Indicators of reliability and vulnerability: Similarities and differences in ranking links of a complex road system

Oliveira, Eduardo; Portugal, Licínio da Silva; Porto, Walter

doi:10.1016/j.tra.2016.04.004

Cited by 37 publications

(30 citation statements)

References 20 publications

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“…Secondary roads have not been assigned categories, which is why their condition is assessed based on the road upgrade plan, where modernised roads are characterised by high-quality surfaces and suitable conditions for developing medium speeds. In terms of the transportation policy, it can be seen that investments aimed at reducing congestion, travel time, also tend to increase reliability, resulting in the reduction of transportation costs [42].…”

Section: I4-proportion Of the Length Of Regional Roads Whose Repair Wmentioning

confidence: 99%

Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland

2019

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The improvement in a regions’ accessibility that accounts for various means of inter-regional transport and inter-regional communication is one of the main determinants of sustainable regional development. This study focuses on road accessibility in rural areas where an insufficient number and scope of international and domestic investments can lead to an imbalance in the transport infrastructure. Therefore, the aim of this study was to evaluate road accessibility at the level of the NUTS4 units in view of their sustainable development and their divergence from rural units that are less distant from the main transport routes. The studied area—a province—is situated in the northeast of Poland. Data concerning the travel time, condition, and density of the road network were analysed to develop and compare the measures of road accessibility in individual units and to perform an overall assessment of the NUTS4 units. Partial indices were calculated with the support of the QGIS and ArcGIS software. Peripheral regions in post-socialist countries appear to be particularly underinvested in terms of the transport, including at the local and regional level. The applied methodology supported the presentation of problem peripheral areas that are underinvested and threatened with exclusion.

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Section: I4-proportion Of the Length Of Regional Roads Whose Repair Wmentioning

confidence: 99%

Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland

2019

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“…de Oliveira et al [22] investigated two performance attributes of road networks, reliability and vulnerability and discuss the indicators found in the literature. The results show that the vulnerability indicators are more strongly affected by the characteristics of alternative routes.…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying Achilles-heel roads in real-sized networks

et al. 2017

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Ensuring a minimum operational level of road networks in the presence of unexpected incidents is becoming a hot subject in academic circles as well as industry. To this end, it is important to understand the degree to which each single element of the network contributes to the operation and performance of a network. In other words, a road can become an ''Achilles-heel'' for the entire network if it is closed due to a simple incident. Such insight of the detrimental loss of the closure of the roads would help us to be more vigilant and prepared. In this study, we develop an index dubbed as Achilles-heel index to quantify detrimental loss of the closure of the respective roads. More precisely, the Achilles-heel index indicates how many drivers are affected by the closure of the respective roads (the number of affected drivers is also called travel demand coverage). To this end, roads with maximum travel demand coverage are sorted as the most critical ones, for which a method-known as ''link analysis''-is adopted. In an iterative process, first, a road with highest traffic volume is first labeled as ''target link,'' and second, a portion of travel demand which is captured by the target link is excluded from travel demand. For the next iteration, the trimmed travel demand is then assigned to the network where all links including the target links run on the initial travel times. The process carries on until all links are labeled. The proposed methodology is applied to a largesized network of Winnipeg, Canada. The results shed light on also bottleneck points of the network which may warrant provision of additional capacity or parallel roads.

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“…A transport network component is considered critical if the probability and the consequence of the component's failure are high. In contrast, De Oliveira, da Silva Portugal, and Junior (2016) see criticality as a probabilityneutral concept. The different formalizations of criticality have resulted in a large number of criticality metrics, ranging from a simple measurement of road capacity (Sullivan et al, 2010) to more complicated indicators such as network connectivity measures (Kurauchi, Uno, Sumalee, & Seto, 2009).…”

Section: Introductionmentioning

confidence: 96%

Transport network criticality metrics: a comparative analysis and a guideline for selection

2019

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Transport network criticality analysis aims at ranking transport infrastructure elements based on their contribution to the performance of the overall infrastructure network. Despite the wide variety of transport network criticality metrics, little guidance is available on selecting metrics that are fit for the specific purpose of a study. To address this gap, this study reviews, evaluates and compares seventeen criticality metrics. First, we conceptually evaluate these metrics in terms of the functionality of the transport system that the metrics try to represent (either maintaining connectivity, reducing travel cost, or improving accessibility), the underlying ethical principles (either utilitarianism or egalitarianism), and the spatial aggregation considered by the metrics (either network-wide or localised). Next, we empirically compare the metrics by calculating them for eight transport networks. We define the empirical similarity between two metrics as the degree to which they yield similar rankings of infrastructure elements. Pairs of metrics that have high empirical similarity highlight the same set of transport infrastructure elements as critical. We find that empirical similarity is partly dependent on the network's topology. We also observe that metrics that are conceptually similar do not necessarily have high empirical similarity. Based on the insights from the conceptual and empirical comparison, we propose a five-step guideline for transport authorities and analysts to identify the set of criticality metrics to use which best aligns with the nature of their policy questions.

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Indicators of reliability and vulnerability: Similarities and differences in ranking links of a complex road system

Cited by 37 publications

References 20 publications

Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland

Towards Sustainable Development and Preventing Exclusions—Determining Road Accessibility at the Sub-Regional and Local Level in Rural Areas of Poland

Identifying Achilles-heel roads in real-sized networks

Transport network criticality metrics: a comparative analysis and a guideline for selection

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