Insight

INSIGHT:

The overall goal of INSIGHT is to investigate how ICT, with particular focus on data science and complexity theory, can help European cities formulate and evaluate policy alternatives to stimulate a balanced economic recovery and ensure a sustainable urban development. The specific objectives of the project are the following: (1) to investigate how data from multiple distributed sources available in the context of the open data, the big data and the smart city movements, can be managed, analysed and visualised to understand urban development patterns; (2) to apply these data mining functionalities to characterise the drivers of the spatial distribution of activities in European cities, focusing on the retail, housing, and public services sectors, and paying special attention to the impact of the current economic crisis; (3) to develop enhanced spatial interaction and location models for the retail, housing, and public services sectors; (4) to integrate the new theoretical models into state-of-the-art simulation tools, in order to develop enhanced decision support systems able to provide scientific evidence in support of policy options for post-crisis urban development; (5) to develop innovative visualisation tools to facilitate stakeholder interaction with the new urban simulation and decision support tools and the analysis and interpretation of the simulation outcomes; (6) to develop methodological procedures for the use of the tools in policy design processes, and evaluate and demonstrate the capabilities of the tools through four case studies carried out in cooperation with the cities of Barcelona, Madrid, London, and Rotterdam.

How ICT helps to ensure a sustainable urban development

The overall goal of INSIGHT is to investigate how ICT, with particular focus on data science and complexity theory, can help European cities formulate and evaluate policy alternatives to stimulate a balanced economic recovery and ensure a sustainable urban development.

The specific objectives of the project are the following:

(1) to investigate how data from multiple distributed sources available in the context of the open data, the big data and the smart city movements, can be managed, analysed and visualised to understand urban development patterns;

(2) to apply these data mining functionalities to characterise the drivers of the spatial distribution of activities in European cities, focusing on the retail, housing, and public services sectors, and paying special attention to the impact of the current economic crisis;

(3) to develop enhanced spatial interaction and location models for the retail, housing, and public services sectors;

(4) to integrate the new theoretical models into state-of-the-art simulation tools, in order to develop enhanced decision support systems able to provide scientific evidence in support of policy options for post-crisis urban development;

(5) to develop innovative visualisation tools to facilitate stakeholder interaction with the new urban simulation and decision support tools and the analysis and interpretation of the simulation outcomes;

(6) to develop methodological procedures for the use of the tools in policy design processes, and evaluate and demonstrate the capabilities of the tools through four case studies carried out in cooperation with the cities of Barcelona, Madrid, London, and Rotterdam.