Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Understanding the variability of daily travel-time expenditures using GPS trajectory data

Abstract : Transportation planning is strongly influenced by the assumption that every individual has for his daily mobility a constant daily budget of ~1 hour. However, recent experimental results are proving this assumption as wrong. Here, we study the differences in daily travel-time expenditures among 24 Italian cities, extracted from a large set of GPS data on vehicles mobility. To understand these variations at the level of individual behaviour, we introduce a trip duration model that allows for a description of the distribution of travel-time expenditures in a given city using two parameters. The first parameter reflects the accessibility of desired destinations, whereas the second one can be associated to a travel-time budget and represents physiological limits due to stress and fatigue. Within the same city, we observe variations in the distributions according to home position, number of mobility days and a driver's average number of daily trips. These results can be interpreted by a stochastic time-consumption model, where the generalised cost of travel times is given by a logarithmic-like function, in agreement with the Weber-Fechner law. Our experimental results show a significant variability in the travel-time budgets in different cities and for different categories of drivers within the same city. This explicitly clashes with the idea of the existence of a constant travel-time budget and opens new perspectives for the modeling and governance of urban mobility.
Document type :
Preprints, Working Papers, ...
Complete list of metadata

Cited literature [36 references]  Display  Hide  Download
Contributor : Emmanuelle de Laborderie Connect in order to contact the contributor
Submitted on : Monday, June 20, 2016 - 3:31:50 PM
Last modification on : Wednesday, April 14, 2021 - 12:12:03 PM


Files produced by the author(s)



Riccardo Gallotti, Armando Bazzani, Sandro Rambaldi. Understanding the variability of daily travel-time expenditures using GPS trajectory data. 2016. ⟨cea-01334188⟩



Record views


Files downloads