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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!

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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 European Social Fund

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.

Spectos Solutions Header Image Spectos Solutions Header Image


Value Creation

Development of a city data platform and tool suite that enables the targeted collection, analysis and exploitation of urban data and the derivation of innovative services or products.

Representative citizen panels for continuous surveys

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. 


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

Simple operation of the app
Spectos Solutions Header Image Spectos Solutions Header Image

For Android & iOS

Smart City App

In addition, local needs are determined quickly, purposefully and continuously using an app as well as innovative sensor technology and made visible in a neighbourhood dashboard. This information will be made available to public and private companies to improve their offerings.

Data Processing

Partial Steps

Data Analysis | Data Link | Data Interpretation | Data Visualization

Data Recovery

Urban Business Model

Translation into urban services and business models.


Interactive exchange

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.


Dashboard Data4City

Who uses urban data?

Symbol für Eingabegerät bei Data4CityCompanies: Development of innovative products and services

Symbol für Nutzer von Data4City

Planners: Data-based optimization of planning processes

Symbol für Stadtverwaltung bei Data4City

Bürger und Stadtverwaltung: Citizens and city administration

Symbol für Data4City Investoren

Investors: Investment security, higher added value of real estate, sustainability

Symbol für Wirtschaft bei Data4City

Economy: New business and enterprise models

Download the PinCity App now!

The PinCity App collects targeted local data, analyzes and exploits them to explore new ways to intelligent, demand- and citizen-oriented urban development. In addition to a sensor network to be established, regular targeted surveys are conducted on the opinions and feelings of Johannstadt residents about their neighbourhood. The project is looking for committed and motivated citizens for these surveys.
Download the PinCity App now and actively improve your neighborhood.

Download Google Play

Download App Store

PinCity interactive citizen app

Project Coordination

Project Coordinator: Niels Delater
Academic Coordinator: Prof. Dr.-Ing. Jörg Rainer Noennig
Research Project Manager:
Dipl.-Ing. David Hick

Project Period: November 2017 – October 2019