Urban Analytics

Identifying the right potential

For our portfolio to be further developed in line with needs and target groups, a data-based upstream analysis is indispensable. The analyses deal with the following three dimensions, among others: Portfolio enhancement, assessment of the accessibility quality of our stations and analyses on climatic conditions. We present these dimensions here with a selection of our cartographic results.

Portfolio enhancement

Evaluation of demand and potential

To expand the Smart City | DB portfolio in line with demand, we conduct numerous analyses in cooperation with the project teams. For example, for everyworks, our coworking offering, we assess coworking potential based on the number of gainful employment in the station environment. We also focus on commuter relations and traveller numbers to identify municipalities and cities with high concentrations of potential coworkers. In order to further develop our mobility hubs, we survey the demand for sharing services, as well as their spatial and temporal distribution. In order to create demand-oriented, intermodal mobility hubs, we also dimension the necessary parking spaces.

Urban analytics is thus a fundamental building block for the development of locations right from the start.

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Accessibility quality of our stations

Using public transport, bikes, and shared mobility to get to our stations

Taking into account timetable data and service frequencies, we assess the accessibility of stations by regional and local passenger transport. This shows which gaps in the service need to be closed so that onward travel around the stations can be optimised. For the sustainable bridging of the first and last mile, i.e. the way to and from the station, attractive alternatives to the car are crucial. The categorisation into quality classes helps us to derive to recommendations for improving accessibility - such as introducing on-demand transport with the ioki platform.

Besides public transport, cycling offers a climate-friendly alternative for travelling to the station. We analyse the accessibility of train stations by looking at existing cycling routing, average journey time, directness of routing and terrain topography. These results can be used to develop cycling services at the stations in a targeted way.

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Analyses on climatic conditions

Evaluation of microclimatic factors influencing the station environment

Taking the effects of climate change into account is essential in order to adapt the design of railway stations and their surroundings to the changing conditions in a sustainable and climate-sensitive way. Therefore, we identify stations that suffer from unfavourable bioclimatic conditions due to their surroundings. Particularly critical is a high degree of sealing due to insufficient green and water areas. In this way, we create an analytical basis for adapting and prioritising design measures in the station environment to customer needs.

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