Degradable transportation systems: An integrated equilibrium model

Nicholson, Alan; Du, Zhengping

doi:10.1016/s0191-2615(96)00022-7

Cited by 143 publications

(73 citation statements)

References 3 publications

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“…It may describe a connection between vertices, referred to as 'connectivity reliability' (Sakakibara et al 2004). Alternatively it may describe the success of road users travelling along a path between a pair of vertices in an expected travel time, referred to as 'travel time reliability' (Nicholson and Du 1997). The term has also been used to represent the probability of network capacity being greater than or equal to a required demand level.…”

Section: Reliabilitymentioning

confidence: 99%

Vulnerability of road networks

Liu

Agarwal

Blockley

2016

Civil Engineering and Environmental Systems

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Current evaluations of the vulnerability of a road network tend to focus on the probability of damage and the change of traffic demand. The forecasting of lowprobability but high-consequence events is a major difficulty. In this paper, a new theory, using a systems-thinking approach, for examining the vulnerability of the form of the network is presented. Our purpose is not to simulate traffic flow but to identify high consequence scenarios that may arise from vulnerable weaknesses in the form of the network. Such scenarios are independent of models of traffic demand or the source of the damage and can subsequently be combined with specific demands to assess risk. A hierarchical model with clusters of road circuits formed at various levels of granularity of a road network is developed for use in a search process. Only free uncongested flow is considered. A search algorithm for finding vulnerable failure scenarios is described. A vulnerability index is proposed as a measure of the disproportionateness of the consequences of a series of events within a failure scenario in relation to the damage causing those events. The theory is illustrated with two examples.Keywords: vulnerability; road network; accessibility; topological analysis; low probability high consequence failure. 3 Vulnerability of Road NetworksAbstract Current evaluations of the vulnerability of a road network tend to focus on the probability of damage and the change of traffic demand. The forecasting of lowprobability but high-consequence events is a major difficulty. In this paper, a new theory, using a systems-thinking approach, for examining the vulnerability of the form of the network is presented. Our purpose is not to simulate traffic flow but to identify high consequence scenarios that may arise from vulnerable weaknesses in the form of the network. Such scenarios are independent of models of traffic demand or the source of the damage and can subsequently be combined with specific demands to assess risk. A hierarchical model with clusters of road circuits formed at various levels of granularity of a road network is developed for use in a search process. Only free uncongested flow is considered. A search algorithm for finding vulnerable failure scenarios is described. A vulnerability index is proposed as a measure of the disproportionateness of the consequences of a series of events within a failure scenario in relation to the damage causing those events. The theory is illustrated with two examples.

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Section: Reliabilitymentioning

confidence: 99%

Vulnerability of road networks

Liu

Agarwal

Blockley

2016

Civil Engineering and Environmental Systems

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“…Further approaches have been conducted by using traffic assignment technique that allows to simulate how Origin-Destination (OD) travel demand loads the links of a network when road closures occur [15,16,23].…”

Section: Transportation Systems Overall Conceptmentioning

confidence: 99%

Physical Simulators of Critical Infrastructures

Pietro¹,

Liberto²,

Flourentzou

et al. 2016

Managing the Complexity of Critical Infrastructures

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Critical Infrastructures are an essential asset in modern societies and our everyday life is heavily dependent on their reliable and secure operation. The problem of controlling and managing critical infrastructures is becoming more and more difficult as they are increasing in size due to the growing demand for the services they provide and the geographical spread required. As these infrastructures become larger and more complex, fewer people understand how these networks work and the interactions between all the components. Thus, models are necessary so as to accurately predict their behavior under steady state or under failure/attack scenarios. This chapter provides a review on modeling and simulation approaches of critical infrastructures and in particular of electric power, telecommunications, water supply and drainage systems, and transportation systems.

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“…The transport system is designed to cater to the community needs and provide accessibility to goods and services and also provide "escape routes" during disasters. The travel pattern of movement in a network may change dramatically after a disaster, due to people evacuating an area or people entering an area to render assistance (Nicholson & Du, 1997). The transport system supports economic growth and helps sustain GDP in developed countries and reduces poverty in developing countries and designed to cater to community needs and provide reliability and accessibility to critical infrastructure (CI) service.…”

Section: Importance Of Transport Networkmentioning

confidence: 99%

Assessing the Influence of Traffic Impact Assessments on Land Use Development and Decision Making

Withanaarachchi¹,

Setunge²,

Bajwa³

2013

CUBR

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Rapid urbanisation and land use planning in cities and countries worldwide have an impact on traffic related risks to society as a whole. Strategic planning decisions made during land use development approvals can affect the performance of transport infrastructure significantly impacting on community safety. One major contributor to the decision-making process is Traffic Impact Assessment (TIA) undertaken prior to development approval. The content of each TIA process differs according to the type of development and its geographical location. The paper

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Degradable transportation systems: An integrated equilibrium model

Cited by 143 publications

References 3 publications

Vulnerability of road networks

Vulnerability of road networks

Physical Simulators of Critical Infrastructures

Assessing the Influence of Traffic Impact Assessments on Land Use Development and Decision Making

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