Project description Knowledge-based planning and mobile radio data belong closely together. Mobile phone data is playing a decisive role in more and more areas of life when it comes to planning. Private and municipal actors use this Big Data for their analyses and strategic decisions, for example in the retail sector, in the mobility sector and increasingly also in tourism. The [...]
Structural database
Hebes2021-09-09T08:12:10+01:00Determination of structural data for the transport model of the state of Berlin Project description The Berlin Senate Department for the Environment, Transport and Climate Protection (SenUVK) regularly models the status quo of Berlin's transport and, based on this, forecasts the future development of transport, also taking into account measures envisaged in the Urban Development Plan for Transport (StEP [...]
Data supply and availability for leisure transport destinations
Hebes2019-11-15T13:29:50+01:00Project description The Berlin Senate Department for the Environment, Transport and Climate Protection (SenUVK) regularly models the status quo of Berlin's traffic and, based on this, forecasts future traffic development. A valid traffic model requires a structured data basis. This is available to the SenUVK. With a view to a new modelling cycle [...]
Big Data and Crowd Data for urban development planning
Hebes2017-11-19T21:20:58+01:00Project description The study "Big Data and Crowd Data for Berlin's Urban Development Planning" aims to generate innovations for strategic planning through the use of Big Data and Crowd Data. It examines the extent to which Big Data and Crowd Data for urban development planning can cope with the challenges of the growing city in the future [...].
Analysis of urban density
Hebes2017-11-19T21:23:45+01:00Project description In view of positive net external migration over the years, a continuously rising population and a noticeable increase in rents and housing prices, there is renewed discussion in Berlin about the extent and spatial structure of an appropriate density in the city. In view of the current population forecasts, the question arose as to which densities at which locations would be appropriate in the future.