The impact of urban proximity, transport accessibility and policy on urban growth: A longitudinal analysis over five decades

Transport accessibility is assumed to be a main driver of urbanisation. Like many other metropolitan regions, the Randstad, the population and economic core of the Netherlands has experienced significant urbanisation, transport network expansion and spatial policies aimed to channel urban growth. This paper investigates the long-term relationships between the development of railway and motorway networks, urbanisation, and spatial policies, by using a panel dataset consisting of grid cells measured at six time points from 1960 to 2010. Generalised Estimating Equations analysis was applied to model the built-up area. Predictors include proximity to and accessibility by transport infrastructure, vicinity of urban areas, and spatial policies. Results indicate that road and rail accessibility alike, stably influenced urbanisation, but less than proximity to urban areas. Spatial policies played a significant role in channelling new urbanisation, while preserving the centrally located green and mainly rural area. Remarkably, the legacy of earlier policies is still significant despite shifts in predominant Dutch spatial policies. The findings are expected to be relevant for comparable poly-nuclear areas.

[1]  T. Spit,et al.  Planning the compact city: The randstad Holland experience , 1999 .

[2]  D. K. Moghaddam,et al.  Transport Networks, Land Use and Travel Behaviour: a Long Term Investigation , 2017 .

[3]  Miguel Padeiro,et al.  Transport infrastructures and employment growth in the Paris metropolitan margins , 2013 .

[4]  H. Overman,et al.  Causes of Sprawl: A Portrait from Space , 2006 .

[5]  L. Salvati,et al.  Land-use structure, urban growth, and periurban landscape: a multivariate classification of the European cities , 2015 .

[6]  Miquel-Àngel Garcia-López Urban spatial structure, suburbanization and transportation in Barcelona , 2012 .

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

[8]  J. Twisk,et al.  Longitudinal Data Analysis. A Comparison Between Generalized Estimating Equations and Random Coefficient Analysis , 2003, European Journal of Epidemiology.

[9]  M. Wegener,et al.  Land-Use Transport Interaction: State of the Art , 2004 .

[10]  WenSui Liu,et al.  Modeling Fractional Outcomes with SAS , 2014 .

[11]  David M Levinson,et al.  Predicting Land Use Change , 2009 .

[12]  Alasdair Turner,et al.  From Axial to Road-Centre Lines: A New Representation for Space Syntax and a New Model of Route Choice for Transport Network Analysis , 2007 .

[13]  David M Levinson,et al.  Paving New Ground: A Markov Chain Model of the Change in Transportation Networks and Land Use , 2005 .

[14]  R. Cervero,et al.  TWENTY YEARS OF THE BAY AREA RAPID TRANSIT SYSTEM: LAND USE AND DEVELOPMENT IMPACTS , 1997 .

[15]  Jordi Martí-Henneberg,et al.  Railways and Population Distribution: France, Spain, and Portugal, 1870–2000 , 2011, Journal of Interdisciplinary History.

[16]  Michael Haines,et al.  Did Railroads Induce or Follow Economic Growth? , 2009, Social Science History.

[17]  Pelin Alpkokin,et al.  Historical and critical review of spatial and transport planning in the Netherlands , 2012 .

[18]  Ton C M de Nijs,et al.  Determinants of Land-Use Change Patterns in the Netherlands , 2004 .

[19]  Ian Masser,et al.  Modelling Urban Growth Patterns: A Multiscale Perspective , 2003 .

[20]  G. Duranton,et al.  Urban Growth and Transportation , 2008 .

[21]  Michael Wegener,et al.  COMPACT CITY AND URBAN SPRAWL , 2004 .

[22]  Jan Anne Annema,et al.  200 years of Dutch transport policy , 2009 .

[23]  D. Stead,et al.  Long-term impacts of transport infrastructure networks on land-use change: an international review of empirical studies , 2016 .

[24]  A. Yeh,et al.  Changing Spatial Distribution and Determinants of Land Development in Chinese Cities in the Transition from a Centrally Planned Economy to a Socialist Market Economy: A Case Study of Guangzhou , 1997 .

[25]  J. Twisk,et al.  Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide , 2003 .

[26]  Takeshi Arai,et al.  Empirical analysis for estimating land use transition potential functions - case in the Tokyo metropolitan region , 2004, Comput. Environ. Urban Syst..

[27]  Zhehui Luo,et al.  Fixed effects, random effects and GEE: What are the differences? , 2009, Statistics in medicine.

[28]  R. Margo,et al.  Did Railroads Induce or Follow Economic Growth?: Urbanization and Population Growth in the American Midwest, 1850–1860 , 2010 .

[29]  Zhiyong Hu,et al.  Modeling urban growth in Atlanta using logistic regression , 2007, Comput. Environ. Urban Syst..

[30]  M. Küchler,et al.  Urban growth along motorways in Switzerland , 2010 .

[31]  Andreas Faludi,et al.  Rule and Order, Dutch Planning Doctrine in the Twentieth Century , 1994 .

[32]  Y. Wei,et al.  Modeling Spatial Variations of Urban Growth Patterns in Chinese Cities: The Case of Nanjing , 2009 .

[33]  Bert van Wee,et al.  Ex-post Evaluation of Thirty Years of Compact Urban Development in the Netherlands , 2006 .

[34]  Leslie E. Papke,et al.  Panel data methods for fractional response variables with an application to test pass rates , 2008 .

[35]  Piet Rietveld,et al.  An accessibility approach to railways and municipal population growth, 1840-1930 , 2012 .

[36]  Dominic Stead,et al.  Land Use and Travel Behaviour: Expected Effects from the Perspective of Utility Theory and Activity-Based Theories , 2005 .

[37]  David M Levinson,et al.  Density and Dispersion: The Co-Development of Land Use and Rail in London , 2007 .

[38]  Nathaniel Baum-Snow,et al.  Did Highways Cause Suburbanization , 2007 .