Zohreh Rashedi: Dealing with Complexities in Mode Choice Modelling Coming from Input Data Sources

March 16, 2018 @ 11:00 am – 12:00 pm
Sandford Fleming Building, ITS Lab and Testbed, Room SF3103
10 King's College Rd
Toronto, ON M5S 3G8
Pat Doherty

Mode choice model is one of the most widely used tools in transport planning practices and serves as an important module in short-range and long-range studies.

Mode choice model captures the observable interactions between demand and supply. It is a key component of trip-based, tour-based, or activity-based demand forecasting models and also an important stand-alone tool that can be used for modal shift investigations, scenario planning, and policy analysis.

Although the importance of mode choice behaviour is well-understood, there are many sources of uncertainty or complexity related to input data itself that could potentially impact modelling of this behaviour in real practical applications, but are usually ignored. Accounting for these data challenges can play an important role in capturing the mode choice behaviour more accurately and improving the quality of model results or even making the mode choice modelling practicable in the first place.

This presentation outlines some of the issues associated with input data used in mode choice modelling practices and focuses specifically on those topics that are of interest in this research. In this regard, it also presents an empirical research work dealing with capturing SP choice uncertainty in mode choice models.

Zohreh Rashedi is a PhD candidate at University of Toronto, working under the supervision of Professor Khandker Nurul Habib. She did her BSc in Iran in Civil Engineering and gained her MSc in Transportation Engineering from Carleton University.

This seminar is presented by the University of Toronto Institute of Transportation Engineers (ITE) Student Chapter.  All are welcome to attend.