With the surge of human population, the need for transportation of goods and people also concomitantly increases, resulting in urban air pollution through emission from motorized traffic especially in developing countries. The extent of environmental pollution in an urban setting is significantly influenced by the pollutants of vehicular fuel combustion. Many effective measures are required in cities to sequester carbon thereby helping to reduce automobile pollution. Roadside greeneries can serve as ecological elements which reduce the concentration of pollutants from vehicular emissions by their direct involvement in absorbing vehicular emitted carbon. In this context, in this study an attempt has been taken to assess contribution of roadside greeneries in absorbing vehicular carbon dioxide emission. A case study has been conducted on arterial roads of mega city Dhaka to quantify the vehicular carbon emission and correlate it with roadside trees to absorb the emitted carbon dioxide. It is noted that in Dhaka city, carbon dioxide is accounted for more than ninety percent of air pollution. To achieve our goals, two busiest arterial roads (namely Mirpur Road and Rokeya Shoroni Road) were taken into account to quantify vehicular carbon emission as well as assess carbon absorption by roadside greeneries. Carbon absorption by different sizes of trees has been quantified using the amount of woody biomass. In addition, absorption by grass-shrubs-herbs has been quantified by the area they cover. The results thus obtained show that indeed the road with more side greeneries absorbs more vehicular emitted carbon dioxide. It is therefore evident that plantation of more roadside trees is an effective measure of reducing air pollution and consequently turning a city to become healthier and more suitable for living.
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.
This national study is an effort to measure transportation costs and affordability for the major Housing and Urban Development (HUD) housing assistance programs since the transportation costs are the second largest expense of American households. This study estimates transportation costs for 76,000 address level properties from seven major HUD-designated affordable housing programs. Our transportation cost models are tailored for low-income households and account for built environmental determinants of travel, known as D variables, at the disaggregated level. We found that more than 44% of these properties in 326 U.S. metropolitan areas are unaffordable in terms of transportation costs. That could result in a waste of over $37.9 billion HUD spends annually to run these programs and subsidize housing for low-income families while some of these families spend substantial amount of their income on transportation. Our findings suggest that the provision of subsidized housing in mixed use, and transit-served neighborhoods would help low-income households to reduce their transportation costs even in auto-oriented sprawling regions. This study concludes with policy recommendations to local and federal governments and transit agencies on ways to incorporate transportation parameters to ensure true affordability for low-income residents of subsidized housing.
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