Collecting, processing, validating and publishing statistical data are delicate processes, which require sound guidelines and structures in order to produce reliable, comparable and valid data.

Results from the ESPON Project Big Data reveal how we can use mobile positioning data as a viable data source for studying mobility-related aspects with large potentials for generating insights for growth corridors. The case study of Estonia.

A case study of the ESPON project BIG DATA on transport and mobility partnership networks in the EU based on data acquired from the KEEP database. This data contains about 2,353 projects and 18,318 partners around Europe for the programming period 2014-2020

The utilisation of spatial data that adequately captures the functionalities of corridors has been rather weak especially in the cross-border areas’ planning processes. However, many policy dimensions related to corridor development could benefit from big data. 

THE ESPON project MSP-LSI conducted a value chain analysis of coastal tourism based on a number of case studies, including the Pomeranian Bight and the Gulf of Gdansk. The findings illustrate that in all cases coastal tourism was the most important local economic sector as all areas were important destinations for national and international tourists.

In the framework of the ESPON project, MSP-LSI a value chain analysis of Maritime Cargo Transport was undertaken as part of the Netherlands, Gulf of Gdansk and Croatian Coast and Islands case studies. 

 In a speech to the European Parliament in 2011, EU Commissioner for Maritime Affairs and Fisheries Maria Damanaki, said ‘Governments are waking up to the fact that we

One of the ESPON BRIDGES goal is to create European storylines for each type of geographic specificity

Do you know the possibilities offered by digital plan data and their actual use in spatial planning?

The Territorial Agenda is a strategic policy document for Europe, its regions and communities.