CivE 613

Transportation Systems and Demand Analysis


Description

This course focuses on behavioral theories, quantitative methods, and qualitative methods to analyze human behaviour in the transportation engineering field. The course will cover microeconomic and discrete choice analysis techniques with applications for modeling travel behaviour and demand in networks. Specific topics will include: survey design, utility theory, discrete choice models, alternative decision rules, forecasting, qualitative interviewing, focus groups, and emerging data analysis methods. Course content will address a variety of human-centred transportation problems through practical application. The primary objectives of the course are for students to gain a fundamental understanding of behaviour in transportation, learn and apply methods for assessing and analyzing human behaviour, and obtain modelling experience for their future careers.

Learning Outcomes

Design stated and revealed preference surveys, qualitative interview guides, and focus group moderation guides
Define, describe, and provide examples of utility theory and utility equations
Identify appropriate variables for discrete choice models
Estimate a variety of discrete choice models for transportation problems using existing software
Critically analyze models throughout their transportation careers
Communicate human behaviour concepts, methods, and results to a variety of audiences
Understand methods for community engagement and human behaviour while considering ethics and equity

Lecture Seminar Lab Credits Total AU
3 0/1 0/1 3 37.8
M % NS % CS % ES % ED %

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Undergraduate Program(s)


Sections & Respective Instructors

A1 - 2025/2026 - Fall - Stephen Wong
A1 - 2024/2025 - Fall - Stephen Wong