Complex Network Topology of Transportation Systems

Lin, Jingyi; Ban, Y.

doi:10.1080/01441647.2013.848955

Cited by 182 publications

(97 citation statements)

References 83 publications

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“…Unlike the two-regime power-law distribution for airline systems [16,22,28,31,33], these three street networks consistently present a scaling law. It indicates that some routes or streets play the most bridging roles in the networks.…”

Section: Betweenness Distributionmentioning

confidence: 98%

“…The primal representation is a natural and intuitional approach, which takes just the road segments as links, and intersections or the ends of roads as nodes for an urban street network [21]. This method is similar to social networks or airport networks [16]. In this study, we select this method to represent three street systems to provide a more objective picture.…”

Section: Network Representationmentioning

confidence: 99%

“…Since proposing the complex network theory late last century, transport systems, as a typical instance of spatial networks, have made progress from various subjects [11][12][13][14][15][16]. Topological properties and structures have gained the most attention [11,14,[17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…Topological properties and structures have gained the most attention [11,14,[17][18][19]. Different representations and statistical measures are widely discussed as the first step to study transport systems [16,20,21]. As a traditional measure in complex network analysis, centrality was introduced to explore transport systems, including aviation systems [22], street networks [14], metro systems [23], and bus stop systems [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Comparative Analysis on Topological Structures of Urban Street Networks

Lin

Ban

2017

IJGI

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Street systems are the backbone of cities. With global urbanization and economic development, street systems have undergone significant development along with the growth of cities. In this paper, the authors select three cities with varying sizes, histories, locations, and growth dynamics: Stockholm, Toronto, and Nanjing. We analyze topological structures of their public street systems based on GIS and complex network theory. Considering the planarity of street systems, we first calculate various topological measures, including α, β, and γ indices, and density. This is followed by comparing three centrality measures, i.e., degree, betweenness, and closeness in complex network theory. In this part, we investigate these characteristics of nodes and edges in a primal representation, and discuss their relations with urban growth mechanisms.

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Section: Betweenness Distributionmentioning

confidence: 98%

Section: Network Representationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis on Topological Structures of Urban Street Networks

Lin

Ban

2017

IJGI

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“…Lin and Ban [14] reviewed recent works in network analysis and case studies that used graph theory and measures. They classified and compared the different approaches and measures in various network types such as road network, public transportation network, maritime networks, and aviation.…”

Section: Network Performance Measuresmentioning

confidence: 99%

Network Analysis of the Tel Aviv Mass Transit Plan

2018

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This paper analyzes the strategic transit network plan for the Tel Aviv metropolitan area, using graph theory and other recently developed transit network measures. The different transit modes included in the strategic plan are emphasized by adding weights to distinguish metro lines from light rail lines (LRT). This approach can help compare the combined metro or LRT alternatives of the new Tel Aviv plan to the metro-only alternatives as well as measure the performance relative to the metro systems in other cities around the world. The analysis of the alternative plans in Tel Aviv showed that when metro and LRT lines were treated as homogeneous modes, in which all were considered as metro, the alternatives resembled medium developed metro systems, such as in Barcelona and Washington DC. In contrast, when the distinguished weights were included, the combined metro/LRT alternatives resembled less developed systems, such as in Lyon and Lisbon, and only the metro-only alterative score remained high. The results also showed that the alternatives have regional coverage, and the alternatives with more LRT lines score lower in coverage. The network structure analysis showed that the metro-oriented networks score higher in both directness and connectivity. When using the weighted measures, the existing plan (LRT-only) scores low on both directness and connectivity. The analysis of the results emphasizes the need for more metro lines in the Tel Aviv metropolitan area. The results also suggest that the analysis of the complex mass transit networks based on graph theory should consider differences in line technology reflected in the line speed and coverage.

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A novel infrastructure modularity index for the segmentation of water distribution networks

Giustolisi

Ridolfi

2014

Water Resources Research

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The search for suitable segmentations is a challenging and urgent issue for the analysis, planning and management of complex water distribution networks (WDNs). In fact, complex and large size hydraulic systems require the division into modules in order to simplify the analysis and the management tasks. In the complex network theory, modularity index has been proposed as a measure of the strength of the network division into modules and its maximization is used in order to identify community of nodes (i.e., modules) which are characterized by strong interconnections. Nevertheless, modularity index needs to be revised considering the specificity of the hydraulic systems as infrastructure systems. To this aim, the classic modularity index has been recently modified and tailored for WDNs. Nevertheless, the WDN-oriented modularity is affected by the resolution limit stemming from classic modularity index. Such a limit hampers the identification/design of small modules and this is a major drawback for technical tasks requiring a detailed resolution of the network segmentation. In order to get over this problem, we propose a novel infrastructure modularity index that is not affected by the resolution limit of the classic one. The rationale and good features of the proposed index are theoretically demonstrated and discussed using two real hydraulic networks.

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Complex Network Topology of Transportation Systems

Cited by 182 publications

References 83 publications

Comparative Analysis on Topological Structures of Urban Street Networks

Comparative Analysis on Topological Structures of Urban Street Networks

Network Analysis of the Tel Aviv Mass Transit Plan

A novel infrastructure modularity index for the segmentation of water distribution networks

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