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Journal of Economic Geography Advance Access published online on October 26, 2007

Journal of Economic Geography, doi:10.1093/jeg/lbm038
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© The Author (2007). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Density and dispersion: the co-development of land use and rail in London

David Levinson*,**

*Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55455, USA. email < dlevinson{at}umn.edu>
**Department of Civil and Environmental Engineering, Imperial College, London, UK

This article examines the changes that occurred in the rail network and density of population in London during the 19th and 20th centuries. It aims to disentangle the ‘chicken and egg’ problem of which came first, network or land development, through a set of statistical analyses clearly distinguishing events by order. Using panel data representing the 33 boroughs of London over each decade from 1871 to 2001, the research finds that there is a positive feedback effect between population density and network density. Additional rail stations (either Underground or surface) are positive factors leading to subsequent increases in population in the suburbs of London, while additional population density is a factor in subsequently deploying more rail. These effects differ in central London, where the additional accessibility produced by rail led to commercial development and concomitant depopulation. There are also differences in the effects associated with surface rail stations and Underground stations, as the Underground was able to get into central London in a way that surface rail could not. However, the two networks were weak (and statistically insignificant) substitutes for each other in the suburbs, while the density of surface rail stations was a complement to the Underground in the center, though not vice versa.

Keywords: transport, land use, London Underground, London railways, network growth, induced demand, induced supply, panel data, cross-section time series,
JEL classifications: R42, R31, R21, N73, N74
Date submitted: 23 May 2007     Date accepted: 25 September 2007


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