Unité mixte de recherche 7235

A New Behavioral Framework to Analyze Preferences Construction and Decision Processes Within The Modal Choice

Hugo Bois

[en]This paper discusses about a new framework to explain the decision-making process of modal choice. A specific approach, based on the behavioral framework developed by Ben-Akiva & Boccara (1987), is adopted to understand and analyze the decision processes of individuals. Precisely, we use the Analytic Hierarchy Process (AHP) to build the hierarchy of preferences from attitudes and perceptions. Through the preferences hierarchy, we can apply three different methods to better explain the decision processes; namely a standard compensatory model, a non-compensatory model based on the decision rules, and different possible weightings of the AHP method. The random utility maximization is predominantly used in the transportation literature because of its strong theoretical background, its success in predicting many types of human behavior, and the simplicity of mathematical and statistical analyses and model estimation it offers. Despite that, we believe that non-compensatory approaches are better suited to understand both travel behaviors and decision processes for transportation modes when taking active modes into account. These approaches allow us to better explain the impacts of each modal attributes on the one hand and to build psychological profiles with respect to decision rules on the other hand. Thus, it is possible to simulate shocks all things being equal.[/en]

AGENDA

jeudi 19 mai 2022

Lunch

Christophe Blot

Are all central bank asset purchases the same?

lundi 23 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Clara Jean (Grenoble Ecole de Management)

The Value of Your Data: Privacy and Personal Data Exchange Networks

lundi 30 mai 2022

Law, Institutions and Economics in Nanterre (LIEN)

Antoine Dubus (ETH Zurich)

Salle G110

Data Driven Mergers and Acquisitions with Information Synergies

mardi 31 mai 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Juan Pablo Montero (PUC)

TBA

jeudi 9 juin 2022

Lunch

Rémi Generoso

TBA

jeudi 9 juin 2022

Groupe de travail « Intelligence artificielle »

Hugo Le Picard (IFRI)

Salle G614B

Le deep learning au service de l’analyse des énergies renouvelables en Afrique

mardi 14 juin 2022

Series of Webinars on Economics of Environment, Energy and Transport (SWEEET)

Andrew Plantiga (UCSB)

TBA

mercredi 15 juin 2022

Économies du monde musulman

Amel Bouzid (CREAD, Alger)

Natural and Regulatory Underlying Factors of Food Dependency in Algeria

Inscription aux Newsletters