Network Evaluation Based on Connectivity Reliability and Accessibility

Kondo, Ryuhei; Shiomi, Yasuhiro; Uno, Nobuhiro

doi:10.1007/978-1-4614-0947-2_9

Cited by 10 publications

(7 citation statements)

References 6 publications

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“…Unfortunately, the literature lacks analyses of reliability for rapid transit systems. Kondo, Shiomi, and Uno (2010) proposed a measure called road network reliability to evaluate network robustness against natural disasters to ensure emergency response in Kyoto, Japan. Kim (2009) assessed the network resilience of the subway system in Seoul using hypothetical network reliability.…”

Section: Network Vulnerability: Measures and Approachesmentioning

confidence: 99%

Network Reliability and Resilience of Rapid Transit Systems

Kim

Chun³

2015

The Professional Geographer

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Section: Network Vulnerability: Measures and Approachesmentioning

confidence: 99%

Network Reliability and Resilience of Rapid Transit Systems

Kim

Chun³

2015

The Professional Geographer

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“…Later, Chang [10] expanded her previous research by formulating the travel time-based accessibility index. Chen et al [24] developed an accessibility measure based on a random utility theory while Kondo et al [25] made use of gravity models. Sohn [26] developed a composite measure of travel distance and traffic volume weighted by population data.…”

Section: Model Frameworkmentioning

confidence: 99%

A Multi-objective Network Design Model for Post-disaster Transportation Network Management

Konstantinidou

Κεπαπτσόγλου

Stathopoulos

2019

PROMET

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Despite their inherent vulnerability to structural and functional degradation, transportation networks play a vital role in the aftermath of disasters by ensuring physical access to the affected communities and providing services according to the generated needs. In this setting of operational conditions and service needs which deviate from normal, a restructuring of network functions is deemed to be beneficial for overall network serviceability. In such context, this paper explores the planning of post-disaster operations on a network following a hazardous event on one of the network's nodes. Lane reversal, demand regulation and path activation are applied to provide an optimally reconfigured network with reallocated demand, so that the network performance is maximized. The problem is formulated as a bi-level optimization model; the upper level determines the optimal network management strategy implementation scheme while the lower level assigns traffic on the network. Three performance indices are used for that purpose: the total network travel time (TNTT), the total network flow (TNF) and the special origin-destination pair (OD pair) accessibility. A genetic algorithm coupled with a traffic assignment process is used as a solution methodology. Application of the model on a real urban network proves the computational efficiency of the algorithm; the model systematically produces robust results of enhanced network performance, indicating its value as an operation planning tool.

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“…Referring to the second group, Kondo et al [28] established a method for evaluating a network in terms of both connectivity and accessibility. The Potential Accessibility Index (CPAI) is proposed measuring the link reliability per unit of distance.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the connectivity reliability of a network depends entirely on link reliability, which is determined by factors such as road structure, roadside condition, and disaster severity [28]. Connectivity reliability is regarded as the most fundamental reliability measure since guaranteeing connectivity to other nodes can be considered as a necessary condition, whereas other functions like accessibility, that indicates the ease with which individuals at a node can pursue an activity, can be considered as a sufficient condition for establishing the robustness of a network [28]. According to Nicholson [13] connectivity reliability may be appropriate when congestion is not an issue, and one is dealing with a relatively sparse network (e.g.…”

Section: Introductionmentioning

confidence: 99%

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Muriel-Villegas

Álvarez-Uribe

Patiño-Rodríguez

et al. 2016

Reliability Engineering & System Safety

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This study provides an applied framework to derive the connectivity reliability and vulnerability of interurban transportation systems under network disruptions. The proposed model integrates statistical reliability analysis to find the reliability and vulnerability of transportation networks. Most of the modern research in this field has focused on urban transportation networks where the primary concerns are guaranteeing predefined standards of capacity and travel time. However, at a regional and national level, especially in developing countries, the connectivity of remote populations in the case of disaster is of utmost importance. The applicability of the framework is demonstrated with a case study in the state of Antioquia, Colombia, using historical records from the 2010-2011 rainy season, an aspect that stands out and gives additional support compared to previous studies that considers simulated data from assumed distributions. The results provide significant insights to practitioners and researchers for the design and management of transportation systems and route planning strategies under this type of disruptions.

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Network Evaluation Based on Connectivity Reliability and Accessibility

Cited by 10 publications

References 6 publications

Network Reliability and Resilience of Rapid Transit Systems

Network Reliability and Resilience of Rapid Transit Systems

A Multi-objective Network Design Model for Post-disaster Transportation Network Management

Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

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