TY  - JOUR
PY  - 2017//
TI  - Parametric analysis of roadway infrastructure vulnerability to disruptions
JO  - Journal of infrastructure systems
A1  - Dehghani Mohammad, Saied
A1  - Flintsch, Gerardo
A1  - McNeil, Sue
SP  - e04017017
EP  - e04017017
VL  - 23
IS  - 4
N2  - In the last few years, research studies have assessed the vulnerability of roadways to disasters and extreme events. However, in many of these studies the impact of the endogenous characteristics of the roadway network (such as the condition of the roads, and existing travel on the network) on roadway system vulnerability has not been adequately investigated. This paper investigates how condition of the roads, travel demand, travel patterns, and the position of links within the network affect the dynamics of vulnerably of the roadway systems. The method is applied to the Istanbul highway system and provides a probabilistic assessment of the vulnerability of the network using travel time and efficiency. The findings show that travel time vulnerability depends on the travel pattern in the network and increases with travel demand. The results also show that efficiency vulnerability and travel time vulnerability increase nonlinearly with network deterioration. When the network deterioration is not severe (disruption probabilities are low) the network efficiency vulnerability and travel time vulnerability depend on the average disruption probability of the roads within the network. With further deterioration (higher disruption probability values), both efficiency vulnerability and travel time vulnerability depend not only on the average disruption probability of the network but also on disruption probability of each link<p />  <p>Language: en</p>
LA  - en
SN  - 1076-0342
UR  - http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000371
ID  - ref1
ER  -