Betweenness centrality in urban networks: revealing the transportation backbone of the country from the demographic data

Goremyko, Mikhail V.; Макаров, В. В.; Hramov, Alexander E.; Kirsanov, Daniil V.; Maksimenko, Vladimir A.; Іванов, А. В.; Yashkov, I.; Boccaletti, Stefano

doi:10.1088/1755-1315/177/1/012017

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…High betweenness values indicate that a particular node or edge is crucial for maintaining connectivity within the network, and any disruption to it may have significant consequences on the overall network efficiency. Betweenness centrality is generally regarded as a measure of others' dependence on a given node and, therefore, as a measure of potential control [85,90,91], betweenness counts the number of geodesic paths [62,83,86] that pass through a vertex, i.e., the number of times the vertex lies on the shortest path between other pairs of vertices [63,71]. The betweenness centrality (BC) is vital for understanding the structure of large complex networks [86] sDNA clarifies the betweenness as below.…”

Section: Betweennessmentioning

confidence: 99%

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Exploring the Link between Street Layout Centrality and Walkability for Sustainable Tourism in Historical Urban Areas

Amen,

Afara,

Nia

2023

Urban Science

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Walkability is considered a vital component of the urban configuration; urban spaces should promote pedestrian walking, which is healthier and increases social sustainability by connecting people in urban spaces. This article aims to find the link between the street layout centrality values and the people’s walkability for sustainable tourism in historic areas. Moreover, it attempts to explore the linkage between the urban layout and visiting historical spaces in the urban layout. The approach to the research has two phases; the first is to find people density (the tourist density) in the historical areas, and the second is to measure the centrality values of the urban layout utilizing the spatial design network analysis tool (sDNA). The research found that the street network considerably impacts the final tourist distribution, mainly because of the betweenness centrality; consequently, spaces with low betweenness centrality values are less reachable by the tourists in the historical area, although it has a high closeness centrality. The research concluded that considering the street network is necessary concerning the tourists’ walkability since it affects their density in the urban layout.

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Section: Betweennessmentioning

confidence: 99%

“…Urban betweenness is used in urban layout to assess the significance of a node in terms of transport flows [64]. We use the betweenness centrality, which is the number of shortest paths, gi, between two other nodes that pass through the node [63]. So, the measure is used to measure the people's flow of information.…”

Section: Betweennessmentioning

confidence: 99%

Exploring the Link between Street Layout Centrality and Walkability for Sustainable Tourism in Historical Urban Areas

Amen,

Afara,

Nia

2023

Urban Science

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“…Potential usability and usefulness in transportation networks: Despite the above limitations, the application of betweenness centrality has been explored in various networks and cases in the scientific literature, for example to reveal the main transport routes in a network [43]; to determine port significance in maritime container transport [44]; and to predict taxi traffic flow [45]. Betweenness centrality has also had applications beyond standard scientific paradigms.…”

Section: Betweenness Centralitymentioning

confidence: 99%

Transportation Networks in the Face of Climate Change Adaptation: A Review of Centrality Measures

Stamos

2023

Future Transportation

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This paper presents a comprehensive review of centrality measures and their usefulness in transportation networks in the face of climate change adaptation. The focus is on understanding the importance of transportation nodes in the event of extreme weather events and climate-related disasters that may render them inoperable. The paper argues that if critical nodes can be identified, they can be better protected, while resources can be allocated to ensure their functioning in the event of such events. The paper assesses 17 centrality measures, including degree, closeness, betweenness, eigenvector, and Katz, and evaluates their usefulness and usability in transportation networks. The review highlights the need to reformulate these measures to take into account traffic- and transport-related parameters and variables. Without this reformulation, centrality measures only reveal node importance in a topological or structural way and fail to capture the true significance of the nodes in a transportation network. The reformulation enables the centrality measures to be properly applied in a transportation network and to expose the significance of their elements. This work has important implications for transportation planners and policy-makers in ensuring the resilience of critical transportation infrastructure in the face of climate-related disasters.

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“…wherein structural failure and overload failure occur on intra-links in physical power grid/communication network, interdependent failure occurs on inter-links between physical power grid and communication network. The cause for structural failure and interdependent failure is the lack of power/control support in systems, and the reason for overload failure is that the physical devices cannot handle the traffic loads and this leads to malfunction, which corresponds to many scenes in reality, such as traffic jams in transportation system [29], short circuit in physical power grid [30], information congestion in communication networks [31], etc. The flow chart of cascading failure is illustrated in fig.…”

Section: -P2mentioning

confidence: 99%

Protection strategies of active defense in cyber-physical power systems

Chen¹,

Gorbachev²,

Yue³

et al. 2021

EPL

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Cascading failure triggered by tiny failure iteratively propagates between physical power grid and communication network, causing severe damage on cyber-physical power systems. In this paper, we study the protection strategies of active defense to improve the robustness of systems. Based on analysis of cascading failure in systems, we classify failure into three types, structural failure, overload failure, and interdependent failure. Due to the severe damage caused by overload failure, we propose four protection strategies of active defense, through interdicting propagation path of cascading failure, to prevent overload failure. Compared with traditional redundancy protection and structure optimization, the protection strategies are economical and efficient, and can defend unknown attack. In simulation analysis, the protection strategies of active defense are proved to be effective in prevention of cascading failure.

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Betweenness centrality in urban networks: revealing the transportation backbone of the country from the demographic data

Cited by 6 publications

References 15 publications

Exploring the Link between Street Layout Centrality and Walkability for Sustainable Tourism in Historical Urban Areas

Exploring the Link between Street Layout Centrality and Walkability for Sustainable Tourism in Historical Urban Areas

Transportation Networks in the Face of Climate Change Adaptation: A Review of Centrality Measures

Protection strategies of active defense in cyber-physical power systems

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