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Item Applying Crowd Risk Mitigation Technologies in Urban Sport Events: A Case Analysis of the Collegiate Football Event in Indianapolis, IN(Events and Tourism Institute at IUPUI, 2021-12) Weaver, Kennedy; Liu-Lastres, Becky; Tourism, Conventions, and Event Management, School of Health and Human SciencesIn recent years, the need for advanced precautions for mitigating the risks imposed by events, which involve high volumes of people in shared spaces, has multiplied. The occurrence of COVID-19 pandemic has further altered event practices, spaces, and event attendees’ mindsets in large-scale events. Proper crowd management not only seeks to prevent acts of violence and injury, but in today’s event environments; efforts should be consciously applied to reduce the spread of respiratory infections such as COVID-19. As the events industry continues to evolve and face new limitations, ways in which event organizers respond must evolve as well. Smartphone technologies are opening new ways for event organizers to communicate with and monitor attendees. This case study explores current crowd management strategies, analyzes the gaps in widely used models, and finally proposes event management technologies trending in the field.Item Flood Risk Management: Exploring the Impacts of the Community Rating System Program on Poverty and Income Inequality(2017) Noonan, Douglas S.; Sadiq, Abdul-Akeem A.Flooding remains a major problem for the United States, causing numerous deaths and damaging countless properties. To reduce the impact of flooding on communities, the U.S. government established the Community Rating System (CRS) in 1990 to reduce flood damages by incentivizing communities to engage in flood risk management initiatives that surpass those required by the National Flood Insurance Program. In return, communities enjoy discounted flood insurance premiums. Despite the fact that the CRS raises concerns about the potential for unevenly distributed impacts across different income groups, no study has examined the equity implications of the CRS. This study thus investigates the possibility of unintended consequences of the CRS by answering the question: What is the effect of the CRS on poverty and income inequality? Understanding the impacts of the CRS on poverty and income inequality is useful in fully assessing the unintended consequences of the CRS. The study estimates four fixed-effects regression models using a panel data set of neighborhood-level observations from 1970 to 2010. The results indicate that median incomes are lower in CRS communities, but rise in floodplains. Also, the CRS attracts poor residents, but relocates them away from floodplains. Additionally, the CRS attracts top earners, including in floodplains. Finally, the CRS encourages income inequality, but discourages income inequality in floodplains. A better understanding of these unintended consequences of the CRS on poverty and income inequality can help to improve the design and performance of the CRS and, ultimately, increase community resilience to flood disasters.