reisdata

Reisdata is a term used in transport research and urban planning to refer to data about travel and mobility. It encompasses information about when, where, how, and by what means people move, and is used to analyze travel behavior, demand, and system performance. The concept is commonly applied in metropolitan planning, public transit optimization, and policy evaluation.

Data sources and types include ticketing and fare collection records, origin-destination surveys, automated passenger counts, GPS and smartphone location data, transit vehicle telemetry, and sensor data from roads and intersections. Reisdata can capture modal share, travel times, trip durations, route choices, and peak-period patterns. Data are often stored in aggregated or anonymized form to protect privacy and to facilitate comparisons across time and space.

Formats and standards vary by region but commonly involve transit data formats and open data schemas. Examples include GTFS (General Transit Feed Specification) and GTFS-realtime for schedule and reliability information, NeTEx and SIRI for timetable and network data, and various JSON or CSV representations for analytics. Data integration typically combines multiple sources to produce origin-destination matrices, travel-time reliability metrics, and mode-choice models.

Applications range from urban transport planning and timetable optimization to performance monitoring and research on travel behavior. Reisdata supports scenario analysis, infrastructure investment decisions, and policy assessments, such as the impact of pricing, service changes, or new mobility options. Privacy, data governance, licensing, and interoperability considerations are central to responsible use, with emphasis on anonymization and regional data-sharing agreements.