Effects of changing population or density on urban carbon dioxide emissions

The question of whether urbanization contributes to increasing carbon dioxide emissions has been mainly investigated via scaling relationships with population or population density. However, these approaches overlook the correlations between population and area, and ignore possible interactions between these quantities. Here, we propose a generalized framework that simultaneously considers the effects of population and area along with possible interactions between these urban metrics. Our results significantly improve the description of emissions and reveal the coupled role between population and density on emissions. These models show that variations in emissions associated with proportionate changes in population or density may not only depend on the magnitude of these changes but also on the initial values of these quantities. For US areas, the larger the city, the higher is the impact of changing its population or density on its emissions; but population changes always have a greater effect on emissions than population density. Approaches to examine the urbanization impact on climate change ignore that interactions between size and density may have an important influence on urban emissions. Here the authors show that variations in the emissions associated with changes in population or density may not only depend on the magnitude of these changes but also on the initial values of these quantities.

[1]  Jan Kmenta,et al.  ON ESTIMATION OF THE CES PRODUCTION FUNCTION , 1967 .

[2]  P. Douglas,et al.  A theory of production , 1928 .

[3]  Yu Sang Chang,et al.  Is there more traffic congestion in larger cities? -Scaling analysis of the 101 largest U.S. urban centers- , 2017 .

[4]  T. Esch,et al.  Breaking new ground in mapping human settlements from space – The Global Urban Footprint , 2017, 1706.04862.

[5]  H. V. Ribeiro,et al.  Unveiling relationships between crime and property in England and Wales via density scale-adjusted metrics and network tools , 2018, PloS one.

[6]  L. Bettencourt,et al.  A unified theory of urban living , 2010, Nature.

[7]  Nebojsa Nakicenovic,et al.  Avoiding dangerous climate change , 2006 .

[8]  D. Jorgenson,et al.  TRANSCENDENTAL LOGARITHMIC PRODUCTION FRONTIERS , 1973 .

[9]  D. Rybski,et al.  The efficient, the intensive, and the productive: Insights from urban Kaya scaling , 2017, Applied Energy.

[10]  Sören Wibe,et al.  An introduction to cost and production functions , 1987 .

[11]  Michael Batty,et al.  Defining City Size , 2011 .

[12]  Beom Jun Kim,et al.  Scaling laws between population and facility densities , 2009, Proceedings of the National Academy of Sciences.

[13]  F. Creutzig,et al.  Urban Climate Change Mitigation in Europe: Looking at and beyond the Role of Population Density , 2014 .

[14]  Haroldo V. Ribeiro,et al.  Rural to Urban Population Density Scaling of Crime and Property Transactions in English and Welsh Parliamentary Constituencies , 2016, PloS one.

[15]  D. Helbing,et al.  Growth, innovation, scaling, and the pace of life in cities , 2007, Proceedings of the National Academy of Sciences.

[16]  M. Chertow The IPAT Equation and Its Variants , 2000 .

[17]  Gaëtan Lafrance,et al.  Modelling the electricity consumption of cities: effect of urban density , 1999 .

[18]  Hyejin Youn,et al.  The hypothesis of urban scaling: formalization, implications and challenges , 2013, 1301.5919.

[19]  Jeffrey Kenworthy,et al.  Gasoline Consumption and Cities: A Comparison of U.S. Cities with a Global Survey , 1989 .

[20]  Chao-yun Li,et al.  Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries , 2017, Mitigation and Adaptation Strategies for Global Change.

[21]  P E Waggoner,et al.  A framework for sustainability science: A renovated IPAT identity , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[22]  K. Arrow,et al.  Capital-labor substitution and economic efficiency , 1961 .

[23]  M. Batty,et al.  Constructing cities, deconstructing scaling laws , 2013, Journal of The Royal Society Interface.

[24]  Christopher M. Jones,et al.  Spatial distribution of U.S. household carbon footprints reveals suburbanization undermines greenhouse gas benefits of urban population density. , 2014, Environmental science & technology.

[25]  Bin Chen,et al.  Coupling of carbon and energy flows in cities: A meta-analysis and nexus modelling , 2017 .

[26]  Stéphane La Branche,et al.  "Review author" pour les chapitres : 7- Energy Systems, 8- Transports, 12- Human Settlements, Infrastructure And Spatial Planning, 15- National and Sub-national Policies and Institution, in Climate Change 2014: Mitigation of Climate Change, IPCC Working Group III Contribution to AR5 , 2014 .

[27]  Hernán D. Rozenfeld,et al.  Laws of population growth , 2008, Proceedings of the National Academy of Sciences.

[28]  Y. Hayashi,et al.  Changing Urban Form and Transport CO2 Emissions: An Empirical Analysis of Beijing, China , 2014 .

[29]  K. Seto,et al.  Does Size Matter? Scaling of CO2 Emissions and U.S. Urban Areas , 2013, PloS one.

[30]  Lishan Xiao,et al.  A sustainable urban form: The challenges of compactness from the viewpoint of energy consumption and carbon emission , 2015 .

[31]  A. E. Hoerl,et al.  Ridge regression: biased estimation for nonorthogonal problems , 2000 .

[32]  N. Nakicenovic,et al.  Global Energy Assessment – Toward a Sustainable Future , 2012 .

[33]  J. S. Andrade,et al.  Large cities are less green , 2014, Scientific Reports.

[34]  E. Rosa,et al.  Effects of population and affluence on CO2 emissions. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[35]  Anselmo García Cantú Ros,et al.  City density and CO2 efficiency , 2016 .

[36]  Global Energy Assessment Writing Team Global Energy Assessment: Toward a Sustainable Future , 2012 .

[37]  H. S. Matthews,et al.  Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties? , 2014 .

[38]  Bofeng Cai,et al.  Urban CO2 emissions in China: Spatial boundary and performance comparison , 2014 .

[39]  Nicholas Z. Muller,et al.  Does environmental policy affect scaling laws between population and pollution? Evidence from American metropolitan areas , 2017, PloS one.

[40]  O. Edenhofer,et al.  Climate change 2014 : mitigation of climate change , 2014 .

[41]  M. Barthelemy,et al.  How congestion shapes cities: from mobility patterns to scaling , 2014, Scientific Reports.

[42]  Global Energy Assessment Writing Team Global Energy Assessment by Global Energy Assessment Writing Team , 2012 .

[43]  Robert Tibshirani,et al.  The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.

[44]  S. Han,et al.  Urban transport carbon dioxide (CO2) emissions by commuters in rapidly developing Cities: The comparative study of Beijing and Xi’an in China , 2017, Transportation Research Part D: Transport and Environment.

[45]  Frank Southworth,et al.  The geography of metropolitan carbon footprints , 2009 .

[46]  David Dodman,et al.  Forces Driving Urban Greenhouse Gas Emissions , 2011, Planning for Climate Change.

[47]  J. Q. Stewart,et al.  Suggested Principles of "Social Physics". , 1947, Science.

[48]  Dominik E. Reusser,et al.  Cities as nuclei of sustainability? , 2013, 1304.4406.

[49]  Nahid Mohajeri,et al.  CO2 emissions in relation to street-network configuration and city size , 2015 .