The Berlin Senate Department for Environment, Transport and Climate Protection (SenUVK) regularly models the status quo of Berlin's transport and, based on this, forecasts future traffic development. a valid transport model requires a structured data basis. this is available to the SenUVK. with a view to a new modelling cycle, the data basis should be checked and - where possible - updated.

there are very few official statistics and sectoral planning data available for the leisure traffic sector. therefore, the current structural data exclusively refer to OpenStreetMap (OSM) data. within the framework of the project, i am checking, for the leisure traffic sector, whether this situation still exists. for this purpose, i evaluate whether new official sources and sectoral planning data as well as big and crowd data can complement and update the existing structural data.

I research various sources for relevant information on sinks (destinations of leisure traffic), especially

• official databases related to the Berlin area
• current Berlin specialist planning
• Crowd data platforms
• Big Data (especially social media, mobile data, Google)

When assessing the potential data, I primarily check the relevance of the content for structured leisure traffic data and address, among other things, spatial granularity, availability and credibility (veracity).