First Advisor

James Strathman

Date of Publication

Winter 2-23-2018

Document Type

Dissertation

Degree Name

Doctor of Philosophy (Ph.D.) in Urban Studies

Department

Urban Studies and Planning

Language

English

Subjects

Choice of transportation -- Mathematical models, Transportation -- Planning -- Mathematical models

DOI

10.15760/etd.6109

Physical Description

1 online resource (v, 91 pages)

Abstract

Most existing activity-based travel demand models are implemented in a tour-based microsimulation framework. Due to the significant computational and data storage benefits, the demand microsimulation allows a greater amount of flexibility in terms of demographic market segmentation, temporal scale, and spatial resolution, and thus the models can represent a wider range of travel behavior aspects associated with various policies and scenarios. This dissertation proposes three innovative methodologies, one for each of the three key dimensions, to fulfill the greater level of details toward a more mature state of activity-based travel demand models.

Rights

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Persistent Identifier

http://archives.pdx.edu/ds/psu/24532

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