Municipal data requirements New Mobility Services

2019-08-29T11:16:54+01:00

Project description New Mobility Service (NMS) providers can be found in many German cities, offering their vehicles for sharing as part of the Mobilty as a Service (MaaS) economy. These include, for example, car sharers, bike sharers and now also e-scooter sharers such as Jump, SHARE NOW, Mobike and Lime. The municipal approach to these shared [...]

tourist hotspot investigation

2020-01-10T14:03:51+01:00

Project description Berlin is growing. Not only the population in Berlin has been rising dynamically for years. Visitor numbers have also shown steady growth for over 15 years. Tourism growth is an increasing topic of urban development planning in municipalities and districts. For some years now, New Urban Tourism has played a [...]

Dashboard creation Mobile data

2020-01-10T14:05:43+01:00

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 [...]

District development concept for the district of Dahme-Spreewald

2024-06-27T07:17:47+01:00

Project description The Brandenburg district of Dahme-Spreewald (LDS) initiated a study in mid-2018 for the development of strategic goals for the southern region. As a logical consequence and further development of the insights gained in this study, a strategic framework for the entire district is now being developed in the form of the district development concept (KEK). In the process, the scope is clearly [...]

Bikesharing-Berlin

2019-06-25T09:10:54+01:00

Project description Rental bike systems can be found in more and more cities/agglomerations. Private providers and provider communities make bicycles available for shared or alternating use in the sense of the sharing economy. Both station-based systems and free-floating approaches are used. Often the offers are limited to city centres, sometimes there are [...]

Study to determine the needs for housing, skilled labour and infrastructure in the southern communities of the district of Dahme-Spreewald

2024-06-27T07:25:56+01:00

Project description The Brandenburg district of Dahme-Spreewald (LDS) is spatially and structurally characterised by a broad diversity. On the one hand, there are communities in the north that profit from the population and economic growth of the Berlin metropolitan region. On the other hand, there are municipalities in the south that primarily earn their living from tourism, but otherwise have [...]

Charging infrastructure Berlin

2019-06-25T09:11:37+01:00

Project description We are still a long way from the original target of 1 million electric vehicles in Germany by 2020. Nevertheless, registration numbers are rising, especially in the big cities. People seem to be increasingly willing to seriously consider buying electric cars. That is [...]

IWVK Study

2021-09-09T11:55:36+01:00

Project description Commercial transport is a decisive factor for supplying the population and guests of a city/municipality. It ensures the competitiveness of industrial and business locations. Commercial transport is the basis, part and result of industrial production, goods transport, trade, other services and thus the networking of companies on [...].

Combined transport

2019-06-25T09:12:21+01:00

Project description Over the past three years, the SGKV - Studiengesellschaft für den Kombinierten Verkehr e.V. (AG, client) has produced the report / collection of statistics "Facts and Figures", initially to provide members - and, with a delay, online to a wider audience - with an overview of the status and development of the [...]

Big Data and Crowd Data for urban development planning

2017-11-19T21:20:58+01:00

Project 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 [...].

Go to Top