Behavioural Theory and Modelling Travel Decision Processes in Leisure Tourism Caroline Sturm, Istituto di ricerche economiche (IRE) Conference paper STRC 2014

Source URL: www.strc.ch

• Decision theory
• Choice modelling
• Free will
• Autonomy
• Motivation
• Choice
• Discrete choice
• Decision-making
• Tourism
• Trip distribution

An application of the Constrained Multinomial Logit (CMNL) for modelling dominated choice alternatives Francisco Martínez, University of Chile Ennio Cascetta, Francesca Pagliara, University of Naples Michel Bierlaire, T

Source URL: www.strc.ch

• Regression analysis
• Statistical models
• Decision theory
• Choice modelling
• Transportation planning
• Logit
• Multinomial logistic regression
• Logistic regression
• Discrete choice
• Utility
• Multiple-criteria decision analysis
• Trip distribution

A CCP Estimator for Dynamic Discrete Choice Models with Aggregate Data Timothy Derdenger & Vineet Kumar∗ June 2015 Abstract We present a new methodology to estimate dynamic discrete choice models with aggregate data;

Source URL: groups.haas.berkeley.edu

Microsoft Word - Scagnolari_Maggi_2010.docx

Source URL: www.strc.ch

• Choice modelling
• Statistical models
• Regression analysis
• Categorical data
• Microeconomics
• Discrete choice
• Mixed logit
• Multinomial logistic regression
• Logit
• Logistic regression
• Rational choice theory
• Preference

Object-fine choice models for long-term decisions: which level of granularity is necessary? A review of literature VAN EGGERMOND Michael A.B.* , ERATH Alexander* , and AXHAUSEN Kay W.** *

Source URL: www.strc.ch

• Transportation planning
• Choice modelling
• Simulation
• Statistics
• Discrete choice
• Economy
• Trip distribution
• Mode choice
• UrbanSim
• Mixed logit
• Accessibility
• Multinomial logistic regression

Accounting for similarities in destination choice modelling: A concept Nadine Schüssler Kay W. Axhausen STRC 2009

Source URL: www.strc.ch

• Choice modelling
• Transportation planning
• Statistical models
• Decision theory
• Discrete choice
• Mode choice
• Mixed logit
• Choice set
• Trip distribution
• Scientific modelling
• Choice
• Decision-making

Simulation of Pedestrian Behaviour using a Discrete Choice Model Calibrated on Actual Motion Data Gianluca Antonini, Michel Bierlaire and Mats Weber Signal Processing Institute Swiss Federal Institute of Technology Lausa

Source URL: www.strc.ch

• Statistics
• Statistical models
• Mathematical analysis
• Choice modelling
• Regression analysis
• Transportation planning
• Discrete choice
• Mathematics
• Logit
• Traffic simulation
• Trip distribution
• Economic model

Modelling travel time perception in transport mode choices Silvia Francesca Varotto, Università degli Studi di Trieste Aurélie Glerum, Ecole Polytechnique Fédérale de Lausanne Amanda Stathopoulos, Ecole Polytechnique

Source URL: www.strc.ch

• Transport
• Statistics
• Transportation planning
• Statistical models
• Psychometrics
• Business
• Travel
• Regression analysis
• Mode choice
• Discrete choice
• Choice modelling
• Imputation

Time is money - The valuation of travel time savings in Switzerland Arnd König Georg Abay Kay W Axhausen

Source URL: www.strc.ch

• Transportation planning
• Choice modelling
• Transport economics
• Mode choice
• Discrete choice
• Travel behavior
• Trip distribution
• Value of time
• Traffic congestion
• Transport
• Public transport
• Costbenefit analysis

Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005

Source URL: www.strc.ch

• Statistical models
• Regression analysis
• Choice modelling
• Discrete choice
• Mode choice
• Mixed logit
• Probability distribution
• Multinomial logistic regression
• Logistic regression
• Likelihood function
• Mixture model
• Gibbs sampling