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Vulnerability of public transportation networks against directed attacks and cascading failures

TLDR
This study allows to evidence potential vulnerabilities of the urban networks, that must be considered to support the planning process into the creation of resilient structures, and implements a topological approach, using a multi-graph to model public transportation networks and analyse vulnerabilities.
Abstract
This paper presents some results devoted to providing network analysis functionalities for vulnerability assessment in public transportation networks with respect to disruptive events and/or targeted attacks to stations. The results have been obtained on two public transportation networks: the bus network in Florence, Italy, and the transportation network in the Attika region, Greece. The analysis implements a topological approach, based on graph theory, using a multi-graph to model public transportation networks and analyse vulnerabilities with respect to the removal of one or more of their components. Both directed attacks and cascading failures are considered. While the first type of disruptive events is related to a static analysis, where nodes are removed according to a rank related to some centrality measures, the second type is related to a dynamic analysis, where a failure cascade is simulated making unavailable the node with the highest betweenness value. Vulnerability measures are computed as loss of connectivity and efficiency, with respect to both the two different types of disruptive events considered. This study allows to evidence potential vulnerabilities of the urban networks, that must be considered to support the planning process into the creation of resilient structures.

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Resilience in railway transport systems: a literature review and research agenda

TL;DR: In this paper, the authors proposed that the increasing transport demand increases the congestion in railway networks and critical infrastructure networks, such as transport and power networks, are essential for the functioning of a society and economy.
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Triple bottom line and corporate social responsibility performance indicators for Russian companies

TL;DR: In this paper, the authors analyzed the relationship between Triple Bottom Line (TBL) and Corporate Social Responsibility (CSR) performance indicators: EBITDA, Emissions Score, Resource Use Score, Environmental, Social and Governance (ESG), Environmental Innovation Score, Product Responsibility Score, CSR Strategy Score, Management Score, Shareholders Score.
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Investigating the relation of GDP per capita and corruption index

TL;DR: In this paper, a mathematical framework for modelling bounded variables implementing a logistic function is proposed to correct that, and it is shown that corruption is best explained by GDP per capita and all other major macroeconomic indicators cannot add any statistically significant improvement to the models accuracy.
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Vulnerability and resilience of transportation systems: A recent literature review

TL;DR: The recent progress in the study of vulnerability and resilience is reviewed and related metrics and research methods are carefully analyzed and summarized from qualitative and quantitative perspectives.
Journal ArticleDOI

Passenger-centered vulnerability assessment of railway networks

TL;DR: A new Railway Network Vulnerability Model (RNVM) is proposed to assess the vulnerability of the system by finding the critical combination of links, which cause the most adverse consequences to passengers and trains.
References
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Factoring and weighting approaches to status scores and clique identification

TL;DR: In this paper, Factoring and weighting approaches to status scores and clique identification were proposed, and the results showed that the weighting approach is more accurate than the factoring approach.
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Resilience of the internet to random breakdowns

TL;DR: This work shows analytically and numerically that for alpha0.99.
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