<p>The main objective of this thesis is to analyze the
transportation infrastructure based on performance measures. In doing so, the abstract
presents a transportation network as a system of nodes and links. It is
important to identify critical components in transportation networks. In
identifying critical components of the network, performance measures such as nodal
degree, nodal closeness, nodal eigen vector, nodal betweenness, which are the
most widely used were explored in the analysis of the network. These measures
account for the vulnerability of a node to failure in the transportation
network.</p>
<p>In our daily use of transportation networks, we are faced
with disruptions that engender change in the transportation network.
Disruptions tend to be commonplace in transportation systems. These include
manmade disruptions such as accidents to natural disasters such as floods due
to rainfall and hurricanes, seismic activities among others which are
unprecedented. These incidents change how road users interact with the
transportation system due to the disruptions that occur. The disruptions cause
increased travel time, delays and even loss of property. These disruptions lead
to direct, indirect and induced impacts.</p>
<p>This study provides a firsthand diagnosis of the vulnerability
of the transportation network to flood by ranking the nodes using performance
measures and multicriteria evaluation. The paper found out that various
performance measures may produce different critical nodes but with the
employment of sensitivity analysis and
veto rule, the most critical node can be established The paper found out that
node 80 is the most critical and essential node of the entire network after the
impact of flood. </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/13343354 |
| Date | 16 December 2020 |
| Creators | Audrey Lafia-Bruce (9739793) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/TRANSPORTATION_INFRASTRUCTURE_NETWORK_PERFORMANCE_ANALYSIS/13343354 |
Page generated in 0.0021 seconds