Skip to main content
European Commission logo
TRIMIS

Assessing the Socio-Cultural Effects on Mobility Behaviours in Cross-Border Areas

Project

ACROSS - Assessing the Socio-Cultural Effects on Mobility Behaviours in Cross-Border Areas


Funding origin:
Luxembourg
Luxembourg
STRIA Roadmaps:
Smart mobility and services (SMO)
Smart mobility and services
Transport mode:
Multimodal
Multimodal
Transport sectors:
Passenger transport
Passenger transport
Project website:
Duration:
Start date: 01/02/2011,
End date: 01/08/2014

Status: Finished
Funding details:

Overview

Background & policy context:

Nowadays, daily mobility behaviours are emerging as a big challenge for the sustainability of our lifestyles. The awareness of the increasing impact of cars on the environment has led to the concept of sustainable mobility that supposes a modal shift from cars to public transportation and soft mobilities.

Objectives:

In this context, the ACROSS project aims at assessing the sociocultural effects on mobility behaviours in cross-border areas. By further analysing the psychosocial and environmental determinants of attitudes leading to such behaviours, this project will help to identify efficient incentives to promote the use of public transportation and soft modes. To do so, the ACROSS project will focus on three cross-border areas (Luxembourg, Strasbourg and the particular case of Brussels). 

Methodology:

The overall methodological framework relied on the use of attitude theory and cognitive mapping to assess the role of cultural differentiation on mobility behaviours, including mode choice as well as location choices. In the first stage, we built a single questionnaire including attitudinal scales, dealing with transport modes, as well as self-reported mental maps and activity schedules, in order to study the action spaces. We dealt with attitudes by using a similitude analysis (graph-based method). Then, cognitive maps have been analysed through bi-dimensional regression in order to compute comparable indicators to assess the effect of cultural differentiation. Spatial analysis and geostatistical tools helped us to analyse the activity schedules. In a final step, results coming from these different methods have been brought together in statistical models (i.e. polynomial regression and/or logit/probit models) in order to assess the respective weight of each variable tested. 

Contribute! Submit your project

Do you wish to submit a project or a programme? Head over to the Contribute page, login and follow the process!

Submit