A Complex Network Approach to Urban Growth
Open accessAbstract
Economic geography can be viewed as a large and growing network of interacting activities. This fundamental network structure and the large size of such systems makes the complex network approach an attractive model for growth dynamics modeling. In this paper the authors propose the use of complex networks for geographical modeling and demonstrate how such an application can be combined with a cellular model to produce output that is consistent with large-scale regularities such as power laws and fractality. Complex networks can provide a stringent framework for growth dynamic modeling where concepts from, for example, spatial interaction models and multiplicative growth models, can be combined with the flexible representation of land and behaviour found in cellular automata and agent-based models. In addition, there exists a large body of theory for the analysis of complex networks that have direct applications in urban geographic problems. The intended use of such models is twofold: (1) to address the problem of how the empirically observed hierarchical structure of settlements can be explained as a stationary property of a stochastic evolutionary process rather than as equilibrium points in a dynamic process, and, (2) to improve the predictive quality of applied urban modeling.
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The evolution of social and economic life in cities increases with population size: wages, income, gross domestic product and bank deposits scale superlinearly, over different years and nations, with statistically consistent exponents.
“The evolution of social and economic life in cities increases with population size: wages, income, gross domestic product and bank deposits scale super linearly, over different years and nations, with statistically consistent exponents (Bettencourt et al. 2007;Andersson et al. 2006;Florida 2004;Barabasi and Albert 1999).”
From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Andersson et al. 2006
The Model validation section reports a linear relationship between population and land value for Swedish clusters, not superlinear scaling of wages, income, GDP, or bank deposits. Searches for those measures and for consistent exponents across years and nations found no passage addressing the attributed finding. (LLM, conf=0.78)
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Cites
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“This also means that entropy measures that are commonly used in spatial interaction modeling could also find use in relation to complex networks (Wilson, 1967; 1970).”
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A Network Approach to Link Visibility and Urban Activity Location
Natapov, A., Czamanski, D., & Fisher-Gewirtzman, D. (2018) · Networks and Spatial Economics · doi:10.1007/s11067-018-9411-4 · Cited by 11 · see citing works
“…economic life in cities increases with population size: wages, income, gross domestic product and bank deposits scale super linearly, over different years and nations, with statistically consistent exponents (Bettencourt et al. 2007; Andersson et al. 2006; Florida 2004; Barabasi and Albert 1999).”
Background
- Authors
- Andersson, C., Frenken, K., & Hellervik, A.
- Affiliations
- Chalmers University of Technology (SE)
- Utrecht University (NL)
- Brunel University of London (GB)
- Corresponding author
- Andersson, Claes
- Frenken, Koen
- Hellervik, Alexander
- Venue
- Environment and Planning A: Economy and Space
- Publisher
- SAGE Publications
- Published
- 2006-10
- Volume
- 38
- Issue
- 10
- Pages
- 1941-1964
- ISSN
- 0308-518X (ISSN-L)
- 1472-3409
- OpenAlex
- W2059757199
- Cited by
- 67
- References
- 2
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 4 · 2021: 5 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 5 · 2016: 1 · 2015: 3 · 2014: 5 · 2013: 6 · 2012: 2
- FWCI
- 9.47
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.library.uu.nl
- Locations
- Environment and Planning A Economy and Space (publishedVersion)
- TU/e Research Portal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- TU/e Research Portal (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Regional Economics and Spatial Analysis
- Physical Sciences › Engineering › Building and Construction › Urban Design and Spatial Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- urban expansion, complex networks, cellular automata, agent-based modeling, power law, fractality, settlement hierarchy, spatial interaction models, urban modeling
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