On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach
<p>Road networks are complex interconnected systems. Any sudden disruption can result in debilitating impacts on human life or the economy. In particular, road systems in mountain areas are highly vulnerable, because they often do not feature redundant elements at comparable efficiencies.</...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-01-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | https://www.nat-hazards-earth-syst-sci.net/19/201/2019/nhess-19-201-2019.pdf |
| Summary: | <p>Road networks are complex interconnected systems. Any sudden disruption can
result in debilitating impacts on human life or the economy. In particular,
road systems in mountain areas are highly vulnerable, because they often do
not feature redundant elements at comparable efficiencies.</p>
<p>This paper addresses the impacts of network interruptions caused by
landslide events on the (rural) road network system in Vorarlberg, Austria.</p>
<p>Based on a landslide susceptibility map we demonstrate the performance of
agent-based traffic modelling using disaggregated agent data. This allows
us to gain comprehensive insights into the impacts of road network
interruptions on the mobility behaviour of affected people. Choosing an
agent-based activity-chain model enables us to integrate the individual
behavioural decision-making processes into the traffic flow model. The
detailed representation of individual agents in the transport model allows
optimisation of certain characteristics of agents and including their
social learning effects into the system.</p>
<p>Depending on the location of the interruption, our findings reveal median
deviation times ranging between several minutes and more than half an hour,
with effects being more severe for employed people than for unemployed
individuals.</p>
<p>Moreover, results show the benefits of using agent-based traffic modelling
for assessing the impacts of road network interruptions on rural
communities by providing insights into the characteristics of the population
affected, as well as the effects on daily routines in terms of detour
costs. This allows hazard managers and policymakers to increase the
resilience of rural road network systems in remote areas.</p> |
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| ISSN: | 1561-8633 1684-9981 |