Urban Street Networks, a Comparative Analysis of Ten European Cities
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We compare the structural properties of the street networks of ten different European cities using their primal representation. We investigate the properties of the geometry of the networks and a set of centrality measures highlighting differences and similarities between cases. In particular, we found that cities share structural similarities due to their quasiplanarity but that there are also several distinctive geometrical properties. A principal component analysis is performed on the distributions of centralities and their respective moments, which is used to find distinctive characteristics by which we can classify cities into families. We believe that, beyond the improvement of the empirical knowledge on streets' network properties, our findings can open new perspectives into the scientific relationship between city planning and complex networks, stimulating the debate on the effectiveness of the set of knowledge that statistical physics can contribute for city planning and urban-morphology studies.
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Industrial cities can be classified using characteristic spatial patterns and common principles, such as an organization centred around nodes of economic activity.
“Urban data analytics further show that industrial cities can be classified using characteristic spatial patterns and common principles, such as an organization centred around nodes of economic activity 42,43,129,177 .”
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- Authors
- Strano, E., Viana, M., da Fontoura Costa, L., Cardillo, A., Porta, S., & Latora, V.
- Affiliations
- University of Strathclyde (GB)
- Universidade de São Paulo (BR)
- Institute of Physics of São Carlos, University of São Paulo, São Paulo, Brazil
- Universidad de Zaragoza (ES)
- University of London (GB)
- Corresponding author
- Strano, Emanuele
- Viana, Matheus
- Cardillo, Alessio
- Porta, Sergio
- Latora, Vito
- Venue
- Environment and Planning B: Planning and Design
- Publisher
- SAGE Publications
- Published
- 2013-12
- Volume
- 40
- Issue
- 6
- Pages
- 1071-1086
- ISSN
- 0265-8135 (ISSN-L)
- 1472-3417
- OpenAlex
- W2086799036
- Cited by
- 121
- References
- 57
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 9 · 2023: 7 · 2022: 14 · 2021: 10 · 2020: 12 · 2019: 10 · 2018: 16 · 2017: 18 · 2016: 7 · 2015: 3 · 2014: 3 · 2013: 1
- FWCI
- 8.15
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Environment and Planning B Planning and Design (publishedVersion)
- Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Engineering › Building and Construction › Urban Design and Spatial Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Urban Studies › Global Urban Networks and Dynamics
- Keywords
- urban road networks, network geometry, network centrality, urban classification, urban morphology, urban planning, complex networks, European cities
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