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2014, Master of Science in Civil Engineering, Cleveland State University, Washkewicz College of Engineering.
Across the United States, the need and value of coordinated land use and transportation planning have become a highly debated topic. There are those who believe that the coordination of land use and transportation is best served in the development of compact communities with alternate modes of travel. This approach is thought to preserve natural resources and result in a reduction in the number and length of vehicle trips. Others believe that such compact developments will lead to highly congested transportation systems.
The Federal Highway Administration (FHWA) has acknowledged the need and value of coordinating land use and transportation planning, and has taken several initiatives to integrate these processes. In addition, there have been a variety of previous research efforts which investigated specific relationships between various individual land use measures and transportation outcomes. Such efforts have also included the development of various entropy values and metrics which serve to combine various land use measures. Generally speaking, compact developments, with high population and employment density, good street connectivity, and access to transit have been shown to be associated with lower vehicle miles traveled (VMT).
The objective of this thesis was to examine whether the latest published metric for evaluating the sprawl of Metropolitan Statistical Areas (MSAs) is correlated with transportation outcomes, as predicted by the relationships reported in the literature. To do so, a comprehensive literature review was conducted. The quantitative relationships between land use measures and transportation outcomes were extracted from the literature and catalogued. Those land use measures and transportation outcomes that were consistently found to be correlated were identified. The transportation data was extracted from the latest release of the Urban Mobility Report. Using linear regression analysis, the relationship between the latest sprawl index values and the transportation data was examined.
Based on linear regression analysis, the latest sprawl index was found to be negatively related to vehicle miles traveled (VMT), such that the vehicle miles traveled (VMT) decreased for less sprawling MSAs .The relationship suggests that those who live in less sprawling areas tend to drive less by almost 1.6 miles per day. The annual hours of travel delay was also found to be negatively related to the sprawl index, such that the annual hours of travel delay decreased for less sprawling MSAs. This relationship suggests that those people living in compact areas experience less travel delay than those in more sprawling areas. These findings agree with the results of previous studies favoring compactness over sprawl.
Jacqueline Jenkins, PhD (Committee Chair)
Stephen Duffy, PhD (Committee Member)
Mehdi Jalalpour, PhD (Committee Member)
50 p.

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Alireza, G. (2014). LAND USE AND TRANSPORTATION MODELING. (Electronic Thesis or Dissertation). Retrieved from

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Alireza, Gerayeli. "LAND USE AND TRANSPORTATION MODELING." Electronic Thesis or Dissertation. Cleveland State University, 2014. OhioLINK Electronic Theses and Dissertations Center. 17 Oct 2017.

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Alireza, Gerayeli "LAND USE AND TRANSPORTATION MODELING." Electronic Thesis or Dissertation. Cleveland State University, 2014.


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