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Ardeshir Anjomani
College of Architecture, Planning and Public Affairs, University of Texas at Arlington, Arlington, TX 76019, USA

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Journal article
Published: 18 March 2021 in Sustainability
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This study investigates changes in population density in 454 block groups within a one-mile buffer around rail transit stations (the study area) in the Dallas-Fort Worth (DFW) metropolitan area. The research uses three analysis approaches to explore a correlation between proximity to rail stations and population density changes. Changes in population density between 2000 and 2014 are calculated. Changes in population density in the study area are compared to the remainder of the block groups within the four counties served by the same rail transit systems. An innovative approach is employed to select the best regression model using the data of the study area. A relationship between the independent variables and the changes in population density is formulated. The proximity of block groups in the study area to the nearby highway ramps or city centers is also investigated during the study period. Results show that it has a positive impact on population density. Changes in population density within the block groups located beyond the one-mile buffer, especially toward outlying areas, are greater than those within the one-mile buffer. Unexpectedly, it is found that an increase in the percentage of employed and white residents leads to an increase in population density. Other interesting results show that the number of jobs is in inverse proportion to the population density. However, block groups that are developed as part of transit-oriented development (TOD) are dramatically higher in population density than the other block groups. These results represent a beneficial contribution to the field of urban planning. Urban planners and policymakers can also use the findings to adopt specific policies for increasing density, advancing rail transit systems’ success, increasing transit usage, and sustaining station area development.

ACS Style

Saad AlQuhtani; Ardeshir Anjomani. Do Rail Transit Stations Affect the Population Density Changes around Them? The Case of Dallas-Fort Worth Metropolitan Area. Sustainability 2021, 13, 3355 .

AMA Style

Saad AlQuhtani, Ardeshir Anjomani. Do Rail Transit Stations Affect the Population Density Changes around Them? The Case of Dallas-Fort Worth Metropolitan Area. Sustainability. 2021; 13 (6):3355.

Chicago/Turabian Style

Saad AlQuhtani; Ardeshir Anjomani. 2021. "Do Rail Transit Stations Affect the Population Density Changes around Them? The Case of Dallas-Fort Worth Metropolitan Area." Sustainability 13, no. 6: 3355.

Journal article
Published: 05 January 2021 in Journal of Transport and Land Use
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Over the last several decades, land-use/transport interaction models have evolved. Although these models have the potential to become primary demographic forecasting and planning vehicles in metropolitan transportation planning for most large US urban regions, some gaps and improvements must be addressed. This paper briefly discusses a newly developed and refined integrated land-use/transportation model. It also introduces innovative approaches to modeling an urban area including a variant of a geographic information system-based land-use and environmental suitability analysis, as main components in deriving development potential for a small-cell grid of the study region. This approach enables the inclusion of public and stakeholder input into the modeling process, facilitates micro-level consideration of trip generation, trip distribution, and mode-choice inside the land-use demographic model, thus furthering the integration of transportation and land use in the modeling process. Such considerations and utilization of rule-based approaches and concerns of economic development and environmental and sustainability factors help close some existing gaps of operational models designed for real world practical applications. All of these features contribute toward further improvement of these models.

ACS Style

Ardeshir Anjomani. An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system. Journal of Transport and Land Use 2021, 14, 65 -86.

AMA Style

Ardeshir Anjomani. An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system. Journal of Transport and Land Use. 2021; 14 (1):65-86.

Chicago/Turabian Style

Ardeshir Anjomani. 2021. "An integrated land-use/transportation forecasting and planning model: A metropolitan planning support system." Journal of Transport and Land Use 14, no. 1: 65-86.

Journal article
Published: 27 August 2019 in Economies
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U.S. cities have invested large amounts of sums on public transit and urban rail in the last few decades, but the transit usage in most of these car-oriented cities is very low, and previous efforts to increase ridership have been mostly fruitless. This research examines the factors affecting transit ridership in a large car-oriented metropolitan setting and uses the Dallas region in the United States as a case for the study to identify factors that could help in increasing ridership. Most previous studies of transit ridership have not included many of the variables thought to influence transit ridership. Therefore, the disparities among the findings of empirical research completed to date point to the necessity for further study. This study addresses these shortcomings by exploring multiple factors, measuring population, technology, geography, and socioeconomic characteristics.

ACS Style

Ahmed Daqrouq; Ardeshir Anjomani. Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region. Economies 2019, 7, 86 .

AMA Style

Ahmed Daqrouq, Ardeshir Anjomani. Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region. Economies. 2019; 7 (3):86.

Chicago/Turabian Style

Ahmed Daqrouq; Ardeshir Anjomani. 2019. "Public Transit Ridership and Car-Oriented Cities: The Case of the Dallas Region." Economies 7, no. 3: 86.

Journal article
Published: 03 July 2019 in Journal of Transport Geography
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Dependency on the automobile in the United States has been associated with many urban problems. As a result, many American cities have seen a rebound in public transportation systems—many of whom have built modern rail transit systems. This resurgence of rail transit systems has caused apparent shifts in economic, social, and spatial aspects of neighborhoods located in proximity to rail stations. This study investigates the changes in housing value between 2000 and 2014 in 454 block groups within a one-mile buffer around rail stations located in the Dallas-Fort Worth metropolitan area to determine if there is a correlation between proximity to rail stations and median housing value. This study uses two approaches to analyze the data. First, a comparison of changes in housing value within block groups located in the study area during the study period is introduced. Next, an innovative approach is employed to select the best regression model using the data on the block groups located within the study area to understand the relationships between the selected independent variables and the changes in housing value during the study period in relation to the research question. The findings demonstrate that economic development and commercial activity locations have the highest effect on housing value during the study period, and block groups that were closer to rail stations experienced lower changes in housing value compared to block groups located farther away from stations. An interesting finding contrary to some of the literature is that an increase in the percent of the black population does not have negative effects on the change in property values. The findings for Hispanic and other minorities is also the same. These findings are a useful addition to the existing literature and contribute to the field of urban planning to mitigate the effects on housing value surrounding station areas. In addition, planners and policymakers could use the implications from the findings to adopt some policies for furthering the success of rail transit systems in urban areas by sustaining station area development.

ACS Style

Saad AlQuhtani; Ardeshir Anjomani. Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications. Journal of Transport Geography 2019, 79, 102463 .

AMA Style

Saad AlQuhtani, Ardeshir Anjomani. Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications. Journal of Transport Geography. 2019; 79 ():102463.

Chicago/Turabian Style

Saad AlQuhtani; Ardeshir Anjomani. 2019. "Do rail transit stations affect housing value changes? The Dallas Fort-Worth metropolitan area case and implications." Journal of Transport Geography 79, no. : 102463.