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A recent explosion of research on the travel behaviour of the millennial generation has found that compared to past generations they are taking longer to get a driving license, driving less, owning fewer cars and using transit more. Yet these findings are not universal with some countries seeing increases in driver licensing, little change in driving or reductions in public transport use. Most past research has explored wider social and economic explanations for these trends, such as income constraints and delays in adult life transitions. Very few studies have examined the role that local context plays in explaining the change (or the lack of change) in millennial travel behaviour. This paper aims to compare how trends in young adult travel behaviour differ across diverse city contexts. It uses a comparative descriptive analysis of household travel surveys from cities in three countries (UK, USA and Australia), focussing on auto-miles and transit-miles travelled. We find that each city experienced markedly different trends in young adult travel behaviour that are unlikely to be explained by economic differences alone. We suggest that changes to the transport systems in these cities are likely to be playing an under-recognised role in shaping travel behaviour. We suggest that further research should pay greater attention to the role of the transport system in supporting changes to travel behaviour among the next generation of young adults. • Explores travel behaviour of millennials in 6 areas of the UK, USA and Australia • Macroeconomic trends impact car use among millennials. • Some evidence life stage is impacting travel of millennials. • City investments in transit likely play an important role in these trends. [ABSTRACT FROM AUTHOR]

• Establish the validity and reliability of a measure of rider-to-rider discriminatory attitude. • Examine associations between such attitude and four aspects of ridesharing behavior. • Survey Uber and Lyft users (N = 2041) in the United States in 2016 and 2018. • Such attitudes reduce satisfaction with the ridesharing service. • Such attitudes may persistently discourage sharing. Using online survey data from N = 2041 Uber and Lyft users in the United States collected in 2016 and 2018, this paper establishes the validity, reliability, and invariance of a measure of rider-to-rider race and social class discrimination. This measure is then incorporated into three structural models that investigate associations between rider-to-rider discriminatory attitudes and four aspects of ridesharing behavior. We find no significant relationship between rider-to-rider discriminatory attitudes and whether a TNC user has ever used a ridesharing service (such as uberPOOL or Lyft Line). However, among those who have used ridesharing services before, rider-to-rider discriminatory attitudes are strongly negatively predictive of an individual's level of satisfaction with the sharing option, and marginally negatively predictive of an individual's percentage of shared TNC trips. Furthermore, among those who have not yet used ridesharing services, rider-to-rider discriminatory attitudes are strongly negatively predictive of willingness to consider using uberPOOL or Lyft Line in the future. Together, these findings suggest that rider-to-rider discriminatory attitudes may discourage sustained and frequent use of ridesharing services among TNC users. Further research is required to identify strategies for addressing discriminatory attitudes in the ridesharing context and overcoming reluctance to sharing. [ABSTRACT FROM AUTHOR]

Introduction: Communities That Care, refined and tested for more than 25years, offers a step-by-step coalition-based approach to promote well-being and prevent risk behaviors among youth. Communities That Care guides coalitions to identify and prioritize underlying risk and protective factors; set specific, measurable community goals; adopt tested, effective prevention programs to target selected factors; and implement chosen programs with fidelity. Communities That Care has been implemented in a variety of communities, but has only recently begun to be systematically evaluated in diverse, urban communities.Methods: This paper presents a process evaluation of Communities That Care implementation within a Midwestern ethnically diverse, urban community. In-depth surveys of 25 black male youth aged 8-14years and their caregivers were conducted to determine the degree to which coalition-selected priorities aligned with the experience of black families. Implementation and survey data were collected in 2014-2017 and analyzed in 2017-2018.Results: Roughly 30% of youth reported ever being bullied or bullying someone else on school property; this aligned with the coalition's decision to focus on positive social skills and bullying prevention. Additional data aligned with the coalition's intent to expand its community action plan to encompass other priorities, including family transitions and mobility. For example, roughly one third of caregivers went on welfare and one third of families moved to a new home or apartment in the past year.Conclusions: In communities whose residents have experienced historical and current inequities, an effective community prevention plan may need to address structural as well as social determinants of well-being among youth and their families.Supplement Information: This article is part of a supplement entitled African American Men's Health: Research, Practice, and Policy Implications, which is sponsored by the National Institutes of Health. [ABSTRACT FROM AUTHOR]

• The Grocery Store is a simulated online grocery store built for experimental purposes. • The store has 5,362 real foods with product information and nutrition scores. • Participants found the store intuitive and easy to navigate. • Gamification of The Grocery Store improves the nutritional quality of food choices. More households shop for groceries online than ever in the United States. Thus, changes in online grocery store environments can affect the nutritional quality of food choices on a large scale. In response, we built a simulated online grocery store for experimental purposes. This paper describes the development of an online grocery store that displays actual products, brands, sizes, prices, pictures, and ingredient lists sold in current online grocery stores in the United States. We ran a pilot study to evaluate this research tool by calculating adherence and accounting for participants' experiences. We assessed the impact of game elements (point scoring and a scoreboard) and different budgets on the nutritional quality of the food bundle in the final shopping baskets of participants (n = 654). Participants in the treatment group saw the nutritional quality rating system illustrated for each food item as 1 to 5 "crowns." Ordinary least square regressions compared the nutritional quality of the final shopping baskets between experimental groups. Participants who saw the game elements selected food bundles with 2.53 (CI 95% [0.72; 4.33], p = 0.006) more crowns in their final basket. Receiving a high budget ($50) increased the number of crowns by 2.78 (CI 95% [0.66;4.90], p = 0.010) compared to a low budget ($30). We found no significant interaction between the game intervention and budget level. Participants noted that the store was intuitive to navigate, had a high-quality interface, and easily found the products they often buy. The game elements encouraged shoppers to make healthier food choices. Our simulated grocery store can help researchers gain insight into online consumer behavior by testing interventions. [ABSTRACT FROM AUTHOR]

Abstract: Travel behavior researchers have long been interested in various factors influencing how individuals make transportation decisions. Research has shown that foreign born residents and recent immigrants to the US exhibit significantly different travel behavior than native born populations in the same regions. This paper expands on that existing research by examining the travel behavior data of 662 students from Brigham Young University (52.1% of whom have lived outside the United States for more than 60 consecutive days). First the paper identifies if an individual’s experience living abroad results in a change in travel behavior upon their return to the United States; second, if the foreign location where the experience was gained influences any behavioral change, and if so which regions of the world produce the greatest influence?; and third, if the duration of an individual’s residence abroad affects their travel behavior and transportation perceptions upon returning to the United States. The analysis revealed that individuals who have lived abroad do exhibit a significant change in travel behavior upon returning to the United States, and the continent where the individual lived does significantly affect their change in travel behavior. However it appears that this change in behavior upon their return to the United States may be a regression to the mean, manifested by individuals adopting travel behavior similar to the transportation culture of their domestic environment. The location and duration of foreign experience does not have a significant impact on the current travel behavior of the individuals represented in this sample. [Copyright &y& Elsevier]

This special issue contains 12 papers that report on new understanding of arsenic (As) hydrogeochemistry, performance of household well water treatment systems, and testing and treatment behaviors of well users in several states of the northeastern region of the United States and Nova Scotia, Canada. The responsibility to ensure water safety of private wells falls on well owners. In the U.S., 43 million Americans, mostly from rural areas, use private wells. In order to reduce As exposure in rural populations that rely on private wells for drinking water, risk assessment, which includes estimation of population at risk of exposure to As above the EPA Maximum Contaminant Level, is helpful but insufficient because it does not identify individual households at risk. Persistent optimistic bias among well owners against testing and barriers such as cost of treatment mean that a large percentage of the population will not act to reduce their exposure to harmful substances such as As. If households are in areas with known As occurrence, a potentially large percentage of well owners will remain unaware of their exposure. To ensure that everyone, including vulnerable populations such as low income families with children and pregnant women, is not exposed to arsenic in their drinking water, alternative action will be required and warrants further research. [ABSTRACT FROM AUTHOR]

Traumatic brain injury (TBI) is one of the largest health problems in the United States and affects both cognitive and motor function. Although weakness is common in TBI patients, few studies have demonstrated a reduction in strength in models of brain injury. We have developed a behavioral method to measure volitional forelimb strength and quantify forelimb weakness following traumatic brain injury. In this paper, we report the ability of the isometric pull task to measure both acute and chronic impairments in forelimb motor function following a controlled cortical impact (CCI) in rodents. Following CCI, volitional forelimb strength is reduced by 36% and remains significantly reduced after 6 weeks of post-lesion training. We also show that CCI results in impairment of multiple additional measures of forelimb function for several weeks post-injury. [ABSTRACT FROM AUTHOR]

In this paper we analyze the average hourly temporal dynamics of human mobility in the United States from 2019 to 2020. We discuss how large decreases in human mobility nonuniformly effect the daily temporal dynamics of aggregate human behavior. The data used are weekly activity patterns for POIs from 2019 to 2020 in the United States, provided by SafeGraph and made openly available to academic and research institutions. We use clustering methods to create metrics describing how human activity changes throughout the day/week at the county and national levels. In response to significant mobility reductions starting March 2020, daily temporal patterns of human activity changed nonuniformly. Morning activity started later, and evening activity started earlier in 2020 compared to 2019, and temporal behavioral patterns on weekdays began to look more similar to weekends. The changes in daily temporal behavior persisted throughout the year even as total mobility levels recovered. The results provide insights on the changes in human behavior in response covid-19 policies and illustrate influences on social systems, health, and transportation networks. [ABSTRACT FROM AUTHOR]

In response to the COVID-19 pandemic, a growing number of states, counties and cities in the United States issued mandatory stay-at-home orders as part of their efforts to slow down the spread of the virus. We argue that the consequences of this one-size-fits-all order will be differentially distributed among economic groups. In this paper, we examine social distance behavior changes for lower income populations. We conduct a comparative analysis of responses between lower-income and upper-income groups and assess their relative exposure to COVID-19 risks. Using a difference-in-difference-in-differences analysis of 3140 counties, we find social distance policy effect on the lower-income group is smaller than that of the upper-income group, by as much as 46% to 54%. Our explorations of the mechanisms behind the disparate effects suggest that for the work-related trips the stay-at-home orders do not significantly reduce low income work trips and this result is statistically significant. That is, the share of essential business defined by stay-at-home orders is significantly negatively correlated with income at county level. In the non-work-related trips, we find that both the lower-income and upper-income groups reduced visits to retail, recreation, grocery, and pharmacy visits after the stay-at-home order, with the upper-income group reducing trips more compared to lower-income group. [ABSTRACT FROM AUTHOR]

Abstract: There are numerous analytic and methodological limitations to current measures of drug market activity. This paper explores the structure of markets and individual user behavior to provide an integrated understanding of behavioral and economic (and market) aspects of illegal drug use with an aim toward developing improved procedures for measurement. This involves understanding the social processes that structure illegal distribution networks and drug users’ interactions with them. These networks are where and how social behaviors, prices, and markets for illegal drugs intersect. Our focus is upon getting an up close measurement of these activities. Building better measures of consumption behaviors necessitates building better rapport with subjects than typically achieved with one-time surveys in order to overcome withholding and underreporting and to get a comprehensive understanding of the processes involved. This can be achieved through repeated interviews and observations of behaviors. This paper also describes analytic advances that could be adopted to direct this inquiry including behavioral templates, and insights into the economic valuation of labor inputs and cash expenditures for various illegal drugs. Additionally, the paper makes recommendations to funding organizations for developing the mechanisms that would support behavioral scientists to weigh specimens and to collect small samples for laboratory analysis—by providing protection from the potential for arrest. The primary focus is upon U.S. markets. The implications for other countries are discussed. [Copyright &y& Elsevier]