A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

Flavio, Bono; Gutiérrez, Eugenio

doi:10.1016/j.jtrangeo.2011.08.002

Cited by 104 publications

(45 citation statements)

References 24 publications

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“…Typically after the occurrence of an event some places become less accessible e.g. following a bridge collapse due to an earthquake in Kobe (Chang and Nojima, 2001), structural damage after an earthquake in Haiti in 2010 (Bono and Gutierrez 2011) or after a heavy snow fall or even during/after a forest fire. Studying and analysing vulnerability of road networks will help in prioritising the planning, budgeting and maintenance of roads and also will be useful in preparing emergency response plans.…”

Section: Introductionmentioning

confidence: 99%

Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas

Balijepalli

Oppong

2014

Journal of Transport Geography

133

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Road networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network that remains intact after an event. However, not all road links equally affect the travel conditions in a given network; typically some links are more critical to the network functioning than the others. It is noted that the majority of the existing indices designed to measure vulnerability offer a good measure of network-wide accessibility in sparse regional networks, but they rarely consider the extent of serviceability of critical links in dense urban road networks. This paper describes a number of vulnerability indices from the literature, applies them to the case of urban network of York and discusses the results. It proposes a new vulnerability index considering the serviceability of road links and illustrates its computation. Finally, this paper uses the results of the new vulnerability index and outlines a traffic diversion plan in the event of flooding in York using traffic network modelling techniques combined with Geographic Information Systems (GIS) application.

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Section: Introductionmentioning

confidence: 99%

Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas

Balijepalli

Oppong

2014

Journal of Transport Geography

133

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“…Bono and Gutiérre [17] employed spatial analysis to analyse how urban space accessibility decreases when the road network is damaged. Zhang and Li [18] proved that the fractal behaviour observed in the structure of road networks is of particular interest because it indicates that road networks are self-organized at several scales.…”

Section: Introductionmentioning

confidence: 99%

Scale-Free Network Theory in Studying the Structure of the Road Network in Poland

Kocur-Bera

2014

PROMET

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“…Indeed, CNT has received increasing attention in recent years and is applicable to analyze and evaluate various properties of real infrastructures, such as vulnerability and reliability [31,32]. It has been widely used with infrastructures in form of visible networking, such as power grid networks [33,34], transportation networks [35,36], and pipeline networks [37,38]. In addition, graph theory and multiattribute utility theory have also been employed to identify and prioritize candidate infrastructure scenarios vulnerable to terrorist attack [39].…”

Section: Approaches To Studymentioning

confidence: 99%

“…It is necessary to identify the weak points in the network for the sake of mitigating vulnerability [56]. In a particular case, such as catastrophic event, priority must be given to some critical nodes or edges over others to rebuild and recover the whole system [35].…”

Section: Proposed Frameworkmentioning

confidence: 99%

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

Deng

Song

Zhou

et al. 2017

Mathematical Problems in Engineering

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Vulnerability analysis of network models has been widely adopted to explore the potential impacts of random disturbances, deliberate attacks, and natural disasters. However, almost all these models are based on a fixed topological structure, in which the physical properties of infrastructure components and their interrelationships are not well captured. In this paper, a new research framework is put forward to quantitatively explore and assess the complexity and vulnerability of critical infrastructure systems. Then, a case study is presented to prove the feasibility and validity of the proposed framework. After constructing metro physical network (MPN), Pajek is employed to analyze its corresponding topological properties, including degree, betweenness, average path length, network diameter, and clustering coefficient. With a comprehensive understanding of the complexity of MPN, it would be beneficial for metro system to restrain original near-miss or accidents and support decision-making in emergency situations. Moreover, through the analysis of two simulation protocols for system component failure, it is found that the MPN turned to be vulnerable under the condition that the high-degree nodes or high-betweenness edges are attacked. These findings will be conductive to offer recommendations and proposals for robust design, risk-based decision-making, and prioritization of risk reduction investment.

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A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks

Cited by 104 publications

References 24 publications

Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas

Measuring vulnerability of road network considering the extent of serviceability of critical road links in urban areas

Scale-Free Network Theory in Studying the Structure of the Road Network in Poland

Complexity and Vulnerability Analysis of Critical Infrastructures: A Methodological Approach

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