Topological Analysis of Urban Street Networks

By Bin Jiang, Christophe Claramunt. 2004

593 citations recorded by the source corpus.

Subfields: Building and Construction, Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a35c00830795d731ba4770ec15553ba21d92bfd0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Marc Barthelemy
2. Geoff Boeing
3. L. Beauguitte
4. Cesar Ducruet
5. Junjun Yin
6. S. Zhao
7. Bin Jiang
8. David M Levinson

In Ecology

1. Marc Barthelemy
2. L. Beauguitte
3. Cesar Ducruet
4. Geoff Boeing
5. Bin Jiang

In Global and Planetary Change

1. Geoff Boeing
2. Marc Barthelemy
3. Bin Jiang
4. Alasdair Turner

Citations in the corpus

• Characterizing the human mobility pattern in a large street network. (2008, background): “ee 45 as the threshold. The reason why we adopted this particular principle is because the natural streets formed by this principle tend to be similar in morphological structure to the named streets (Jiang and Claramunt 2004). The generated streets are transformed into a connectivity graph in terms ”
• Spatial Science and Network Science: Review and Outcomes of a Complex Relationship (2014, background): “Jiang and Claramunt (2004) offered a very original approach to urban streets by considering streets as nodes and crossroads as links in their analysis of small-world dimensions and centralities, in the tradition of the space syntax approach to networks (see Hillier and Hanson, 1984) also developed…”
• A topological pattern of urban street networks: Universality and peculiarity (2007, background): “For instance, based on the named street approach, Jiang [8] re-examined scale-free property of degree distribution, and confirmed a power law distribution that revised their initial conclusion [4].”
• Urban spatial order: street network orientation, configuration, and entropy (2018, background): “Accordingly, researchers have recently devoted much attention to street network patterns, performance, complexity, and configuration (Barthelemy et al., 2013; Batty, 2005a; Boeing, 2018a; Buhl et al., 2006; Chan et al., 2011; Ducruet and Beauguitte, 2014; Jiang et al., 2014; Jiang and Claramunt, 200”
• Spatial Networks (2010, background): “Despite the peculiar geographical, historical, socialeconomical mechanisms that have shaped distinct urban areas in different ways (see for example [214] and references therein), recent empirical studies [42, 73, 84, 102, 175, 176, 206, 220] have shown that, at least at a coarse grained level, unexp”
• OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks (2016, background): “Jiang and Claramunt (2004) extend this coefficient to neighborhoods within an arbitrary distance to make it more applicable to urban street networks.”
• Modeling the Growth of Transportation Networks: A Comprehensive Review (2009, background): “…however, it was recognized that they exhibit attributes that differ from scale free networks (Csányi and Szendröi 2004; Gastner and Newman 2006; Jiang and Claramunt 2004; Lämmer et al. 2006), largely due to the spatial constraints in a surface transportation network that limit the number of…”
• Head/Tail Breaks: A New Classification Scheme for Data with a Heavy-Tailed Distribution (2012, background): “e second case study maps the underlying hierarchy of 160,000 Swedish streets. The streets are either named streets with unique names, or natural streets that constitute good continuity in perception (Jiang and Claramunt 2004, Jiang et al. 2008). The degree of connectivity of individual streets was m”