Behavioral Travel Modeling
Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.
English Book & Chapters
English Book Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesGTU Previous Year Papers
Papers Coming Soon
We are working hard to add this material. Stay tuned for updates!
Follow on Instagram for UpdatesBehavioral Travel Modeling Syllabus — Unit-wise Content
The official GTU curriculum for Behavioral Travel Modeling (subject code ME02069091) as prescribed for C(E · Semester 2 divides the course into 4 units, covering 34 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME02069091)Unit 1 Survey design and analysis
- Travel surveys and their role in transport planning
- survey methods
- precision and accuracy in travel surveys
- sample design
- sampling procedures
- survey format
- pilot surveys
- survey administration
- collection of stated and revealed preference data
- survey data processing
Unit 2 Discrete Choice Models
- The multinomial logit model (MNL)
- Properties of MNL, The hierarchical logit model (HL)
- Correlation and model structure
- The multinomial probit model
- Choice by elimination and satisfaction
- Habit and hysteresis
- Specification and Estimation of Discrete Choice Models
- Choice-set determination
- Choice-set size
- Choice-set formation
- Specification and functional form
- Statistical estimation
- Validation samples
- Modeling with stated-preference data
Unit 3 Advanced concepts
- accommodating unobserved population heterogeneity in choice behavior
- mixed logit models
- joint stated preference and revealed preference modeling, and longitudinal choice analysis
- Discrete choice models for integrated land use and transport modeling
- review of state-of-the-art and future directions
Unit 4 Model Aggregation and Transferability
- Aggregate bias and forecasting
- Aggregation Methods
- Methods to evaluate model transferability
- Updating with disaggregate data
- Updating with aggregate data