The Physical Density of the City - Deconstruction of the Delusive Density Measure with Evidence from Two European Megacities

Density is among the most important descriptive as well as normative measures in urban research. While its basic concept is generally understandable, approaches towards the density measure are manifold, diverse and of multidimensional complexity. This evolves from differing thematic, spatial and calculative specifications. Consequently, applied density measures are often used in a subjective, non-transparent, unspecific and thus non-comparable manner. In this paper, we aim at a systematic deconstruction of the measure density. Varying thematic, spatial and calculative dimensions show significant influence on the measure. With both quantitative and qualitative techniques of evaluation, we assess the particular influences on the measure density. To do so, we reduce our experiment setting to a mere physical perspective; that is, the quantitative measures building density, degree of soil sealing, floor space density and, more specifically, the density of generic structural classes such as open spaces and highest built-up density areas. Using up-to-date geodata derived from remote sensing and volunteered geographic information, we build upon high-quality spatial information products such as 3-D city models. Exemplified for the comparison of two European megacities, namely Paris and London, we reveal and systemize necessary variables to be clearly defined for meaningful conclusions using the density measure.

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

[2]  Ernst Giese,et al.  Statistische Methoden in der Geographie , 1985 .

[3]  D. Goodin The cambridge dictionary of statistics , 1999 .

[4]  K. Small,et al.  URBAN SPATIAL STRUCTURE. , 1997 .

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

[6]  P. d’Angelo Image Matching and Outlier Removal For large Scale DSM Generation , 2010 .

[7]  M. Batty,et al.  Limited Urban Growth: London's Street Network Dynamics since the 18th Century , 2012, PloS one.

[8]  Nektarios Chrysoulakis,et al.  Urban Atlas, land use modelling and spatial metric techniques , 2011 .

[9]  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 .

[10]  Hannes Taubenböck,et al.  disP Service , 2015 .

[11]  Bill Hillier,et al.  Space is the machine , 1996 .

[12]  Executive Summary World Urbanization Prospects: The 2018 Revision , 2019 .

[13]  D. Civco,et al.  Working Paper: The Persistent Decline in Urban Densities: Global and Historical Evidence of Sprawl , 2009 .

[14]  D. McMillen Testing for Monocentricity , 2007 .

[15]  Qihao Weng,et al.  Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends , 2012 .

[16]  Hannes Taubenböck,et al.  Automated Allocation of Highly Structured Urban Areas in Homogeneous Zones From Remote Sensing Data by Savitzky–Golay Filtering and Curve Sketching , 2006, IEEE Geoscience and Remote Sensing Letters.

[17]  Alexander Ståhle,et al.  Compact sprawl : Exploring public open space and contradictions in urban density , 2008 .

[18]  Bernd Resch,et al.  From Social Sensor Data to Collective Human Behaviour Patterns - Analysing and Visualising Spatio-Temporal Dynamics in Urban Environments , 2012 .

[19]  Hannes Taubenböck,et al.  A Comprehensive View on Urban Spatial Structure: Urban Density Patterns of German City Regions , 2016, ISPRS Int. J. Geo Inf..

[20]  M. Batty The Size, Scale, and Shape of Cities , 2008, Science.

[21]  Colin McFarlane,et al.  The geographies of urban density , 2016 .

[22]  Ellen Banzhaf,et al.  Monitoring Urban Structure Types as Spatial Indicators With CIR Aerial Photographs for a More Effective Urban Environmental Management , 2008, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[23]  Denise Pumain,et al.  Built-Up Encroachment and the Urban Field: A Comparison of Forty European Cities , 2008 .

[24]  Hannes Taubenböck,et al.  Investigating the Applicability of Cartosat-1 DEMs and Topographic Maps to Localize Large-Area Urban Mass Concentrations , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[25]  Stefan Siedentop,et al.  Ursachen, Ausprägungen und Wirkungen der globalen Urbanisierung – ein Überblick , 2015 .

[26]  Vítor Oliveira,et al.  Urban Morphology: An Introduction to the Study of the Physical Form of Cities , 2016 .

[27]  Angelika Krehl,et al.  Urban spatial structure: an interaction between employment and built-up volumes , 2015 .

[28]  R. Paddison Triumph of the City , 2012 .

[29]  D. McMillen,et al.  Employment Densities, Spatial Autocorrelation, and Subcenters in Large Metropolitan Areas , 2004 .

[30]  Jason Barr,et al.  The Floor Area Ratio Gradient: New York City, 1890-2007 , 2014 .

[31]  R. Blong,et al.  The 2003 Heat Wave in France: Dangerous Climate Change Here and Now , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[32]  M. Batty,et al.  Representing multifunctional cities: density and diversity in space and time , 2004 .

[33]  Jianguo Wu,et al.  A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA , 2004, Landscape Ecology.

[34]  Hannes Taubenböck,et al.  Die Morphologie deutscher Großstädte: Was die Dichte über die Struktur der Städte verrät , 2015 .

[35]  Michael Batty,et al.  Revealing centrality in the spatial structure of cities from human activity patterns , 2017 .

[36]  A. St̊ahle More green space in a denser city: Critical relations between user experience and urban form , 2010 .

[37]  Alain Bertaud The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence? , 2004 .