Advisor

James Strathman

Date of Award

2-23-2018

Document Type

Dissertation

Degree Name

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

Department

Urban Studies

Physical Description

1 online resource (v, 91 pages)

DOI

10.15760/etd.6109

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.

Persistent Identifier

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

Included in

Urban Studies Commons

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