Discrete Choice Analysis
Stated preference, revealed preference, advanced choice models, willingness-to-pay measures, welfare
Discrete choice models lie at the core of behavioural analysis in transport, capturing how people choose between alternatives—modes, routes, destinations, pricing options, products and more. They provide a rigorous framework for understanding preferences and forecasting behavioural change.
With more than two decades of experience in both academic and applied settings, Amodellis offers advanced discrete choice modelling services grounded in econometric theory, practical evidence and modern statistical tools.
Services Offered
Stated-Preference (SP) Survey Design & Analysis
End-to-end support including:
- Experimental design
- Attribute development and scenario framing
- Survey implementation and sampling strategy
- Quality control and response validation
Discrete Choice Model Estimation
Building models using:
- Multinomial logit, nested logit and cross-nested logit models
- Advanced models (Mixed logit, latent class, hybrid choice, MDCEV models)
- Bayesian estimation
- Elasticity estimation and parameter transfer
Behavioural Insights & Elasticities
Providing:
- Willingness-to-pay estimation
- Price/toll/fare elasticities
- Demand segmentation
- Market share and uptake modelling
- Scenario and sensitivity analysis
Integration with Transport Models
DCMs can be integrated into:
- Variable Demand Models (VDMs)
- Public transport assignment models
- Toll diversion and revenue models
- Land-use and location choice models (including bid-rent frameworks)
Relevant Experience
Tolling & Road Pricing – Multiple International Projects
Designed and estimated discrete choice models for toll choice, willingness-to-pay and diversion behaviour across the UK, US, Canada, Greece, Georgia, Mexico and Southeast Asia. Applications included pricing strategy, demand-risk assessment and investment-grade revenue forecasting.
Bid-Rent Location Choice Model in LUTI framework
Co-developed the UK’s first microeconomic bid-rent location choice model within a LUTI framework, building a bespoke discrete choice-based framework for household and firm location decisions, including the estimation of bid functions and rent-auction parameters.
UK National Value of Travel Time Study
Contributed to research on the UK’s national values of travel time, focusing on the estimation of income elasticities of values of time. This included developing and testing econometric specifications to understand how the value of time varies across income groups and trip purposes.
Market Engagement Study – Battery Electric Buses
Developed a choice-based conjoint analysis to quantify operator preferences for Battery Electric Buses (BEB) attributes. Estimated attribute importance, performance sensitivities and market appeal, informing product development strategies.