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- Member of: Knowledge Exchange for Resilience Briefings Series
- Member of: Metis Center for Infrastructure and Sustainable Engineering
- Open Access: Open Access

According to the Centers for Disease Control and Prevention (CDC), more people die in the U.S. from heat than from all other natural disasters combined. According to the Environmental Protection Agency (EPA), more than 1,300 deaths per year in the United States are due to extreme heat. Arizona, California and Texas are the three states with the highest burden, accounting for 43% of all heat-related deaths according to the CDC.
Although only 5% of housing in Maricopa County, Arizona, is mobile homes, approximately 30% of indoor heat-related deaths occur in these homes. Thus, the residents of mobile homes in Maricopa County are disproportionately affected by heat. Mobile home residents are extremely exposed to heat due to the high density of mobile home parks, poor construction of dwellings, lack of vegetation, socio-demographic features and not being eligible to get utility and financial assistance.
We researched numerous solutions across different domains that could help build the heat resilience of mobile home residents. As a result we found 50 different solutions for diverse stakeholders, budgets and available resources. The goal of this toolbox is to present these solutions and to explain how to apply them in order to get the most optimal result and build About this Solutions Guide People who live in mobile homes are 6 to 8 times more likely to die of heat-associated deaths. heat resilience for mobile home residents. These solutions were designed as a coordinated set of actions for everyone — individual households, mobile home residents, mobile home park owners, cities and counties, private businesses and nonprofits serving mobile home parks, and other stakeholders — to be able to contribute to heat mitigation for mobile home residents.
When we invest in a collective, coordinated suite of solutions that are designed specifically to address the heat vulnerability of mobile homes residents, we can realize a resilience dividend in maintaining affordable, feasible, liveable housing for the 20 million Americans who choose mobile homes and manufactured housing as their place to live and thrive.

Provides eviction models emanating from COVID-19 for the greater Phoenix, Arizona area.

Describes the LIHEAP benefits distributed to electric utilities companies in Arizona for fiscal year 2019.

In the face of profound shock and change, individuals, organizations, and communities are seeking new ways to prepare for an uncertain future, their only certainty being that the present trajectory of change will intensify. Pandemics, wildfires, heat waves, hurricanes, flooding, social unrest, economic strife, and a rapidly changing climate system comprise a resounding wake up call: we must reinvent our institutions to think about and act with a resilient mindset. The purpose of the playbook is to support these efforts and build stronger, adaptive, and resilient communities.

Innovation studies provide a framework to reflect on potential solutions to reduce vulnerabilities to shock and stress. Solutions identified in the literature, empirical and theoretical, suggest a critical role is played by different types of innovation in the transition to more resilient and innovative communities. This paper examines the role of innovation for building community resilience.

This report describes study work and results of KER and AAMHO collaboration over 2022 following up with recommendations and future plans. It includes new data, research publications and media coverage that supported this work in collaboration between the university and community partners for resilience in Arizona.

Heat exposure for urban populations has become more prevalent as the temperature and duration of heat waves in cities increase. Occupational exposure to heat is a major concern for personal health, and excessive heat exposure can cause devastating outcomes. While occupational heat exposure studies have traditionally focused on environmental temperature, work intensity, and clothing, little is known about the daily exposure profile of workers, including their daily travel and working patterns. This study developed a novel measure of exposure and reprieve dynamics, the moving average hourly exposure (MAHE) to balance short-duration but high-exposure events and capture the inability to reprieve from exposure events. MAHE was assessed by combining an activity-based travel model (ABM) and the Occupational Requirement Survey to simulate urban workers' total daily heat exposure. The simulation considers daily travel, work schedules, and outdoor working frequency. The simulation was conducted for 1 million workers in Phoenix, Arizona, using Mean Radiant Temperature (MRT). The results show that 53% to 89% of workers in Phoenix's construction, agriculture, transportation, raw material extraction, and entertainment industries will likely experience MAHE over 38°C for at least an hour. These industries also have up to 34% of the laborers exposed to over 7 hours of continuous 38°C and above MAHE exposure. The location of the most intense heat exposure was identified near the downtown and central business districts, significantly different from the home locations of the workers in suburban and rural areas. Formulating the MAHE balances heat risk events with cooling benefits and aids in identifying individuals with prolonged high heat exposure.

Abstract:
Cascading failures across a network propagate localized issues to more broad and potentially unexpected failures in the network. In power networks, where load must be delivered in real-time by a generation source, network layout is an important part of cascading failure analysis. In lieu of real power network data protected for security reasons, we can use synthetic networks for academic purposes in developing a validating methodology. A contingency analysis technique is used to identify cascading failures, and this involves randomly selecting initial failure points in the network and observing how current violations propagate across the network. This process is repeated many times to understand the breadth of potential failures that may occur, and the observed trends in failure propagation are analyzed and compared to generate recommendations to prevent and adapt to failure. Emphasis is placed on power transmission networks where failures can be more catastrophic.
