Title:
Modeling Transit Dependency Index and the Analysis on the Intersecting Transit-Dependent Groups: A Spatial Microsimulation Approach
Modeling Transit Dependency Index and the Analysis on the Intersecting Transit-Dependent Groups: A Spatial Microsimulation Approach
dc.contributor.author | Pang, Jian | |
dc.contributor.corporatename | Georgia Institute of Technology. School of City and Regional Planning | en_US |
dc.date.accessioned | 2019-01-07T19:23:40Z | |
dc.date.available | 2019-01-07T19:23:40Z | |
dc.date.issued | 2018-12 | |
dc.description.abstract | This 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.identifier.uri | http://hdl.handle.net/1853/60639 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.subject | Composite Transit Dependency Index (CTDI) | en_US |
dc.subject | Transit dependent groups | en_US |
dc.title | Modeling Transit Dependency Index and the Analysis on the Intersecting Transit-Dependent Groups: A Spatial Microsimulation Approach | en_US |
dc.type | Text | |
dc.type.genre | Masters Project | |
dc.type.genre | Capstone Paper | |
dspace.entity.type | Publication | |
local.contributor.corporatename | College of Design | |
local.relation.ispartofseries | Master's Projects | |
local.relation.ispartofseries | Master of Science in Geographic Information Science and Technology | |
relation.isOrgUnitOfPublication | c997b6a0-7e87-4a6f-b6fc-932d776ba8d0 | |
relation.isSeriesOfPublication | 09b1c264-93da-4a60-8e57-4eecff715bc6 | |
relation.isSeriesOfPublication | a306f41f-664e-478f-9185-463f2b62970a |
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