Data4City: The Urban Voice Shapes the City of the Future
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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!

Go to D4C website
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For Android & iOS

PinCity - The Smart City App

The PinCity App is a result of the Data4City project. The Data4City project explores new ways of collecting data with the help of a local community of citizens. The aim is to create an alternative to the trend of many sensors in our cities.

Download and test the PinCity App now!

The PinCity App collects targeted local data, which is analyzed and exploited to explore new ways to intelligent, demand- and citizen-oriented urban development. With the app, citizens can answer location-related questions about cleanliness, security, parking, bin and container filling levels and more, helping to create a real-time data basis for urban services. In addition, users can tag and share their own location-related topics, ideas and issues.
Download the PinCity App now and actively support our research.

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PinCity interactive citizen app

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.

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Data4City

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 and 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

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

Support

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.

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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