Electric Mobility - Discrete Choice Analysis of Stated Preference Data


Project Description

Objective

To use appropriate statistical modelling tools to quantify results of the stated preference experiments and derive measurable insight into the determinants of preferences among the general population and businesses.

Description

The stated preference approach for both consumers and businesses will yield a set of survey data that is well suited to analysis by a statistical model. The data will contain information on the choices of vehicle that people and organizations are likely to make and inferences will be possible about the determinants of those choices. To actually distill and understand the relative impact of these determinants, it is necessary to fit a statistical model to the data.

Discrete Choice models are well-suited to choice scenarios associated with categorical response variables such as the choice of a vehicle. Discrete Choice methods will form the backbone of the statistical analysis on stated preference data for both consumers and fleets.

Progress

With respect to the consumer stated preference data, the discrete choice analysis of these data has been well-underway since later in the summer after developing a comprehensive modelling database from the surveyed data. This analysis is going well and will support multiple academic publications. The same team that has participated in the consumer module (Section 3.1) is working on this module.

With respect to the fleet module, the final data have not yet been collected. Discrete choice analysis of these data will proceed likely in late autumn 2015 or early 2016. The same team that has worked on the fleet module (Section 3.2) will work on this component of the discrete choice analysis module.