Testing the relationship between socio-economic inequalities and accessibility in the Paris Urban Area

Master Thesis (2026)
Author(s)

Y.L.M. Redon (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

J.A. Annema – Mentor (TU Delft - Technology, Policy and Management)

C. Maat – Mentor (TU Delft - Civil Engineering & Geosciences)

S. Balakrishnan – Mentor (TU Delft - Technology, Policy and Management)

Faculty
Civil Engineering & Geosciences
More Info
expand_more
Publication Year
2026
Language
English
Graduation Date
24-02-2026
Awarding Institution
Delft University of Technology
Programme
Transport, Infrastructure and Logistics
Faculty
Civil Engineering & Geosciences
Downloads counter
42
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Accessibility has long been used in transportation studies as a way to compare the utility derived by individuals from the transport system. Furthermore, accessibility is also a helpful indicator in studying distributive justice issues in the field of transportation. On the other hand, a vast literature has studied inequalities, in terms of income and employment among other variables, between ‘cités’ neighbourhoods, in France as a whole and in the Paris Urban Area more specifically. In this study we aim to identify how these inequalities could be associated with poor accessibility to jobs and other key services in these areas. GTFS data from the Paris Urban area is used to estimate time travels between census tracts. Using this data as input, accessibility to facilities belonging to different types of key services from an area is then computed using both travel time and fare cost. These accessibility results are then analysed, using a clustering method and a spatial regression model. Results obtained show that in general areas with lower income tend to perform more poorly accessibility-wise, but that a variety of situations exist for areas with average income.

Files

License info not available