Integrating Operational and Organizational Aspects in Interdependent Infrastructure Network Recovery

Managing risk in infrastructure systems implies dealing with interdependent physical networks and their relationships with the natural and societal contexts. Computational tools are often used to support operational decisions aimed at improving resilience, whereas economics‐related tools tend to be used to address broader societal and policy issues in infrastructure management. We propose an optimization‐based framework for infrastructure resilience analysis that incorporates organizational and socioeconomic aspects into operational problems, allowing to understand relationships between decisions at the policy level (e.g., regulation) and the technical level (e.g., optimal infrastructure restoration). We focus on three issues that arise when integrating such levels. First, optimal restoration strategies driven by financial and operational factors evolve differently compared to those driven by socioeconomic and humanitarian factors. Second, regulatory aspects have a significant impact on recovery dynamics (e.g., effective recovery is most challenging in societies with weak institutions and regulation, where individual interests may compromise societal well‐being). And third, the decision space (i.e., available actions) in postdisaster phases is strongly determined by predisaster decisions (e.g., resource allocation). The proposed optimization framework addresses these issues by using: (1) parametric analyses to test the influence of operational and socioeconomic factors on optimization outcomes, (2) regulatory constraints to model and assess the cost and benefit (for a variety of actors) of enforcing specific policy‐related conditions for the recovery process, and (3) sensitivity analyses to capture the effect of predisaster decisions on recovery. We illustrate our methodology with an example regarding the recovery of interdependent water, power, and gas networks in Shelby County, TN (USA), with exposure to natural hazards.     

Marital Status and Problem Gambling Among Australian Older Adults: The Mediating Role of Loneliness

Problem gambling rates in older adults have risen dramatically in recent years and require further investigation. Limited available research has suggested that social needs may motivate gambling and hence problem gambling in older adults. Un-partnered older adults may be at greater risk of problem gambling than those with a partner. The current study explored whether loneliness mediated the marital status–problem gambling relationship, and whether gender moderated the mediation model. It was hypothesised that the relationship between being un-partnered and higher levels of loneliness would be stronger for older men than older women. A community sample of Australian men (n = 92) and women (n = 91) gamblers aged from 60 to 90 years (M = 69.75, SD = 7.28) completed the UCLA Loneliness Scale and the Problem Gambling Severity Index. The results supported the moderated mediation model, with loneliness mediating the relationship between marital status and problem gambling for older men but not for older women. It appears that felt loneliness is an important predictor of problem gambling in older adults, and that meeting the social and emotional needs of un-partnered men is important.     

Afterschool programs that support homeless youth: igniting hope and opportunities in the midst of trauma,uncertainty, and displacement

Across the United States, many afterschool and out-of-school time programs are making constructive and lasting impacts on the lives of homeless children and youth by providing expanded learning opportunities and positive youth development outcomes in a safe space. In this brief, we profile two youth-serving organizations and the After School Division of the California Department of Education to illustrate how afterschool programs can be part of the solution for homeless children and youth. Staff from these organizations shared their practices, successes, challenges, and lessons learned. Most importantly, they shared a message of hope and a vision for what is possible in the midst of trauma, uncertainty, and displacement.     

Speaking Out: Youth Led Research as a Methodology Used with Homeless Youth

Participatory action research is well documented with marginalized groups, but less is known about participatory action research with homeless youth. The use of youth led research as a methodology was examined among a population of homeless youth. Peer researchers (n = 10) reported on their experience utilizing youth led research methodology. Results indicate that youth led research is a promising methodology for use among homeless youth. Participants reported that the approach positively impacted the quality and quantity of data that could be collected from participants. Further, peer researchers reported individual benefits of feeling that participating in the project mattered, that people listened to them and that they had a voice.     

The Political Economy of Moral Conflict: An Empirical Study of Learning and Law Enforcement Under Prohibition

The U.S. Prohibition experience shows a remarkable policy reversal. In only 14 years, a drastic shift in public opinion required two constitutional amendments. I develop and estimate a model of endogenous law enforcement, determined by beliefs about the Prohibition‐crime nexus and alcohol‐related moral views. In turn, the policy outcomes shape subsequent learning about Prohibition enforcement costs. I estimate the model through maximum likelihood on Prohibition Era city‐level data on police enforcement, crime, and alcohol‐related legislation. The model can account for the variation in public opinion changes, and the heterogeneous responses of law enforcement and violence across cities. Results show that a 15% increase in the homicide rate can be attributed to Prohibition enforcement. The subsequent learning‐driven adjustment of local law enforcement allowed for the alcohol market to rebound to 60% of its pre‐Prohibition size. I conclude with counterfactual exercises exploring the welfare implications of policy learning, prior beliefs, preference polarization, and alternative political environments. Results illustrate the importance of incorporating the endogenous nature of law enforcement into our understanding of policy failure and policy success.     

Exposure to Traffic and Risk of Hospitalization Due to Injuries

Research on the risk of motor vehicle injuries and their relationship with the amount of travel has been only partially analyzed. The few individual exposure assessments are related to very specific subsets of the driving and traveling populations. This study analyzes the relationship between kilometers traveled and hospitalization due to motor vehicle injuries. Twelve thousand three hundred and sixty nine Spanish university graduates from the Seguimiento Universidad de Navarra multipurpose cohort study were evaluated. They had not been hospitalized due to motor vehicle injuries at baseline and were followed up to eight years. Biannual questionnaires allowed for self‐reporting of kilometers traveled in motor vehicles, together with incidence of hospitalization. Covariates in the Cox regression models included age and gender and baseline use of safety belt while driving, driving a vehicle with driver‐side airbag, driving a motorcycle, and drinking and driving. There were 49,766 participant‐years with an average yearly travel of 7,828 km per person‐year. Thirty‐six subjects reported a first hospitalization event during this time. The adjusted hazard ratio per additional kilometer traveled was 1.00005 (95% confidence interval 1.000013 to 1.000086). Even the smallest of reductions in the amount of kilometers traveled (from an average of 3,250 km per year to 1,000) has a statistically significant protective effect on the likelihood of sustaining hospitalization due to motor vehicle injury (aHR 0.9, 95% CI 0.78 to 0.98). In light of current policies aimed to reduce motorized traffic due to environmental concerns, it may be appropriate to consider the additional health benefit related to reductions in injuries.     

Does the sectoral composition of growth affect child stunting reductions?

This article uses a natural experiment based on random and exogenous variations in temperature to examine whether the sectoral composition of growth has an effect on child stunting reductions. Agricultural growth is central to food security strategies in developing countries, as it is often considered the most effective way to fight (child) undernutrition. The evidence base to support the putative superior role of agricultural growth is, however, relatively weak, possibly because studies have ignored growth faltering. Accounting for the latter, we find that while both agricultural and non‐agricultural growth decrease stunting, agricultural growth is significantly superior to non‐agricultural growth in this regard. The estimated impacts are large, in that a 10% increase in agricultural GDP per capita reduces child stunting by 9.6% (as opposed to 8.4% for non‐agricultural).