Network Vulnerability: An Approach to Reliability Analysis at the Level of National Strategic Transport Networks

D'Este, G; Taylor, M A

doi:10.1108/9781786359544-002

Cited by 80 publications

(73 citation statements)

References 15 publications

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“…In summary with the information about the derivative of the objective function with respect to the design parameter (including the effect of the equilibrium condition), one can apply any of the fruitful available optimization routines to solve the RNDP stated in (7). The next section presents numerical results from a test with a small network.…”

Section: Sensitivity Analysis Of Equilibrated Path Choice Probabilitymentioning

confidence: 99%

“…Early development in the area of network reliability has been on the evaluation of network reliability (with a broad definition), see for example (1), (2), (3), (4). Several measures for evaluating the network reliability have been proposed including the concept of travel time reliability (5), flow decrement reliability (6), vulnerability (7), capacity reliability (8) and connectivity reliability (9).…”

Section: Introductionmentioning

confidence: 99%

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Reliable Network Design Problem: Case with Uncertain Demand and Total Travel Time Reliability

Sumalee

Watling

Nakayama

2006

Transportation Research Record: Journal of the Transportation R

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This paper deals with Reliable Network Design Problem (RNDP) in which the main sources of uncertainty are variable demand and route choice. The objective is to maximize the network total travel time reliability (TTR) which is defined as the probability of the network total travel time to be less than a threshold. The paper presents a framework of stochastic network model with Poisson distributed demand and uncertain route choice. The travelers are assumed to choose their routes to minimize their perceived expected travel cost following Probit Stochastic Users' Equilibrium (SUE) condition. The paper presents an analytical method for approximating the first and second moments of the total travel time. These moments are then fitted with a log-normal distribution. The paper then tackles the design problem in which the analytical derivative of the TTR is derived using the sensitivity analysis of the equilibrated path choice probability. This derivative is then supplied to a gradient-based optimization algorithm to solve the RNDP. The algorithm is tested with a small network example.

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Section: Sensitivity Analysis Of Equilibrated Path Choice Probabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliable Network Design Problem: Case with Uncertain Demand and Total Travel Time Reliability

Sumalee

Watling

Nakayama

2006

Transportation Research Record: Journal of the Transportation R

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“…However, accessibility measures are concerned little with network reliability, which refers to how well the network is systematically organized to continue its operation at a desired level in the face of possible operational failures of nodes or links. Maintaining the system's reliability at a desired level is as important as accessibility on the supply side because disruptions of mass transit systems can have severe adverse socio-economic impacts, along with degradation of network accessibility (D'Este and Taylor 2003). Furthermore, failure in a station can lead to cascading failures in the whole network system, raising issues about the resilience of the system (Nicholson and Dalziell 2003;Kim et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Examining Accessibility and Reliability in the Evolution of Subway Systems

Kim¹,

Song²

2015

JPT

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The subway system in the city of Seoul has dramatically evolved from a single subway line of less than 10 km in the early 1970s to one of the largest mass transit systems in the world, with more than 13 lines and 400 stations in 2014. This study aims to explore longitudinal changes in network accessibility and reliability in relation to the four evolutionary stages of the Seoul subway system (1979, 1985, 2001, and 2014

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“…In the field of vulnerability analysis, a corresponding wide array of techniques now exist, again primarily focused on the impacts of degradations in capacity (Bell, 2000;D'Este & Taylor, 2001;Nicholson & Dalziell, 2003;Taylor et al, 2006;Jenelius et al, 2006;Szeto et al, 2006;Yang & Qian, 2012;Sullivan et al, 2013). As with reliability methods, these papers cover a diverse range of assumptions, techniques and measures of impact, though with the general theme that they aim to find the weakest part of the system by considering how it might perform, when allowing for travellers to readjust to the degraded situation.…”

Section: Introduction and Reviewmentioning

confidence: 99%

Assessing the Demand Vulnerability of Equilibrium Traffic Networks via Network Aggregation

Connors

Watling

2014

Netw Spat Econ

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Studies of network vulnerability typically focus on changes to the supply side; whether considering a degradation of link capacity or complete link failure. However, the level of service provided by a transport network is also vulnerable to increases in travel demand, with the consequent congestion causing additional delays. Traffic equilibrium models can be used to evaluate the influence of travel demand on levels of service when interest is restricted to only a small number of pre-specified demand scenarios. A demandvulnerability analysis requires understanding the impact of unknown future changes to any possible combination of OD demands. For anything but the smallest networks, this cannot be accomplished by recomputing network equilibrium at all possible demand settings. We require a representation of the functional relationship between demands and levels of service, avoiding the need to re-evaluate the equilibrium model. This processof collapsing the demand and network representations onto a single, coarse-level network with explicit functional relationshipsis referred to here as 'network aggregation'. We present an efficient method for network aggregation for networks operating under Stochastic User Equilibrium (SUE). In numerical experiments, we explore the nature and extent of the aggregation errors that may arise.

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Network Vulnerability: An Approach to Reliability Analysis at the Level of National Strategic Transport Networks

Cited by 80 publications

References 15 publications

Reliable Network Design Problem: Case with Uncertain Demand and Total Travel Time Reliability

Reliable Network Design Problem: Case with Uncertain Demand and Total Travel Time Reliability

Examining Accessibility and Reliability in the Evolution of Subway Systems

Assessing the Demand Vulnerability of Equilibrium Traffic Networks via Network Aggregation

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