Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

Sugishita, Kashin; Asakura, Yasuo

doi:10.1007/s12469-020-00247-9

Cited by 16 publications

(9 citation statements)

References 137 publications

(204 reference statements)

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“…For instance, if a new flight route is created between two airports, passengers may take other flights to connect to other destinations, increasing the traffic on the corresponding routes [Barrat et al, 2004]. Taking these interactions into account might open up new perspectives to study the evolution of these types of infrastructure networks [Sugishita and Masuda, 2020].…”

Section: Discussionmentioning

confidence: 99%

From temporal network data to the dynamics of social relationships

Gelardi

Barrat

Claidière

2021

Preprint

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Networks are well-established representations of social systems, and temporal networks are widely used to study their dynamics. Temporal network data often consist in a succession of static networks over consecutive time windows whose length, however, is arbitrary, not necessarily corresponding to any intrinsic timescale of the system. Moreover, the resulting view of social network evolution is unsatisfactory: short time windows contain little information, whereas aggregating over large time windows blurs the dynamics. Going from a temporal network to a meaningful evolving representation of a social network therefore remains a challenge. Here we introduce a framework to that purpose: transforming temporal network data into an evolving weighted network where the weights of the links between individuals are updated at every interaction. Most importantly, this transformation takes into account the interdependence of social relationships due to the finite attention capacities of individuals: each interaction between two individuals not only reinforces their mutual relationship but also weakens their relationships with others. We study a concrete example of such a transformation and apply it to several data sets of social interactions. Using temporal contact data collected in schools, we show how our framework highlights specificities in their structure and temporal organization. We then introduce a synthetic perturbation into a data set of interactions in a group of baboons to show that it is possible to detect a perturbation in a social group on a wide range of timescales and parameters. Our framework brings new perspectives to the analysis of temporal social networks.

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Section: Discussionmentioning

confidence: 99%

From temporal network data to the dynamics of social relationships

Gelardi

Barrat

Claidière

2021

Preprint

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“…A great citation analysis focusing on resilience, vulnerability and alike can be found in Sugishita and Asakura ( 2020 ) and Sugishita and Asakura ( 2021 ). Other works on resilience with a transportation and public transport focus include Ren et al.…”

Section: Basic Conceptsmentioning

confidence: 99%

“…based on an accident) compared to a node with small degree centrality. For further reading see Sugishita and Asakura ( 2021 ) and the references therein. According to Du et al.…”

Section: Basic Conceptsmentioning

confidence: 99%

Robustness and disturbances in public transport

Voß

Xie

2022

Public Transp

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Network-based systems are at the core of our everyday life. Whether it is electronic networking, electricity grids or transportation, users expect the networks to function properly and provide a feeling of safety and security. However, there may be disturbances. In this paper, we consider disturbances in the context of public transportation. The focus in this respect is on public transport planning and operations. To classify and cope with disturbances, one can find many ideas, including robustness, resilience, vulnerability, disruption mitigation or delay management. We survey related streams of literature and put them into perspective. As a major insight we show that different strands of literature exist that may benefit from becoming better connected and intertwined. Together with recent advances in information technology and solution methods, more integrated problem settings incorporating robustness and disturbances can play a major role in future planning and operations.

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“…In terms of resistance, in areas with better economic conditions, the repair and maintenance capabilities of highways after completion is more perfect, and the efficiency of emergency response during disasters and the recovery stage of the road after the disaster is higher as well. That is, the socio-economic conditions can reflect a certain extent the robustness of the highways in the event of a disaster and the ability to restore to the initial state (Sugishita and Asakura, 2020). Here, GDP values of different regions in the study area were used to measure the local economic level.…”

Section: Vulnerability Indicatorsmentioning

confidence: 99%

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

Liu¹,

Tang²,

Wang³

et al. 2021

Preprint

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In terms of the dynamic dependence between icing-inducing factors, this study is to explore the risk distribution of highways when icing events occur in the study area. A joint distribution considering the dynamic correlation of inducing factors was first constructed employing the Copula theory, which then yielded the possibility of icing events. Meanwhile, hazard zones and intensities of icing were proposed under different exceeding probabilities. After finishing the vulnerability analysis of highways, the risk matrix was used to conduct the icing risk for the highway, which was then applied to the construction of the risk zoning map. The results showed that there was an upper-tail dependence between extreme precipitation and temperature in the study area in winter, which could be well captured by the Gumbel Copula function. Indeed, the constructed joint distribution can express the possibility of icing under different intensities of precipitation and temperature. Besides, the highway with the tallest vulnerability in the study area was the Hegang-Yichun line. The case application showed that during March 2020, the traffic lines with a high icing risk were distributed around Fujin, Jiamusi, Hegang, and Qitaihe cities, and the Hegang section of the Hegang-Yichun line was at the highest icing risk. The low-risk lines were concentrated in the western part of the study area. This study is of great significance for the prevention and control of ice-snow disasters on the highway in cold regions.

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Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

Cited by 16 publications

References 137 publications

From temporal network data to the dynamics of social relationships

From temporal network data to the dynamics of social relationships

Robustness and disturbances in public transport

Exploring the Highway Icing Risk: Considering the Dynamic Dependence of Icing-Inducing Factors

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