Eine skalierbare Plattform zur intermodalen Erreichbarkeitsanalyse im öffentlichen Verkehr unter Einbeziehung von Shared Mobility
摘要
The integration of timetable-based and demand-based mobility services is a key challenge for the analysis and planning of intermodal transportation systems. This paper presents a scalable platform that combines data from public transportation, such as buses and trains, with modern shared mobility services, such as rental bikes, car sharing, and e‑scooters. The aim is to develop a holistic data architecture that enables a comprehensive analysis of reachability. In this context, reachability describes how well people can reach other places from a specific location within a specified period of time. The approach includes the transformation of timetable data into a property graph model and the flexible integration of demand-based data formats into a document-based model. An isochrone-based metric will be developed to assess regional and interregional reachability. Use cases, including infrastructure changes and what-if analyses, demonstrate how data-driven decisions can be made in order to improve mobility.