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How to measure large-scale complex urban network structures using night-time light satellite databases. Application to European metropolitan regions

How to measure large-scale complex urban network structures using night-time light satellite... This article uses new methods and evidence from satellite data on night lighting to assess the urban network structure of 100 European metropolitan regions. Its aim was to develop indicators to test the hypothesis that complex urban networks are more efficient economically and less dependent on energy consumption owing to better information organization. It uses NPP-VIIRS NTL satellite data on night lighting (NTL) and employs a topographical representation of NTL intensities to detect urban centers. Based on the distribution of NTL intensities in urban centers represented as a Lorenz curve, it develops two new indicators of monocentricity and polycentricity to evaluate large-scale urban network structures. The results show that polycentric urban networks create more innovation, which allows them to be more economically efficient and less dependent on energy consumption. Further research should study in greater detail the relationships between urban network structures and their social, economic, and ecological performances. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Environment and Planning B Urban Analytics and City Science SAGE

How to measure large-scale complex urban network structures using night-time light satellite databases. Application to European metropolitan regions

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References (44)

Publisher
SAGE
Copyright
© The Author(s) 2023
ISSN
2399-8083
eISSN
2399-8091
DOI
10.1177/23998083231151689
Publisher site
See Article on Publisher Site

Abstract

This article uses new methods and evidence from satellite data on night lighting to assess the urban network structure of 100 European metropolitan regions. Its aim was to develop indicators to test the hypothesis that complex urban networks are more efficient economically and less dependent on energy consumption owing to better information organization. It uses NPP-VIIRS NTL satellite data on night lighting (NTL) and employs a topographical representation of NTL intensities to detect urban centers. Based on the distribution of NTL intensities in urban centers represented as a Lorenz curve, it develops two new indicators of monocentricity and polycentricity to evaluate large-scale urban network structures. The results show that polycentric urban networks create more innovation, which allows them to be more economically efficient and less dependent on energy consumption. Further research should study in greater detail the relationships between urban network structures and their social, economic, and ecological performances.

Journal

Environment and Planning B Urban Analytics and City ScienceSAGE

Published: Sep 1, 2023

Keywords: large-scale metropolitan structures; complex urban networks; polycentricity; monocentricity; sustainable urban progress

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