ErlebensAtlas – travel experience in public transport

Everyone has their own experiences when travelling and evaluates their journey individually. This can depend on the chosen mode of transport, the route, but also the weather and the time of day. The ErlebensAtlas project aims to collect and visualise data on travel experiences by November 2025.

Will the bus arrive on time? Is there a free seat? Are friends travelling with me? For travellers, many criteria contribute to whether they enjoy travelling or not.
Credit:

Adobe Stock

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During intermodal journeys, travellers have negative experiences resulting from unmet needs. This can lead to reduced use of shared transport services. It is difficult for providers to respond to negative experiences, as these vary from individual to individual and can therefore rarely be counteracted with standardised solutions. In addition, experience information is not available digitally, which prevents a situation-adapted response. The aim of the project ErlebensAtlas is to develop and validate a workflow for the collection, processing, provision and visualisation of travellers' experience data in intermodal travel chains. For this purpose, information from travellers (e.g. age, gender) is merged with data on their experience (e.g. self-reported travel experience, physiological data), information on the travel chain (e.g. current means of transport and location) and context data (e.g. regarding timetable, delays, weather).

A pilot study with travellers will be carried out on at least two commuter routes and the resulting information on the travel experience will be evaluated and visualised. Alongside the development and validation of the workflow, issues relating to the usability of information about the travel experience will be addressed together with stakeholders, including the use of such data to improve communication strategies/services, data protection and the incentivisation of data donations. The central result is a workflow for recording, processing, visualising and providing experience-related data from travellers. This workflow will be validated in a data survey on at least two selected commuter routes. As a result, different visualisations of the experience are created in experience maps for the selected routes. The accompanying research will result in concepts for utilising the information and recommendations for collecting experience data.

Evaluation from a preliminary study with results on the self-reported travel experience of public transport journeys between Braunschweig and Wolfenbüttel. The darker the dot, the better the travellers rated the experience.

Project title:
ErlebensAtlas

Duration:
06/2024 to 11/2025

Project volume:
€ 173.958,03, funded by the Federal Ministry for Digital and Transport (BMDV) - funding programme: mFund (funding code: 19F1197A)

Project participants:
DB Regio Bus
Hamburger Hochbahn AG

This project is managed by the department:

Contact

Dr. Caroline Schießl

Head of Department
German Aerospace Center (DLR)
Institute of Transportation Systems
Information Flow Modeling in Mobility Systems
Lilienthalplatz 7, 38108 Braunschweig