Beyond the provision of affordable housing itself, planners and policymakers have raised concerns... more Beyond the provision of affordable housing itself, planners and policymakers have raised concerns as to whether subsidized housing developments provide “suitable living environments” for the nation's poor. Despite numerous concerns regarding unfavorable living environments and the neighborhood context of subsidized housing, we have limited understanding as to whether built environments around subsidized housing ensure pedestrian safety. This study addressed this gap by examining how built environments around Low Income Housing Tax Credit (LIHTC) sites affect pedestrian-vehicle crashes in Austin, Texas. We employed the two-level negative binomial regression to clarify the impacts of street segment-level and neighborhood-level built environments on pedestrian crashes around LIHTC complexes. We found that higher speed roads, traffic-generating land uses, higher transit stop densities, and higher four-or-more-leg intersection densities may hinder pedestrian safety. Conversely, local roads as well as single family residential parcels and connected sidewalks along street segments may enhance pedestrian safety around LIHTC complexes. Our results may inform planners and policymakers on how to enhance pedestrian safety for subsidized housing by modifying surrounding environments and how to provide better site selection considerations for subsidized housing to ensure pedestrian safety.
Compared to the traditional public housing program, the Low-Income Housing Tax Credit (LIHTC) pro... more Compared to the traditional public housing program, the Low-Income Housing Tax Credit (LIHTC) program has been regarded as a better tool to ensure the quality of housing structure for subsidized households and the mixing of incomes in neighborhoods. Previous studies related to LIHTC developments have solely focused on the relationships between subsidized households and socioeconomic environments, such as income, race, poverty, etc. Beyond the socioeconomic environments where subsidized households are located, there is a limited understanding about whether subsidized households experience healthier natural environments in their neighborhoods. This study aims to investigate whether LIHTC-subsidized housing neighborhoods provide adequate natural environments to the subsidized households in Austin, Texas, compared to the public housing households. We employ comparison t-tests and binomial logistic regression models. The results show that LIHTC households are significantly exposed to unhealthy natural environmental settings such as a lack of green vegetation and steep slopes while no statistical evidence is reported for public housing neighborhoods. Findings from this study may help policymakers and planners improve their understanding of whether subsidized housing developments offer better natural environments for disadvantaged populations and help them develop effective environmental intervention strategies to improve the quality of life of subsidized households.
Promoting walking travel is considered important for reducing automobile use and improving public... more Promoting walking travel is considered important for reducing automobile use and improving public health. Recent U.S. transportation policy has incentivized investments in alternative, more sustainable transportation modes such as walking, bicycling and transit in auto-oriented cities such as Los Angeles. Although many past studies have analyzed changes in walking travel across the U.S., there is little clarity on the drivers of change. We address this gap by conducting a longitudinal analysis of walking travel in the greater Los Angeles area from 2001 to 2009. We use travel diary and household data from regional and national surveys to analyze changes in walking trip shares and rates across our study area. Results show that walking has significantly increased across most of Los Angeles, and that increases in walking trips generally correspond with increases in population, employment, and transit service densities. Estimates from fixed-effects regression analysis generally suggest a positive association between population density and walking, and that higher increases in transit stop density are correlated with increased walking trips to and from transit stops. These findings illustrate how regional planning efforts to pursue a coordinated land use-transit planning strategy can help promote walking in auto-oriented or vehicle adopting cities.
This article investigates the impact of neighborhood walkability, measured by Street Smart Walk S... more This article investigates the impact of neighborhood walkability, measured by Street Smart Walk Score and sidewalk density, on property values by analyzing the 2010–2012 single-family home sale transactions in Austin, Texas. The Cliff-Ord spatial hedonic model (also known as the General Spatial Model, or SAC) is used to control for spatial autocorrelation effects. Results show that improving walkability through increased access to amenities in car-dependent neighborhoods does not appear to increase property values; adding sidewalks in these neighborhoods leads to a minimal increase in property values. Investments in neighborhood amenities and sidewalks will yield a greater home price increase in a walkable neighborhood than in a car-dependent neighborhood.
Beyond the provision of affordable housing itself, planners and policymakers have raised concerns... more Beyond the provision of affordable housing itself, planners and policymakers have raised concerns as to whether subsidized housing developments provide “suitable living environments” for the nation's poor. Despite numerous concerns regarding unfavorable living environments and the neighborhood context of subsidized housing, we have limited understanding as to whether built environments around subsidized housing ensure pedestrian safety. This study addressed this gap by examining how built environments around Low Income Housing Tax Credit (LIHTC) sites affect pedestrian-vehicle crashes in Austin, Texas. We employed the two-level negative binomial regression to clarify the impacts of street segment-level and neighborhood-level built environments on pedestrian crashes around LIHTC complexes. We found that higher speed roads, traffic-generating land uses, higher transit stop densities, and higher four-or-more-leg intersection densities may hinder pedestrian safety. Conversely, local roads as well as single family residential parcels and connected sidewalks along street segments may enhance pedestrian safety around LIHTC complexes. Our results may inform planners and policymakers on how to enhance pedestrian safety for subsidized housing by modifying surrounding environments and how to provide better site selection considerations for subsidized housing to ensure pedestrian safety.
Compared to the traditional public housing program, the Low-Income Housing Tax Credit (LIHTC) pro... more Compared to the traditional public housing program, the Low-Income Housing Tax Credit (LIHTC) program has been regarded as a better tool to ensure the quality of housing structure for subsidized households and the mixing of incomes in neighborhoods. Previous studies related to LIHTC developments have solely focused on the relationships between subsidized households and socioeconomic environments, such as income, race, poverty, etc. Beyond the socioeconomic environments where subsidized households are located, there is a limited understanding about whether subsidized households experience healthier natural environments in their neighborhoods. This study aims to investigate whether LIHTC-subsidized housing neighborhoods provide adequate natural environments to the subsidized households in Austin, Texas, compared to the public housing households. We employ comparison t-tests and binomial logistic regression models. The results show that LIHTC households are significantly exposed to unhealthy natural environmental settings such as a lack of green vegetation and steep slopes while no statistical evidence is reported for public housing neighborhoods. Findings from this study may help policymakers and planners improve their understanding of whether subsidized housing developments offer better natural environments for disadvantaged populations and help them develop effective environmental intervention strategies to improve the quality of life of subsidized households.
Promoting walking travel is considered important for reducing automobile use and improving public... more Promoting walking travel is considered important for reducing automobile use and improving public health. Recent U.S. transportation policy has incentivized investments in alternative, more sustainable transportation modes such as walking, bicycling and transit in auto-oriented cities such as Los Angeles. Although many past studies have analyzed changes in walking travel across the U.S., there is little clarity on the drivers of change. We address this gap by conducting a longitudinal analysis of walking travel in the greater Los Angeles area from 2001 to 2009. We use travel diary and household data from regional and national surveys to analyze changes in walking trip shares and rates across our study area. Results show that walking has significantly increased across most of Los Angeles, and that increases in walking trips generally correspond with increases in population, employment, and transit service densities. Estimates from fixed-effects regression analysis generally suggest a positive association between population density and walking, and that higher increases in transit stop density are correlated with increased walking trips to and from transit stops. These findings illustrate how regional planning efforts to pursue a coordinated land use-transit planning strategy can help promote walking in auto-oriented or vehicle adopting cities.
This article investigates the impact of neighborhood walkability, measured by Street Smart Walk S... more This article investigates the impact of neighborhood walkability, measured by Street Smart Walk Score and sidewalk density, on property values by analyzing the 2010–2012 single-family home sale transactions in Austin, Texas. The Cliff-Ord spatial hedonic model (also known as the General Spatial Model, or SAC) is used to control for spatial autocorrelation effects. Results show that improving walkability through increased access to amenities in car-dependent neighborhoods does not appear to increase property values; adding sidewalks in these neighborhoods leads to a minimal increase in property values. Investments in neighborhood amenities and sidewalks will yield a greater home price increase in a walkable neighborhood than in a car-dependent neighborhood.
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