Computational approaches for urban environments: An editorial

Abstract

Cities are under continuous pressure due to an increasing urbanization which will have far-reaching consequences for housing, transportation, retail, etc. To cope with these challenges, methodological advances in quantitative modeling coupled with growing amounts of spatial and spatiotemporal data can add significantly to our understanding of how cities function. Because the added value of data-driven approaches to analyze urban environments is promising but still in its infancy, the present volume aims to promote the application of advanced computational methodologies to achieve a better understanding of our cities and the underlying mechanisms.