Raimbault, J;
(2018)
Indirect evidence of network effects in a system of cities.
Environment and Planning B: Urban Analytics and City Science
10.1177/2399808318774335.
(In press).
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Abstract
We describe a simple spatial model of urban growth for systems of cities at the macroscopic scale, which combines direct interaction between cities and an indirect effect of physical network flows as population growth drivers. The model is parametrized on population data for the French system of cities between 1831 and 1999, in which strong non-stationarity in correlation patterns suggest to apply the model on local time windows. The corresponding calibration of the model using genetic algorithms provides the evolution of interaction processes and network effects in time. Furthermore, the fit improvement when adding network module appears effective when controlling for additional parameters, what confirms the ability of the model to unveil network effects in the system of cities.
| Type: | Article |
|---|---|
| Title: | Indirect evidence of network effects in a system of cities |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1177/2399808318774335 |
| Publisher version: | https://doi.org/10.1177%2F2399808318774335 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Urban systems, urban growth, spatial interactions, network effects, empirical Akaike Information Criterion |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10070377 |
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