Course in choice modelling and stated choice survey design
London, United Kingdom, 5-9 November 2018
This one week course, run by the Choice Modelling Centre (CMC) at the University of Leeds, will provide delegates with an in-depth introduction to basic and advanced choice modelling and stated choice survey design. The course will take place in central London (De Vere West One, 9-10 Portland Pl, Marylebone, London W1B 1PR).
Taught by experts from the University of Leeds and the University of Sydney Business School, the course will consist of a mixture of lectures, computer practicals (using R and Ngene), and detailed case studies. Bringing together expertise from fields as diverse as transport, health, marketing and environmental economics, the course will cover all the steps required for successful choice modelling analyses, from inception via survey design and data collection to modelling, analysis, interpretation and implementation.
After taking this course, the participant will be able to design a stated choice survey, analyse stated or revealed choice data by estimating widely used discrete choice models, and interpret behavioural results. By letting participants do hands-on exercises with popular software, they will become familiar with the theories and models, which adds greatly to the learning experience. This makes the course suitable for practitioners who would like to get a good introduction and are interested in applications, as well as experienced academics who are interested in learning more advanced methods in design and analysis.
Delegates are expected to bring their own laptops (running Windows). We will have a limited number of laptops available for rental for the duration of the course. Delegates need to book these when registering for the course.
Please book early to avoid disappointment as spaces are limited and the 2017 course sold out quickly.
For further details and to register, please go to http://www.cmc.leeds.ac.uk/courses-phds/cpd/
Venue: De Vere West One, 9-10 Portland Pl, London W1B 1PR
Professor Stephane Hess is the director of CMC and Professor of Choice Modelling at the University of Leeds. He is an expert in developing advanced choice models and analysing choice behaviour, with theoretical and empirical contributions across different fields. He is also the editor-in-chief of the Journal of Choice Modelling.
Professor Michiel Bliemer is Professor of Transport and Logistics Network Modelling at the University of Sydney Business School. He is an expert in the design of stated choice surveys and has made many methodological contributions in this area. Further he is joint developer of the widely used Ngene software for generating efficient experimental designs.
Before 1 Sept 2018 After 1 Sept 2018
Full registration fee: £1,950 £2,200
Full time academics: £1,350 £1,600
Research students: £995 £1,250
Fees include five lunches, one evening dinner and access to software and data for the course.
The Centre for Choice Modelling (CMC) at the University of Leeds is a large multi-disciplinary centre bringing together expertise in choice modelling and the study of human decision making from across different fields. The course is co-hosted by the Institute for Transport Studies in the Faculty of Environment at the University of Leeds and the Institute of Transport and Logistics Studies in the University of Sydney Business School. Both have global reputations for state-of-the-art research in choice modelling, discrete choice analysis and experimental design.
Outline programme for the course
Day 1: Introduction to choice modelling and data requirement; Multinomial Logit estimation; Specification testing; Analysis and interpretation of results; Computer exercises with estimation software (R)
Day 2: Models with flexible error structures: Nested Logit; Mixed Logit; Latent Class; Computer exercises with estimation software (R)
Day 3: Alternatives to Random Utility models including Random Regret; Hybrid choice models; Emerging data sources for choice modelling; Computer exercises with estimation software (R)
Day 4: Introduction to stated choice surveys and experimental design; Full and fractional factorial designs; Orthogonal designs and their drawbacks; Survey formatting; Computer exercises with experimental design software (Ngene)
Day 5: Efficient experimental designs; Bayesian efficient designs; Advanced designs; Computer exercises with experimental design software (Ngene)