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dc.contributor.authorPang, Jian
dc.date.accessioned2019-01-07T19:23:40Z
dc.date.available2019-01-07T19:23:40Z
dc.date.issued2018-12
dc.identifier.urihttp://hdl.handle.net/1853/60639
dc.description.abstractThis research is primarily focused on building a methodology framework to model a Composite Transit Dependency Index (CTDI) that incorporates various Transit-Dependent groups. The application of Spatial Microsimulation in this research helps better identify intersecting demographic groups that contribute to the overall Transit Dependency of an area. By performing Multivariate Linear Regression, the TDIs are also found to be able to predict the number of outbound trips of a census tract to some level of extent. And the results of the regression can be used into forming the Composite Transit Dependency Index.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectComposite Transit Dependency Index (CTDI)en_US
dc.subjectTransit dependent groupsen_US
dc.titleModeling Transit Dependency Index and the Analysis on the Intersecting Transit-Dependent Groups: A Spatial Microsimulation Approachen_US
dc.typeMasters Projecten_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of City and Regional Planningen_US


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