Urban Skylines: building heights and shapes as measures of city size

The shape of buildings plays a critical role in the energy efficiency, lifestyles, land use and infrastructure systems of cities. Thus, as most of the world's cities continue to grow and develop, understanding the interplay between the characteristics of urban environments and the built form of cities is essential to achieve local and global sustainability goals. Here, we compile and analyze the most extensive data set of building shapes to date, covering more than 4.8 million individual buildings across several major cities in North America. We show that average building height increases systematically with city size and follows theoretical predictions derived from urban scaling theory. We also study the allometric relationship between surface area and volume of buildings in terms of characteristic shape parameters. This allows us to demonstrate that the reported trend towards higher (and more voluminous) buildings effectively decreases the average surface-to-volume ratio, suggesting potentially significant energy savings with growing city size. At the same time, however, the surface-to-volume ratio increases in the downtown cores of large cities, due to shape effects and specifically to the proliferation of tall, needlelike buildings. Thus, the issue of changes in building shapes with city size and associated energy management problem is highly heterogeneous. It requires a systematic approach that includes the factors that drive the form of built environments, entangling physical, infrastructural and socioeconomic aspects of cities.

[1]  S. Evans,et al.  Wall area, volume and plan depth in the building stock , 2009 .

[2]  David Skillicorn,et al.  Cost Modelling , 1999, Research Directions in Parallel Functional Programming.

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

[4]  P. Gordon,et al.  Beyond Polycentricity: The Dispersed Metropolis, Los Angeles, 1970-1990 , 1996 .

[5]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[6]  .. Howarda,et al.  patial distribution of urban building energy consumption by end use , 2011 .

[7]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[8]  Timothy R. Oke,et al.  Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations , 2014 .

[9]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[10]  Daniel Mendoza,et al.  Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States , 2010 .

[11]  Vijay Modi,et al.  Spatial distribution of urban building energy consumption by end use , 2012 .

[12]  Nicholas C. Coops,et al.  Predicting building ages from LiDAR data with random forests for building energy modeling , 2014 .

[13]  Tom Heath,et al.  Tall Buildings and the Urban Skyline , 2000 .

[14]  J. Brueckner,et al.  Analyzing building-height restrictions: predicted impacts and welfare costs , 2005 .

[15]  Philip Steadman Allometry and built form: revisiting Ranko Bon's work with the Harvard Philomorphs , 2006 .

[16]  R. Naroll Floor Area and Settlement Population , 1962, American Antiquity.

[17]  David Lee,et al.  ENERNET: Studying the dynamic relationship between building occupancy and energy consumption , 2012 .

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

[19]  M. Batty,et al.  Scaling and allometry in the building geometries of Greater London , 2008, 0804.2442.

[20]  K. Oleson,et al.  Strong contributions of local background climate to urban heat islands , 2014, Nature.

[21]  Georgios K. Ouzounis,et al.  Smart cities of the future , 2012, The European Physical Journal Special Topics.

[22]  L. Bettencourt,et al.  Supplementary Materials for The Origins of Scaling in Cities , 2013 .

[23]  Christa Brelsford,et al.  The Topology of Cities , 2015 .

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

[25]  C. Ratti,et al.  Energy consumption and urban texture , 2005 .