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dc.contributor.advisorHowland, Marieen_US
dc.contributor.advisorMoeckel, Rolfen_US
dc.contributor.authorCui, Yuchenen_US
dc.date.accessioned2016-06-22T05:45:28Z
dc.date.available2016-06-22T05:45:28Z
dc.date.issued2016en_US
dc.identifierhttps://doi.org/10.13016/M2PX9K
dc.identifier.urihttp://hdl.handle.net/1903/18201
dc.description.abstractTravel demand models are important tools used in the analysis of transportation plans, projects, and policies. The modeling results are useful for transportation planners making transportation decisions and for policy makers developing transportation policies. Defining the level of detail (i.e., the number of roads) of the transport network in consistency with the travel demand model’s zone system is crucial to the accuracy of modeling results. However, travel demand modelers have not had tools to determine how much detail is needed in a transport network for a travel demand model. This dissertation seeks to fill this knowledge gap by (1) providing methodology to define an appropriate level of detail for a transport network in a given travel demand model; (2) implementing this methodology in a travel demand model in the Baltimore area; and (3) identifying how this methodology improves the modeling accuracy. All analyses identify the spatial resolution of the transport network has great impacts on the modeling results. For example, when compared to the observed traffic data, a very detailed network underestimates traffic congestion in the Baltimore area, while a network developed by this dissertation provides a more accurate modeling result of the traffic conditions. Through the evaluation of the impacts a new transportation project has on both networks, the differences in their analysis results point out the importance of having an appropriate level of network detail for making improved planning decisions. The results corroborate a suggested guideline concerning the development of a transport network in consistency with the travel demand model’s zone system. To conclude this dissertation, limitations are identified in data sources and methodology, based on which a plan of future studies is laid out.en_US
dc.language.isoenen_US
dc.titleDefining the Resolution of a Network for Transportation Analyses: a New Method to Improve Transportation Planning Decisionsen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentUrban and Regional Planning and Designen_US
dc.subject.pqcontrolledUrban planningen_US
dc.subject.pqcontrolledTransportationen_US
dc.subject.pquncontrolledImpact Analysisen_US
dc.subject.pquncontrolledNetwork Resolutionen_US
dc.subject.pquncontrolledTravel Demand Modelingen_US


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