Document Type

Closed Project

Publication Date

Winter 2018

Instructor

Ramin Neshati

Course Title

Decision Making in Engineering and Technology Management

Course Number

EMGT 530/630

Subjects

Choice of transportation -- Research, Urban transportation -- Evaluation, Travel -- Research, Transportation -- Planning, Decision making, Hierarchical Decision Model

Abstract

In this research, we explore how households make their travel decisions and how this affects their residential location choices. There has been a large body of research looking at travel behavior such as mode choice at the individual level. However, there has been limited research modeling travel behavior at household level, especially by looking at the differences in household characteristics. This project aims to understand the travel mode choice decision making at household level and understanding the relationship of these choices with socio-demographics, built environment (also looking at the spatial characteristics of where the household is resides, works and travel destinations) and trip attributes. What factors influencing household mode choice. This includes the relationship between residential location and commute behavior. The role of built environment in travel behavior choices. Understanding these factors is very important as it will help urban and transportation planners to be understand travel behavior at household level and could impact new policies aimed at reducing traffic congestion and promoting sustainable transportation policies.

The results of the study show that our experts were all in agreement and preferred the car alternative (by ranking it highest) as their modes of travel. When asked to weigh the criteria (socio-demographics, built environment, trip attributes) that affects which mode they chose, our panel of experts ranked socio-demographics and trips attributes at the same, followed by built environment.

The paper uses the Hierarchical Decision Making (HDM) method to analyze our research question. Six experts with knowledge in transportation planning and travel behavior was were selected to quantify and validate our model. The mode contained four alternatives (car, public transit, walking, and bike).

Description

This project is only available to students, staff, and faculty of Portland State University

Persistent Identifier

http://archives.pdx.edu/ds/psu/24599

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