TY - JOUR
T1 - Optimal levee installation planning for highway infrastructure protection against sea level rise
AU - Papakonstantinou, Ilia
AU - Lee, Jinwoo
AU - Madanat, Samer Michel
N1 - Funding Information:
This work was supported by the National Science Foundation under the CRISP program [grant number 1541181 ]. The authors thank Ruo-Qian Wang and Michelle Hummel for providing hydrodynamic simulation results, Madeline Sheehan for providing us with the data of the San Francisco Bay Area highway network and the code for processing it, and Jonghae Suh and Young Joun Ha for their help in conducting the traffic simulations. The authors benefited from discussions with the other participants of the research team.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/12
Y1 - 2019/12
N2 - Sea level rise predictions have motivated research towards the protection of shoreline infrastructures, including transportation systems. Transportation network interactions in cases of inundation can lead to severe disruptions that cause capacity and accessibility reduction and thus considerable delays, especially due to congestion feedback, because congestion occurring due to an inundated link or a link that becomes isolated through inundation of one of its nodes can lead to delays in other parts of the network, due to queue spillback or traffic rerouting. This paper describes a decision tool to support infrastructure protection planning against sea level rise. A simulation-based optimization model is designed to minimize delays occurring in a transportation system under inundation. The model considers budget constraints, hydrodynamic interactions within the shoreline, as well as traffic assignment in the network. The case study focuses on San Francisco Bay area, for a 0.5 m sea level rise that is expected in 2054 and may increase highway users’ travel time by 37%. The results show that the optimal strategies vary according to the available budget, and that there exist relatively critical shorelines to protect in order to reduce the traffic disruptions. We anticipate our research to provide a general framework for transportation infrastructure protection planning against sea level rises.
AB - Sea level rise predictions have motivated research towards the protection of shoreline infrastructures, including transportation systems. Transportation network interactions in cases of inundation can lead to severe disruptions that cause capacity and accessibility reduction and thus considerable delays, especially due to congestion feedback, because congestion occurring due to an inundated link or a link that becomes isolated through inundation of one of its nodes can lead to delays in other parts of the network, due to queue spillback or traffic rerouting. This paper describes a decision tool to support infrastructure protection planning against sea level rise. A simulation-based optimization model is designed to minimize delays occurring in a transportation system under inundation. The model considers budget constraints, hydrodynamic interactions within the shoreline, as well as traffic assignment in the network. The case study focuses on San Francisco Bay area, for a 0.5 m sea level rise that is expected in 2054 and may increase highway users’ travel time by 37%. The results show that the optimal strategies vary according to the available budget, and that there exist relatively critical shorelines to protect in order to reduce the traffic disruptions. We anticipate our research to provide a general framework for transportation infrastructure protection planning against sea level rises.
KW - Hydrodynamic interactions
KW - Protection of shoreline infrastructures
KW - San Francisco Bay Area
KW - Sea level rise
KW - Simulation-based optimization
KW - Transportation networks
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U2 - 10.1016/j.trd.2019.02.002
DO - 10.1016/j.trd.2019.02.002
M3 - Article
AN - SCOPUS:85061767675
SN - 1361-9209
VL - 77
SP - 378
EP - 389
JO - Transportation Research, Part D: Transport and Environment
JF - Transportation Research, Part D: Transport and Environment
ER -