization System
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DOI：
10.1287/inte.2019.0989
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发表时间：
2019-07-01
影响因子：
1.4
通讯作者：
Smilowitz, Karen
中科院分区：
文献类型：
--
作者：
Basdere, Mehmet;Caniglia, Gabriel;Smilowitz, Karen
本文介绍了事件态势感知（SAFE），这是一种针对大众参与耐力赛事的综合数据可视化系统。我们与美国银行芝加哥马拉松赛和雪佛龙休斯敦马拉松赛及其公共安全合作伙伴合作，开发了 SAFE，以加强马拉松等大众参与耐力赛事的物流、医疗准备和响应。该系统将关键数据合并到用户友好的仪表板中，作为事件期间的集中信息源。 SAFE 使用历史和实时数据通过描述性、预测性和规范性模型提供事件前和现场分析。这些模型帮助赛事组织者和相关利益相关者有效地管理和监督所有参与者，监控赛事参与者的动态位置，并在整个赛事过程中管理健康和安全资源。该系统已在芝加哥马拉松赛（2014-2018年）、三叶草洗牌赛（2014-2018年）和休斯敦马拉松赛（2016-2018年）上成功部署。
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).