Daily weather conditions for an entire city are usually represented by a single weather station, often located at a nearby airport. This resolution of atmospheric data fails to recognize the microscale climatic variability associated with land use decisions across and within urban neighborhoods. This study uses heat index, a measure of the combined effects of temperature and humidity, to assess the variability of heat exposure from ten weather stations across four urban neighborhoods and two control locations (downtown and in a nearby nature center) in Knoxville, Tennessee, USA. Results suggest that trees may negate a portion of excess urban heat, but are also associated with greater humidity. As a result, the heat index of locations with more trees is significantly higher than downtown and areas with fewer trees. Trees may also reduce heat stress by shading individuals from incoming radiation, though this is not considered in this study. Greater amounts of impervious surfaces correspond with reduced evapotranspiration and greater runoff, in terms of overall mass balance, leading to a higher temperature, but lower relative humidity. Heat index and relative humidity were found to significantly vary between locations with different tree cover and neighborhood characteristics for the full study time period as well as for the top 10% of heat index days. This work demonstrates the need for high-resolution climate data and the use of additional measures beyond temperature to understand urban neighborhood exposure to extreme heat, and expresses the importance of considering vulnerability differences among residents when analyzing neighborhood-scale impacts.

Seasonal water insecurity is a social and climate-related problem of growing concern in many urban areas. From 2000 to 2050, the global urban population affected by seasonal water shortage is projected to increase from 312 million to 1.3 billion. This increase is due to a combination of drivers, including population growth, urbanization, and climate change. To advance understanding of the social dimensions of this problem, this study uses qualitative methods—archival research, informal interviews (N = 7), and in-depth interviews (N = 15)—to explore how gender and assets relate to water insecurity in the rainy and dry seasons in three urban neighborhoods in Baguio City, the Philippines. Analytic methods include memo production and qualitative text analysis. Key findings are that households manage complex water portfolios that change seasonally or more frequently; women and men have gendered roles in managing water portfolios, providing versus managing income for water purchases, and physically carrying water; and particular assets (specific physical, financial, and social capitals) seem to matter for reducing seasonal water insecurity, in ways that may be gendered as well. Implications for more gender-sensitive and asset-focused research and policy are discussed.

This study examines savings outcomes in the first large-scale demonstration of Child Development Accounts (CDAs) in the United States-the Saving for Education, Entrepreneurship, and Downpayment (SEED) initiative. It is also the first empirical study, to our knowledge, to investigate associations between savings outcomes and incentives in an asset-building program for children. This study enhances knowledge about saving in CDAs, incentives in public policy in general, and incentives in savings policy in particular. Results can inform CDA policy design.

Nocturnal tornadoes are a public health threat, over twice as likely to have fatalities as tornadoes during the day. While tornado warning receipt is an important factor in models of individual behavioral response, receipt of warnings at night has not been studied in the literature to date. This study uses survey data from a random sample of Tennessee residents (N = 1804) who were randomly assigned to day or night versions of a near-identical survey instrument. Bivariate and logistic regression analyses compare chance of warning receipt, warning sources, and predictors of warning receipt for day versus night scenarios of a tornadic event. Over 80% of participants asked about a daytime tornado said there was a high/very high chance of receiving the warning, compared to fewer than 50% of participants asked about a nighttime event. Whereas demographic and cognitive factors helped predict tornado warning receipt during the day, cognitive and geographic factors were salient for the night. Perceived county risk and prior experience with a tornado were positively associated with chance of nighttime receipt, while belief that luck is an important factor in surviving a tornado and living in east (compared to west) Tennessee were negatively associated. Future research should consider partnering with the National Weather Service, emergency managers, and local media to increase the likelihood that people will receive tornado warnings at night and to better understand the role that cognitive factors and particular beliefs play in individual efforts to ensure that warnings are received.