About this Research Topic

Manuscript Submission Deadline 27 May 2022
Manuscript Extension Submission Deadline 24 June 2022

Cities are complex systems, that emerged from the bottoms-up through millions of human interactions stretching over many millenia. Decoupling these complex evolving interactions is crucial for the advancement of our knowledge of cities. Illustrated by emerging open geospatial data, the morphologies of cities ...

Cities are complex systems, that emerged from the bottoms-up through millions of human interactions stretching over many millenia. Decoupling these complex evolving interactions is crucial for the advancement of our knowledge of cities. Illustrated by emerging open geospatial data, the morphologies of cities demonstrate the capacity for complexity, high frequency, and networkability, leading to the non-stationary shift of socioeconomic performance as well as individual's quality of life. In urban science, studies of urban morphologies allow us to observe, track and interpret a city’s evolutionary processes that are essential evidence for us to invent and intervene in them through urban policies. Decoding these morphologies and their complexities into new theories and methodologies to understand, measure, simulate and evaluate cities is a core aim in urban science.

This Research Topic aims to gather cutting-edge research on urban morphology, networks, and complexity in the new data environment. This collection welcomes novel explorations in relevant theories, methodologies, applications, and interpretations from researchers, decision-makers, geographers, and urban planners and designers using different formats of open geospatial data. This collection hopes to consolidate research in the domains and to provide new directions to further apprehend a cities configurational complexity and its socioeconomic performance, with a scope where daily life and its quality are bounded to the context that they are embedded in.

This special collection entitled, Connected Society: urban morphology, network, and complexity with open geospatial data, aims to publish high-quality, rigorously peer-reviewed papers on the essential (sub)topics in the special section Urban Science and Transportation and Transit Systems, including but not limited to urban morphology and structure, urban network analysis, complexity, emergence, big data, spatial simulation, open geospatial data science, transport-land-use interaction, regional science, social physics, etc. Research grounded in complexity science, network science, and urban science, using emerging, high-coverage, high-frequency, fine-resolution datasets are particularly welcomed.

Keywords: Morphology; Network; Complexity; Geospatial data; Society;


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