On Effective Campus Attack Response: Insights from Agent-Based Simulation for Improving Emergency Information Sharing System Design and Response Strategy

Author:

Beattie Steven,Xi Jing Yang Sunny,Chan Wai Kin Victor

Abstract

AbstractInformation sharing systems are a critical component of emergency response—especially in campus attack situations that unfold very rapidly. The design of effective information sharing systems is often difficult, however, due to a lack of data on these assault events. This work takes an agent-based approach to simulate three campus emergency information sharing system design alternatives in the context of a college campus knife attack, and incorporates data from on-campus student surveys and parameter tuning experiments. Alternatives are evaluated according to: (1) improved student attack response outcomes; and (2) effective institutional response to the attack. The results confirm that increased awareness supports rapid emergency reporting, but an important gap exists between students’ awareness and their ability to respond effectively, which depends on a number of campus-specific factors. A strong positive impact is seen from safe and efficient information sharing with authorities. This impact depends largely on reporting system implementation qualities, as opposed to campus-specific factors. On a campus in China, WeChat was used as a basis for messaging models. The simulation results show a 9% drop in casualties and a 22% faster police response time from a text-based reporting system using “base” WeChat features instead of traditional phone reporting. Our results also project a 30% drop in casualties and 52% faster police response time using a system designed around a WeChat Mini Program or stand-alone campus emergency reporting app. These outcomes suggest a number of recommendations for improving outdated campus emergency information-sharing systems and response strategies.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Safety Research,Geography, Planning and Development,Global and Planetary Change

Reference22 articles.

1. Abedin, B., and A. Babar. 2018. Institutional vs. non-institutional use of social media during emergency response: A case of twitter in 2014 Australian bush fire. Information Systems Frontiers 20(4): 729–740.

2. Anklam, C., A. Kirby, F. Sharevski, and J.E. Dietz. 2015. Mitigating active shooter impact: Analysis for policy options based on agent/computer-based modeling. Journal of Emergency Management 13(3): 201–216.

3. Beattie, S., J.Y.S. Xi, and W.K.V. Chan. 2020. Evaluating aspects of WeChat use for information sharing during a campus attack event using agent-based simulation. Journal of Physics: Conference Series 1621(1): Article 012078.

4. Briggs, T.W., and W.G. Kennedy. 2016. Active shooter: An agent-based model of unarmed resistance. Proceedings of the 2016 Winter Simulation Conference, 11–14 December 2016, Arlington, VA, USA, 3521–3531.

5. Campus Safety Magazine. 2019. 2019 video surveillance survey: Campus cameras more popular than ever. https://www.campussafetymagazine.com/research/2019-video-surveillance-survey/. Accessed 1 Sept 2021.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3