ReSpace – Reclaiming Spaces

ReSpace is developing an AI-based model for identifying, categorizing, and activating sealed areas. Existing data sources (aerial and satellite images, mobile network data, land registry entries) are integrated and enhanced with dynamic analysis to derive evidence-based recommendations for action.

Short Description

Starting point/Motivation

The increasing land sealing in cities hampers sustainable urban development and climate adaptation. Comprehensive datasets for identifying unused sealed areas are lacking, making targeted measures difficult.

Challenges

Integration and harmonization of heterogeneous data sources
Development of efficient AI models for automated land categorization
Ensuring scalability and replicability of the methodology

Content and Goals

ReSpace is developing an AI-based model for identifying and activating sealed areas. It integrates various data sources such as satellite images, mobile data, and land registry records to provide evidence-based solutions for sustainable urban development, circular economy, and construction logistics.

ReSpace enables:

Precise identification of unused land
Development of sustainable usage concepts
Data-driven decision-making for policymakers and urban planners

Methods

Data Collection & Analysis: Combining various data sources to create an accurate and up-to-date representation.
AI-Based Modeling: Automated identification of brownfield sites using machine learning methods.
Reuse Concepts: Developing utilization scenarios for land activation (e.g., urban greening, circular economy, construction logistics, social infrastructure).
Pilot Applications: Implementation in Vienna, Linz, and Salzburg to demonstrate transferable usage concepts.

Expected Results

Identification and activation of unused sealed areas
Provision of data-driven decision-making tools for urban planning
Development of sustainable utilization concepts
Increased efficiency in construction logistics through optimized land availability
Scalable and transferable AI-based solution

By developing a flexible AI model for land activation, ReSpace makes a significant contribution to reducing land sealing and promoting sustainable urban development.

Project Partners

Projektleitung

Digital Findet Stadt GmbH

Projekt- bzw. Kooperationspartner:innen

AIT Austrian Institute of Technology GmbH
N Vision Software GmbH
Research Studios Austria Forschungsgesellschaft mbH
SC CONCEPTS e.U.

Contact Address

Digital Findet Stadt GmbH
Prinz-Eugen-Strasse 18/1/7
A-1040 Vienna
Tel.: +43 (664) 418 92 14
E-Mail: office@digitalfindetstadt.at
Web: www.digitalfindetstadt.at