The spatial network of megaregions - Types of connectivity between cities based on settlement patterns derived from EO-data

Megaregions are important phenomena of globalization's new urban scale and form. These regions are considered the drivers of global economy, innovation, technology and the labor market. In combination with the global megatrend of urbanization, new dimensions and patterns are evolving conceptualized e.g. by this term ‘megaregion’. Using multi-source and multi-temporal satellite data we classify urban footprints and their spatial evolution since the 1970s of five selected megaregions across the globe, namely the megaregions of Southern California anchord by Los Angeles in USA and the Mexican border area, the mega-region Sao Paulo–Rio de Janeiro in Brazil, the Nile delta anchord by Cairo in Egypt, the mega-region Amsterdam–Rotterdam, Ruhr–Cologne, Brussels–Antwerp and Lille in Europe, and the megaregion Guangzhou–Shenzhen–Hong Kong in China. Based on this geospatial data set, we develop a spatial metric to measure spatial connectivity between cities based on the continuity of settlement patterns. The network of cities within the particular megaregions is based on demographic information. The result is on the one hand an evaluation of the spatial continuity of settlements between the cities within the networks. On the other hand, comparisons whether the settlement patterns in megaregions across the globe are similar or not are performed. We conclude with the finding that three types of megaregions can be spatially classified and one suggested megaregion is spatially not yet connected.

[1]  Joan Marull,et al.  Modelling urban networks at mega-regional scale: Are increasingly complex urban systems sustainable? , 2015 .

[2]  T. Esch,et al.  New dimensions of urban landscapes: The spatio-temporal evolution from a polynuclei area to a mega-region based on remote sensing data , 2014 .

[3]  Tim Gulden,et al.  The Rise of the Mega-Region , 2008 .

[4]  Nicholas C. Coops,et al.  A Geographical Approach to Identifying Vegetation-Related Environmental Equity in Canadian Cities , 2010 .

[5]  Nicholas C. Coops,et al.  A LiDAR-based urban metabolism approach to neighbourhood scale energy and carbon emissions modelling , 2010 .

[6]  Hannes Taubenböck,et al.  Zu Stein gewordene Philosophien - die Morphologie geplanter Wohnviertel , 2015 .

[7]  Allen J. Scott,et al.  Globalization and the Rise of City-regions , 2001 .

[8]  Arthur Christian Nelson,et al.  America 2040: The rise of the megapolitans , 2007 .

[9]  D. Civco,et al.  THE DIMENSIONS OF GLOBAL URBAN EXPANSION: ESTIMATES AND PROJECTIONS FOR ALL COUNTRIES, 2000–2050 , 2011 .

[10]  J. Gottmann,et al.  Megalopolis or the Urbanization of the Northeastern Seaboard , 1957 .

[11]  Thomas Esch,et al.  Urban Footprint Processor—Fully Automated Processing Chain Generating Settlement Masks From Global Data of the TanDEM-X Mission , 2013, IEEE Geoscience and Remote Sensing Letters.

[12]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[13]  G. Wagner,et al.  Am Ende der Kernstadt – ein Versuch der Abgrenzung des Physischen durch das Subjektive , 2015 .

[14]  Catherine L. Ross,et al.  Megaregions: Literature Review of Organizational Structures and Finance of Multi-jurisdictional Initiatives and the Implications for Megaregion Transportation Planning in the U.S , 2011 .

[15]  Patrick Hostert,et al.  Mapping megacity growth with multi-sensor data , 2010 .

[16]  C. Doxiadis.  Ekistics: An introduction to the science of human settlements , 1968 .

[17]  B. Derudder,et al.  World City Network: A global urban analysis , 2003 .

[18]  Thomas Esch,et al.  Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data , 2011, IEEE Geoscience and Remote Sensing Letters.

[19]  T. Esch,et al.  Delineation of Central Business Districts in mega city regions using remotely sensed data , 2013 .

[20]  Kathy Pain,et al.  The Polycentric Metropolis: Learning from Mega-City Regions in Europe , 2009 .

[21]  Thomas Blaschke,et al.  New spatial dimensions of global cityscapes: From reviewing existing concepts to a conceptual spatial approach , 2016, Journal of Geographical Sciences.

[22]  Juan C. Duque,et al.  Using remote sensing to assess the relationship between crime and the urban layout , 2014 .

[23]  Rafael Boix,et al.  An insight on the unit of analysis in urban research , 2013 .

[24]  Hannes Taubenböck,et al.  TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns , 2012 .

[25]  Huadong Guo,et al.  A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[26]  D. Lu,et al.  A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces , 2014 .

[27]  David Potere,et al.  Comparison of Global Urban Maps , 2009 .

[28]  Benjamin Bechtel.  Die Hitze in der Stadt verstehen – Wie sich die jahreszeitliche Temperaturdynamik von Städten aus dem All beobachten lässt , 2015 .

[29]  Josep Roca,et al.  URBAN DETECTION, DELIMITATION AND MORPHOLOGY: COMPARATIVE ANALYSIS OF SELECTIVE "MEGACITIES" , 2012 .

[30]  Arnoud Lagendijk,et al.  Contextualising Regional Identity and Imagination in the Construction of Polycentric Urban Regions: The Cases of the Ruhr Area and the Basque Country , 2001 .

[31]  B. Derudder,et al.  U.S. Cities in the World City Network: Comparing their Positions using Global Origins and Destinations of Airline Passengers , 2007 .

[32]  Richard Florida,et al.  The rise of the creative class, revisited , 2012 .

[33]  Ge Song,et al.  Measuring Spatial Structure of China’s Megaregions , 2015 .

[34]  Robin Hecht,et al.  Automatische Klassifizierung von Gebäudegrundrissen: ein Beitrag zur kleinräumigen Beschreibung der Siedlungsstruktur , 2014 .

[35]  Stefan Siedentop,et al.  Who Sprawls Most? Exploring the Patterns of Urban Growth across 26 European Countries , 2012 .

[36]  David F. Batten,et al.  Network Cities: Creative Urban Agglomerations for the 21st Century , 1995 .

[37]  Y. Yamagata,et al.  Landsat analysis of urban growth: How Tokyo became the world's largest megacity during the last 40 years , 2012 .

[38]  Joan Marull,et al.  Emerging megaregions: A new spatial scale to explore urban sustainability , 2013 .

[39]  T. Esch,et al.  Monitoring urbanization in mega cities from space , 2012 .

[40]  M. Kuffer,et al.  Urban morphology of unplanned settlements: the use of spatial metrics in VHR remotely sensed images , 2011 .

[41]  Annekatrin Metz,et al.  Dimensioning urbanization – An advanced procedure for characterizing human settlement properties and patterns using spatial network analysis , 2014 .

[42]  P. Geddes.  Cities in Evolution: An Introduction to the Town Planning Movement and to the Study of Civics , 1968 .

[43]  Michael Hoyler,et al.  Megaregions: foundations, frailties, futures , 2015 .

[44]  Robert E. Lang,et al.  Beyond Megalopolis: Exploring America’s New “Megapolitan” Geography , 2005 .

[45]  Edward L. Glaeser,et al.  Triumph of the city , 2012 .

[46]  C. Whebell,et al.  CORRIDORS: A THEORY OF URBAN SYSTEMS , 1969 .

[47]  George F. Jenks,et al.  ERROR ON CHOROPLETHIC MAPS: DEFINITION, MEASUREMENT, REDUCTION , 1971 .

[48]  Luuk Boelens,et al.  Self-organization in urban development: towards a new perspective on spatial planning , 2011 .

[49]  P. Hall.  Looking Backward, Looking Forward: The City Region of the Mid-21st Century , 2009 .

[50]  Margaret Robertson,et al.  The Endless City , 2008 .

[51]  Michael Wurm,et al.  Dichter dran! Neue Möglichkeiten der Vernetzung von Geobasis-, Statistik- und Erdbeobachtungsdaten zur räumlichen Analyse und Visualisierung von Stadtstrukturen mit Dichteoberflächen und -profilen , 2014 .

[52]  Kathy Pain,et al.  Spatial Transformations of Cities: Global City-region? Mega-city Region? , 2011 .

[53]  C. Elvidge,et al.  Night-time lights of the world: 1994–1995 , 2001 .

[54]  J. Friedmann,et al.  THE URBAN FIELD , 1965 .

[55]  S. Frolking,et al.  A global fingerprint of macro-scale changes in urban structure from 1999 to 2009 , 2013 .