Project Details
9-Euro-Ticket and Deutschland-Ticket as an Ecological-Social Transport Policy - Evaluation Based on Panel Data
Subject Area
City Planning, Spatial Planning, Transportation and Infrastructure Planning, Landscape Planning
Term
since 2024
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 542941892
The '9-Euro-Ticket' (9ET) was implemented as a transport and social policy concept for three months in summer 2022. Due to its great success, the 'Deutschland-Ticket' (DT) was introduced in May 2023. Compared to the 9ET, the DT is considerably more expensive, though (49 Euro instead of 9 Euro per month), and only available as a subscription. This project studies the research question to which extent the 9ET and DT contribute to more sustainable daily travel behaviour. Travel behaviour change (or changeability) is discussed in transport research referring to the interrelations between spatial structure, individual (travel) attitudes and travel behaviour, and taking up the debates about residential self-selection and reverse causality. The goal of this project is to estimate the short- and longer-term effects of the new ticket options (9ET and DT) on daily travel. To do this, existing quantitative data are used that include daily travel for five points in time based on three panel waves with retrospective elements (wave 1: 9ET, wave 2: standard ticket, wave 3: DT). This survey was implemented in five neighbourhoods in the Eastern Ruhr area which vary by spatial location and public transport supply. The panel will be supplemented by another wave in the project to study longer-term effects. The work programme starts with a literature analysis on the interrelations between spatial structure, travel attitudes and travel behaviour on the one hand, and the effects of cost reductions in public transport on the other (WP 1), followed by wave 4 data collection of the survey (WP 2). This is followed by data preparation and descriptive analysis (WP 3). The heart of the work programme consists of three empirical work packages that focus (as the target variables) travel attitudes (WP 4), monthly ticket ownership (WP 5), transport mode choice (WP 6) including changes, respectively. Complex, multivariate statistical methods are used including factor analysis, regression modelling and structural equation modelling. Results and conclusions will be discussed in an expert workshop (WP 7). The project requests a funding duration of 18 month, including the Basic Module, the Module Temporary Positions for Principal Investigators and the Module Project-Specific Workshops.
DFG Programme
Research Grants
Co-Investigators
Professorin Dr. Eva Heinen; Dr. Thomas Klinger