Mobility behavior and demand forecasts
RITMO offers expertise in the collection, modeling and evaluation of mobility data. Using methods from statistics, machine learning and behavioral research, the causes and trends of mobility decisions are made visible. These findings serve as the basis for data-based forecasts, scenario analyses and the evaluation of existing and new mobility offers. RITMO research provides public institutions, transport associations and companies with a reliable basis for planning, investment and management decisions.
Researchers
Prof. Dr. Jochen Eckert (Quantitative Marketing & Data Science), Prof. Dr.- Ing .Ing. André Bruns (Mobility Management & Transport Planning), Prof. Dr. Till Dannewald (Business Analytics / Business Intelligence), Prof. Dr. Matthias Kowald (Mobility Behavior and Mobility Management), Prof. Dr. Sabine Meier (Social Work and Participation), Prof. Dr. Barbara Seegebarth (Behavioral Science in Business), Prof. Dr. Andreas Steiner (International Economic Relations)
Project example(s)
SMILE - Mobility Management as an opportunity for industry and the environment
In the SMILE funding project, Hochschule RheinMain and Bielefeld University of Applied Sciences are supporting the introduction of a digital carpooling platform for Fraport AG employees at Frankfurt Airport. The goal is to promote carpooling, increase member of staff satisfaction and loyalty and reduce CO₂ emissions in commuter traffic.
Acceptance drivers, gamification elements and incentive mechanisms are being investigated in order to sustainably increase usage and further develop the platform in line with demand. Forecasts show potential savings of up to 6.5 percent fewer journeys per day and significant reductions in kilometers driven, CO₂ emissions and costs if used widely. The findings will be incorporated into an economically viable operator model and support scaling in the airport ecosystem as well as transfer to other companies and industry clusters.
More about the SMILE funding project