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

Abstract

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.

Identification of critical combination of vulnerable links in transportation networks – a global optimisation approach

“…Besides, in the future, we will develop a model and solution method to handle the case of node failures. Moreover, we will extend the current methodology to handle other vulnerability measures (e.g., Balijepalli and Oppong, 2014;Chen et al, 2007;Ho et al, 2013;Luathep et al, 2011b) and demand uncertainty (e.g., Chen and Yang, 2004;Chen et al, 2010;Ng and Waller, 2009a,b;Chen et al 2011;Li et al, 2012Li et al, , 2014 to find the critical combination of vulnerable links.…”

Vulnerability and resilience of transport systems – A discussion of recent research

“…Snelder et al (2012) develop a framework for robustness analysis that synthesises and extends many of the ideas that hitherto have been applied in vulnerability studies. In contrast to previous studies, Balijepalli and Oppong (2014) focus on road networks in urban areas. They compare the performance of several vulnerability indices usually applied to sparse regional networks and suggest a new index more relevant to urban networks by considering the importance of the road links for the urban network and illustrate its computation in the event of a flooding in the city of York in England.…”

Vulnerabilidade da rede viária urbana: avaliação considerando risco e emissão de gases de efeito estufa

“…Esse dado é esperado, pois, usualmente, o tempo de viagem é o principal fator de influência do custo da viagem a ser analisado em trabalhos de modelagem de tráfego (Leng et al, 2018), sendo um dos componentes do custo generalizado (Balijepalli & Oppong, 2014 Nessa linha, o presente estudo considera o tempo de viagem para alocação dos veículos na rede viária, sendo fator de influência na decisão de qual rota escolher após uma ruptura (Atividade 1 do método do estudo). Ademais, para efeito da análise da vulnerabilidade, considerou-se somente o indicador de distância total (pós-ruptura), que representa o aumento da quilometragem total percorrida após a ocorrência de uma interrupção em um ou mais arcos da rede, uma vez que se pretende analisar, concomitantemente, as emissões de CO 2 -eq, que variam diretamente com a distância/o consumo (Brasil, 2013).…”