Data4City: The Urban Voice Shapes the City of the Future

Through smart networks, Data4City (D4C) designs a model that is based on the needs of citizens. The wishes of the inhabitants become the driving force for innovation and urban development for the smart city of tomorrow!


The InnoTeam of the Saxon Development Bank are IT specialists and urban researchers who are working on a marketable smart city solution.

The residents and neighborhoods of Johannstadt and Friedrichstadt in Dresden, Germany are the focal points for the Data4City solution.

Logo der ESF als Förderer des Forschungsprojektes Data4City



The Data4City Project

The D4C project was launched at the end of 2017. It uses the ‘hyperlocal’ approach to develop a city data platform that can translate citizen needs into concrete services.

Project partners include Spectos GmbH, and the KNOWLEDGE ARCHITECTURE LABORATORY at the TU Dresden.

Study Participants for Data4City

For the project, resident panels are set up for the neighborhoods in Dresden and are continuously surveyed.

The data platform and interactive app is constructed based on the responses from the brief surveys given to participants from the neighborhoods of Johannstadt and Friedrichstadt. Topics that affect the residents range from questions about public transportation, security, delivery services to the overall infrastructure of the neighborhoods. 

The D4C is coupled together as an App and sensor technology. By using these two tools, data can be quickly disseminated and continuously made visible for residents through a neighborhood dashboard.

Small and big businesses in the neighborhoods can also benefit from the data acquired that help to improve marketing and general offers for residents.

Data Identification

Community Participation

Qualitative surveys with over 100 participants

Statistical Data

Collection of quantitative data

Social Data

Implementing thematic maps and social media data

Data Processing

Partial Steps

Data Analysis | Data Link | Data Interpretation | Data Visualization

Data Recovery

Urban Business Model

Translation into urban services and business models.

City Planning for the Future

A community is a living entity that is in a constant change and development. By using ‘community panels’, the needs and wishes of residents are provided to give an accurate view of daily life.

The invaluable data that is collected gives service providers and city planners the opportunity to focus on demand-driven, citizen-centered and intelligent urban planning.

Project Coordination

Project Coordinator: Niels Delater

Academic Coordinator: Professor Jörg Rainer Noennig

Project Period: November 2017 – October 2019