Daniel Arribas-Bel

TL;DR: In this paper, a comparative analysis of nine European smart cities on the basis of an extensive database covering two time periods is presented, and a new approach based on a self-organizing map analysis is adopted to position the various cities under consideration according to their selected "smartness" performance indicators.

TL;DR: In this article, the authors address the issue of urban sprawl in Europe from a multidimensional point of view, identifying the most sprawled areas and characterizing them in terms of population size.

TL;DR: The recent emergence of three groups of data sources are reviewed and some of the opportunities and challenges they pose for the understanding of cities, particularly in the context of the Regional Science and urban research agenda are assessed.

TL;DR: In this paper, the authors investigate the common conjecture in applied econometric work that the inclusion of spatial fixed effects in a regression specification for a single cross-sectional data set removes spatial dependence and demonstrate analytically and by means of a series of simulation experiments how evidence of the removal of spatial autocorrelation by spatial fixed effect may be spurious when the true data generating processes (DGP) takes the form of a spatial lag or spatial error dependence.

TL;DR: In this paper, the distribution of centers with high employment density within metropolitan areas was analyzed using local indicators of spatial association (LISA) and other spatial analysis techniques to provide a spatiotemporal panoramic of urban spatial structure.