Matthieu de Lapparent research projects

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Matthieu de Lapparent.

More information may be available here

Electric vehicle adoption dynamics: exploring market potentials

Sponsor: Nissan

Team: Michel Bierlaire (PI), Matthieu de Lapparent (PM), Anna Fernandez Antolin

Period: April 01, 2014-March 31, 2017

This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility. The greatest challenge faced by the promoters of the transition towards this low carbon engine technology lies in understanding how consumers accept the financial and lifestyle investments associated with the leap from traditional to electric powertrains. This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility. A deeper understanding of adoption dynamics is critical to predict who will opt for EVs when and under which conditions. This project will focus on innovative data-collection and modelling methodologies to uncover the acceptance of EVs at different stages of market-penetration (considering inexperienced/experienced users, early pioneers/late-adopters). A thorough analysis of the consumer decision-making process will lead to uncovering the barriers and success factors related to EV uptake and to forecast buying and usage behaviours related to new vehicle classes.

Revisiting the Route Choice Problem: A Multi-Level Modeling Framework for Route Choice Analysis Based On Latent Constructs

Sponsor: Swiss National Science Foundation

Team: Michel Bierlaire (PI), Matthieu de Lapparent (PM), Evanthia Kazagli

Period: October 01, 2013-September 30, 2016

This project aims at developing behavioral models integrating the latent constructs that drive travel behavior. The objective of the project is to set the foundations of an innovative framework that facilitates the analysis and prediction of route choice behavior. Motivated by the complexity of the route choice models, we build on solid ground of the current state of the art and add on it by proposing a new approach that reduces model complexity and brings great flexibility to the analysis. The approach is inspired by the fact that people break down the complexity of the environment by forming representations of their surrounding space. Following this reasoning, we replace the conventional representation of routes which is based on paths, i.e. link-by-link sequences on the network model, with more aggregate elements that we denote as mental representation items. This key feature of the framework allows us to reduce the complexity of the model and at the same time is more behaviorally realistic.

ACTUM

Sponsor: The Danish Council for Strategic Research

Team: Michel Bierlaire (PI), Matthieu de Lapparent (PM)

Period: March 01, 2011-March 01, 2016

The ACTUM research collaboration project involves development of an activity-based modelling framework for Copenhagen that is aimed at handling the future requirements for transport policy evaluations in Denmark.