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Description

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for

To address the dearth of knowledge about person-based and trip-level exposure, we developed the Icarus model. Icarus uses mesoscale traffic model—activity-based model—to analyze the heat exposure of regions of interest at an individual level. The goal with Icarus was to design accurate, granular models of population and temperature behavior for a target region, which could be transformed into a heat exposure model by means of simulation and spatial-temporal joining. By combining and implementing the most robust software and data available, Icarus was able to capture person-based exposure with unparalleled detail. Here we describe the model methodology. We use the metropolitan region of Phoenix, Arizona, USA to carry out a case study using Icarus.

ContributorsLi, Rui (Author) / Brownlee, Ben (Author) / Chester, Mikhail Vin (Author) / Hondula, David M. (Author) / Middel, Ariane (Author) / Michne, Austin (Author) / Watkins, Lance (Author)
Description
Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems,

Arizona State University's Spring 2022 Urban Infrastructure Anatomy course assessed infrastructure challenges for advanced logistics planning in Belmont, Arizona. The Belmont initiative has sought to examine how planning for future advanced logistics technologies and operations should serve as drivers for novel urban planning. The project teams focused on energy systems, transportation systems, agriculture, biomimicry, and heat mitigation.
ContributorsBhandari, Viraj (Contributor) / Mirtich, Laura Christine (Contributor) / Smith, Keegan (Contributor) / AlMarzouqi, Shaymaa (Contributor) / Avaula, Munieswar Reddy (Contributor) / Britton, Britnie (Contributor) / Changela, Meet Haresh (Contributor) / Subramanian, Praveen Raj Kumar (Contributor) / Tatiparthi, Jaya Dinesh Reddy (Contributor) / Pramod, Luke (Contributor) / Guglielmi, Giovanni (Contributor) / Myers, Andrew (Contributor) / Bonham, Emma Eileen (Contributor) / Majety, Naga Venkata Krishna Anjani Kumar (Contributor) / Sripathi, Siva Sai Praneeth (Contributor) / Schoneberger, Channing (Contributor) / Chester, Mikhail Vin (Contributor)
Created2022-06-01
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Description
A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and

A methodology is presented for synthetic water distribution networks that advances previous methods by Ahmad et al. 2022 (SyNF v1.0). The methodology describes the development changes for v1.1 of the model. This includes major updates to the handling of global variables, parameterization of water treatment plants (WTP) and tanks, and the inclusion of flexibility in handling different demand estimates. The model advancements were designed around true data for San Juan and Mayaguez (Puerto Rico), but are generalizable to other regions.
ContributorsSearles, Ian (Contributor) / Jain, Rajan (Contributor) / Chester, Mikhail Vin (Contributor)
Created2024-07-24
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Description

Agricultural and dairy work is among the most dangerous work in the US. In addition to the dangers of work, undocumented migrant workers may face additional stress as a result of the increase in antiimmigration enforcement and criminalization of undocumented status. The purpose of the study was to better understand

Agricultural and dairy work is among the most dangerous work in the US. In addition to the dangers of work, undocumented migrant workers may face additional stress as a result of the increase in antiimmigration enforcement and criminalization of undocumented status. The purpose of the study was to better understand how migrant dairy workers were impacted by the increase in restrictive immigration policies and immigration enforcement, as well as how they coped with any issues they faced. Interviews were conducted with fourteen migrant dairy workers following the passage of several anti-immigration bills across the US. Findings revealed four major categories; three were related to negative impacts of immigration policies and enforcement:

1. Fear.
2. Stress and anxiety.
3. Perceptions of discrimination.

An additional major category emerged that demonstrated the hope and resilience of participants in the face of an increasingly difficult socio-political environment. Implications for social service practice, policy, and research are discussed.

ContributorsBecerra, David (Author)
Created2020
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Description

The purpose of this paper was to examine the impact of perceived discrimination among Latino immigrants in the context of recent immigration policies and immigration enforcement strategies. Data for this study were drawn from a pilot study (n=213) of adult Latino immigrants living in Arizona during the summer of 2014.

The purpose of this paper was to examine the impact of perceived discrimination among Latino immigrants in the context of recent immigration policies and immigration enforcement strategies. Data for this study were drawn from a pilot study (n=213) of adult Latino immigrants living in Arizona during the summer of 2014. The results of multivariate OLS linear regressions indicated greater perceived discrimination was significantly related to reporting:

1. Avoidance of immigration officials.
2. Family has suffered.
3. Friends have suffered.

In addition, greater perceived discrimination was significantly related to lower confidence in a better future for the individual, their families, their children, and the children of today.

ContributorsBecerra, David (Author) / Castillo, Jason (Author) / Silva Arciniega, Maria Rosario (Author) / Ghosn Naddy, Michaela Bou (Author) / Nguyen, Van (Author)
Created2018
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Description

Latinas may be unlikely to report violent crime, particularly when undocumented. This research examines the impact of fear of deportation and trust in the procedural fairness of the justice system on willingness to report violent crime victimization among a sample of Latinas (N = 1,049) in the United States. Fear

Latinas may be unlikely to report violent crime, particularly when undocumented. This research examines the impact of fear of deportation and trust in the procedural fairness of the justice system on willingness to report violent crime victimization among a sample of Latinas (N = 1,049) in the United States. Fear of deportation was a significant predictor of Latinas perceptions of the procedural fairness of the criminal justice system. However, trust in the police is more important than fear of deportation in Latinas’ willingness to report violent crime victimization. Social workers can provide rights-based education and encourage relationship building between police and Latino communities.

ContributorsMessing, Jill (Author) / Becerra, David (Author) / Ward-Lasher, Allison (Author) / Androff, David (Author)
Created2015
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Description

This study examined the relationship between the fear of deportation and perceptions of law enforcement, the criminal justice system, and the willingness to report crimes among Latinos in the US. Understanding the relationship between increased immigration enforcement and fear of deportation may promote public safety by improving the relationship between

This study examined the relationship between the fear of deportation and perceptions of law enforcement, the criminal justice system, and the willingness to report crimes among Latinos in the US. Understanding the relationship between increased immigration enforcement and fear of deportation may promote public safety by improving the relationship between the police and Latino communities.

Multivariate ordinal logistic regression analyses of the data found that participants who had a greater fear of deportation reported:

1. Less confidence that police would not use excessive force (p<.01).
2. Less confidence that police would treat Latinos fairly (p<.05).
3. A lower likelihood of reporting crimes (p<.05).
4. Less confidence that the courts would treat Latinos fairly (p<.01).

ContributorsBecerra, David (Author) / Wagaman, M. Alex (Author) / Androff, David (Author) / Messing, Jill (Author) / Castillo, Jason (Author)
Created2017
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Description

This report examines how recent immigration policies and immigration enforcement strategies have impacted Latino immigrants in Arizona. Analyses examined the relationship between fear of deportation and the impact of immigration policies on various aspects of daily life of Latino immigrants as a result of US immigration policies. Results indicate that

This report examines how recent immigration policies and immigration enforcement strategies have impacted Latino immigrants in Arizona. Analyses examined the relationship between fear of deportation and the impact of immigration policies on various aspects of daily life of Latino immigrants as a result of US immigration policies. Results indicate that participants who reported a greater fear of deportation were also significantly more likely to report:

1. Trouble keeping a job.
2. Trouble finding a job.
3. Having been asked for immigration documents.
4. That friends have suffered.
5. That their family has suffered.
6. Lower confidence that police will treat Latino immigrants fairly.
7. Lower confidence that the courts will treat Latino immigrants fairly.
8. Lower confidence that they will have a better future.

Implications for social work practice, advocacy, and research are discussed.

ContributorsBecerra, David (Author)
Created2016
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Description

Syllabi from 16 Life Cycle Assessment courses across 14 U.S. universities were examined for content, structure, and opportunity for coordinated efforts into the future.

ContributorsSherman, Rachael (Author) / Delvinne, Hasini (Author) / Hartless, Justin (Author) / Chester, Mikhail Vin (Author)
Created2018-05-14
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Description

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,

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.

ContributorsLi, Rui (Author) / Vanos, Jennifer K. (Author) / Chester, Mikhail Vin (Author) / Middel, Ariane (Author) / Hernández-Cortés, Danae (Author) / Ira A. Fulton School of Engineering (Issuing body) / Arizona State University (Contributor)
Created2025-05