This study examines the relationship between street-level urban design perceptual qualities and walking behavior in the City of Dallas. While the city has the potential to experience growth in pedestrian activities, it exhibits a very low level of walking activity, placing it as one of the least walkable cities in the nation. To assess the impact of urban design qualities on walkability, we collected data on 23 features related to urban design, 11 built environment variables characterized as D variables comprising diversity, density, design, distance to transit, and destination accessibility. The sample included 402 street block faces in Dallas Downtown Improvement District. Accounting for spatial autocorrelation, we found that two urban design qualities, among five, including image-ability—such as a memorable quality of a place, and transparency—as to what degree people can see beyond the street’s edge—significantly influence pedestrian volume in downtown streets. These findings are in agreement with the two previous studies that used the same methodology in different cities (New York City, NYC and Salt Lake City, UT). According to the findings of these three studies, the other urban design qualities including human scale, complexity, as well as enclosure, are not playing a significant role in walkability, despite the theoretical justification and the extensive operationalization efforts. The findings of this study draw policy makers’ attention to creating more appealing and walkable places through the implementation of these urban design qualities.
Transportation costs are the second largest expenditure for a family, thus have a substantial influence on housing affordability. In an auto-oriented region like DFW, the situation is exacerbated for low-income families due to limited transportation options. This study seeks to evaluate the efficiency of major affordable housing programs for low-income people in terms of transportation affordability. This study uses a rigorous methodology that involves a solid transportation cost modeling with disaggregated data available at property level for housing assistance programs in DFW. Our findings show that about 69% of the assisted units in DFW are unaffordable in terms of transportation costs. The majority of them are spending about 17% to 20% of their income on transportation. The most affordable program is Low-Income Housing Tax Credit with 58% affordability rate and the least affordable program is the Continuum of Care with 9% affordability rate when accounting for transportation costs. We also found that almost all affordable units (regarding the transportation costs) are located in main economic hubs of the region such as Dallas and Fort Worth which have better access to jobs and public transit. In contrary, almost all housing properties in the areas between Dallas and Fort Worth are unaffordable. These are areas adjacent to the University of Texas at Arlington with a high number of transit dependent population and in Arlington, the biggest midsize city with no public transit. Our findings urge HUD to consider modifying these programs by incorporating the location-efficiency factors to ensure true affordability.
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