This research investigates the demographic and local government permit characteristics of communities with high levels of solar adoption in the San Diego Region. Utilizing a statistical model, this research illustrates which communities have been able to benefit from the current solar incentive programs in a robust market with an abundant solar resource. In San Diego, zip codes with large proportions of people over 65 have the highest correlation with high levels of residential solar adoption. This potentially illustrates that the life changes associated with retiring, including accumulated wealth, stable homeownership, and a fixed income, make residential solar systems accessible and appealing. Moving forward solar policy should expand to better facilitate installations for renters, sharing between neighbors, and clear pathways to retrofit older homes.

The urban waterfront areas of the United States have grown increasingly neglected and derelict due to changes in traditional industrial uses and their physical severance from the downtown core. A revived interest in urban living has brought downtown property values up, including waterfront areas, and has jump-started a movement towards waterfront revitalization. In an effort to understand the specific characteristics that make some waterfront revitalization projects more sustainable over time than others, this paper employed a case study approach. Baltimore’s Inner Harbor, San Francisco, and Seattle’s Central Waterfront were selected for analysis based on three specific perspectives: recreation; development; and tourism. Using criteria determined from the literature review in conjunction with key player interviews and documentary evidence, the three case study waterfronts were analyzed for their ability to sustain revitalization. The results indicate that waterfronts must provide a balance and mix of uses, assimilate with the surrounding city, provide connections between attractions and with the city and region, continuously reinvent themselves, provide attractions that draw both locals and tourists, and have a clear identity. These findings, while quite broad, are intended to provide a foundation that will be relevant to any city undertaking new waterfront revitalization projects.

Over the past twenty years bicycle use as a mode of transportation has grown considerably in the United States. Other studies have examined the individual bicyclist’s risk in proportion to the growth in cycling across cities, a phenomenon referred to as ‘safety in numbers.’ This study expands from that research and examines the effect of cyclists on road safety for all road users. The study examines the roles of bicycle modal split, a city wide analysis, and bicycle infrastructure, a site based analysis, in road safety outcomes. For the city based analysis, twenty years of crash data in 12 California cities were analyzed over a 20 year period. This study primarily used census data and State wide Integrated Traffic Records System (SWITRS) data. This study concludes that as bicycle modal split increases in a city, the traffic fatalities tend to decrease and the relationship is an exponential function. The site based analysis focuses on the effects of installing a bicycle lane on a street and examined its effect on injury crashes. 20 sites in San Francisco, CA that had bike lanes installed on them were compared to 25 control group sites, also in San Francisco, that did not have any bike lanes or other significant changes. An Empirical Bayes method of analysis was done to test its effects and determined that the effects were statistically significant.

Climate migration has been identified as an urgent issue that will likely add greater complexity to existing climate change planning efforts (Black, 2011; Ahsan, 2011). Existing climate migration literature has primarily focused on international migration and the Global South, offering limited applicability to internal conditions in developed countries due to the issue’s high context dependency (Hoffman, 2020). Local and municipal planners have a responsibility to pursue evidence-based climate adaptation strategies (Mitchell, 2020). Yet, planners lack reliable data to forecast potential changes to regional migration based on repeated exposure to climate stressors. To date, research has been primarily qualitative in nature, leaving a need for quantitative, spatial studies to detect larger patterns in comparison to survey and interview-based findings (Piguet et al., 2018). Within developed countries, research that integrates environmental factors into typical migration estimation methods used by community development and economic planners is needed to determine the extent that rapid environment change may alter existing migration trends. In beginning to address this gap, this study tests the relationship between wildfire displacement events (i.e. evacuation events) and household out-migration rates amid a host of competing socioeconomic factors for all western US counties during years 2016-2019. Wildfire displacement data from the Internal Displacement Monitoring Centre (IDMC) is combined with out-migration estimates from the IRS SOI program in a times series, then joined to cross-sectional census data on county demographics to form a panel dataset for investigation. Modeling results show an expected 1.5% decrease in household out-migration rates for county-years experiencing repeated wildfire displacement events in comparison to non-treatment county-years. These results suggest a potential lowering of mobility capacity or desire within impacted communities for areas experiencing repeated wildfire. Whether this is linked to impacts on economic resources, i.e. exaggeration of underlying vulnerabilities, or suppressed desire to move is unclear. Direct implications for planners depend on greater understanding of causality. The study suggests that climate-related wildfire migration in the US warrants continued research, especially with focus on equity implications of unequal access to migration as a method of climate adaptation.

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