Master Thesis Online
Trip Length Distributions and Destination Choice: An Empirical Analysis Using National Travel Surveys
Roy Carnicer, Pau 
Promotor(s) :
Cools, Mario
Date of defense : 30-Jun-2025/1-Jul-2025 • Permalink : http://hdl.handle.net/2268.2/22989
Abstract_Pau_Roy.pdfDetails
| Title : | Trip Length Distributions and Destination Choice: An Empirical Analysis Using National Travel Surveys |
| Translated title : | [fr] Distributions de la longueur des déplacements et choix de destination : une analyse empirique à partir d’enquêtes nationales sur la mobilité. |
| Author : | Roy Carnicer, Pau
|
| Date of defense : | 30-Jun-2025/1-Jul-2025 |
| Advisor(s) : | Cools, Mario
|
| Committee's member(s) : | Teller, Jacques
François, Bertrand
|
| Language : | English |
| Number of pages : | 120 |
| Keywords : | [en] Destination choice model [en] trip length distribution [en] trip duration distribution [en] log-normal distribution |
| Discipline(s) : | Engineering, computing & technology > Civil engineering |
| Research unit : | Local Environment Management & Analysis unit |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Cours supplémentaires destinés aux étudiants d'échange (Erasmus, ...) |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[en] Using two large-scale national travel surveys (BELDAM (2010) and MONITOR (2017)) this thesis provides an empirical characterisation of trip-length (distance) and trip-duration distributions across socio-demographic groups, trip purposes and travel modes. A comprehensive exploratory analysis fits several theoretical distributions to the survey data and evaluates goodness-of-fit with several tests. Building on these findings, a Multinomial Logit (MNL) model is estimated to illustrate how distance and duration jointly influence destination choice probabilities.
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