Resumen de Complex datasets to better understand complex urban networks
Complex datasets to better understand complex urban networks Massive new streams of data with respect to movement and location patterns in city systems are rapidly becoming available. Comprehensive data are being routinely collected at the individual level relating to where economic and social activities are carried out in cities.
These are providing the momentum for new developments in theory and modelling which are taking the slow but sure developments of the last twenty years to new kinds of applications relevant to policy making. Existing theories are being strengthened with empirical proof and tailored to local circumstances. This was the motivation for Emmanouil Tranos and Peter Nijkamp to organize a workshop in Amsterdam titled “Complex-city” in December 2011.
The quest of this workshop was to demonstrate how several long-standing ideas about urban dynamics might be tested and validated using new data sources that provide information about routine decision making concerning locations and interactions. As a spinoff, this theme issue focuses in particular on complex networks: networks of migration, of supply chains, employment centres, and of agents in cities
