The network analysis of urban streets: A dual approach
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Traditional, geometric, road-based models fail to observe small-world properties, while a new street-based modelling approach has obtained opposite results, by observing small-world properties for diverse methods of graph representations.
“While traditional, geometric, road-based models fail to observe small-world properties, a new street-based modelling approach has obtained opposite results, by observing small-world properties for the diverse methods of graph representations, e.g., (Jiang et al. 2014;Jiang 2007;Porta et al. 2006;Jiang and Claramunt 2004).”
From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Porta et al. 2006
The Results (p. 19) find small-world properties in four of six street-based dual graphs, while the Conclusions (p. 22) describe exceptions and caution that small-world scaling needs further investigation. The paper does not establish that traditional road-based models fail to show small-world properties, or demonstrate the result across diverse graph-representation methods. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe comparative investigations in Cardillo et al. 2006 and Porta et al. 2006 reveal scale-free degree distributions for the vertices of spatial graphs if the ICN principle is implemented.
“The comparative investigations in (Cardillo et al. 2006 andPorta et al. 2006) reveal scale-free degree distributions for the vertices of spatial graphs if the ICN (intersection continuity negotiation) principle is implemented.”
From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Porta et al. 2006
The Conclusions (p. 22) describe ICN as the method for constructing dual urban-street graphs and report power-law degree distributions, especially for networks of significant size. The degree-distribution analysis (pp. 14–16) finds clear scale-free behavior in the larger graphs but says the smaller graphs do not permit a precise conclusion. The claim overgeneralizes this finding to spatial graphs whenever ICN is implemented. (LLM, conf=0.88)
Experimental — accuracy not yet measuredWhen streets are represented as nodes and edges corresponding to individual streets and street intersections, or by named-based and angularity-based methods, small-world properties are observed.
“But when streets are represented as nodes and edges corresponding to individual streets and street intersections, or by named-based and angularity-based methods, the small-world properties are observed (Jiang et al. 2014;Porta et al. 2006;Jiang and Claramunt 2004).”
From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Porta et al. 2006
The Conclusions (p. 22) describe a dual representation with streets as nodes and intersections as edges, and report small-world properties generally, with exceptions for networks with few triangular loops. The Results (p. 19) identify four of six networks as small-worlds. Section 2 (pp. 4–5) describes the named-street approach as another method, but this paper does not show that its named-street representation exhibits small-world properties. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSeveral studies found scale-free degree distributions in street networks using other graph representations.
“Several studies also found scale-free degree distributions in street networks, using other graph representations (Cardillo et al. 2006;Carvalho and Penn 2004;Porta et al. 2006).”
From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Porta et al. 2006
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Cites
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A Network Approach to Link Visibility and Urban Activity Location
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Olmez, S., Thompson, J., Marfleet, E., Suchak, K., Heppenstall, A., Manley, E., Whipp, A., & Vidanaarachchi, R. (2022) · doi:10.20944/preprints202204.0300.v1 · Cited by 10 · see citing works
- Authors
- Porta, S., Crucitti, P., & Latora, V.
- Affiliations
- Politecnico di Milano (IT)
- University of Catania (IT)
- Corresponding author
- Latora, Vito
- Venue
- Physica A: Statistical Mechanics and its Applications
- Publisher
- Elsevier BV
- Published
- 2006-09
- Volume
- 369
- Issue
- 2
- Pages
- 853-866
- ISSN
- 0378-4371 (ISSN-L)
- OpenAlex
- W2962983474
- Cited by
- 749
- References
- 2
- Citations by year
- 2026: 40 · 2025: 54 · 2024: 35 · 2023: 33 · 2022: 49 · 2021: 45 · 2020: 49 · 2019: 47 · 2018: 51 · 2017: 49 · 2016: 44 · 2015: 60 · 2014: 45 · 2013: 31 · 2012: 18
- FWCI
- 65.69
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Physica A Statistical Mechanics and its Applications (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
- 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 analysis, dual graph, graph representation, scale-free networks, small-world property, degree distribution, assortativity, network structural properties
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