Transportation Infrastructure Protection Planning against Sea Level Rise: Analysis Using Operational Landscape Units

Jonghae Suh, Alain Tcheukam Siwe, Samer Madanat

Research output: Contribution to journalArticle

Abstract

This paper addresses the problem of the optimal coastal protection area against sea level rise by utilizing fine-grained homogeneous segments, namely, operational landscape units (OLUs). The approach is demonstrated through a case study application focused on San Mateo County and Santa Clara County in the San Francisco Bay Area. We use the Coastal Storm Modelling System (CoSMoS) for detailed predictions of coastal flooding and inundation of bay-shore segments. The result of these hydrodynamic interactions leads to transportation network disruptions that, in turn, lead to changes in traffic flow patterns. Specifically, under a 0.5-m sea level rise scenario that is expected to occur in 2054, we forecast transportation network disruptions due to the inundation from the sea level rise and assess the impacts of protecting OLUs in the two counties of interest in terms of travel time delay reduction over the entire San Francisco Bay Area. We use agent-based traffic simulation (MATSim) with a daily activity list for 500,000 commuters. Finally, our results identify the most critical OLUs in San Mateo County and Santa Clara County. We conclude that the optimal coastal segment protection strategies depend strongly on the hydrodynamic interactions between neighboring counties and OLUs and on the traffic flow patterns after inundations. In forthcoming studies, long-term land use pattern change should be considered to establish protection strategies of coastal areas.

Original languageEnglish (US)
Article number04019024
JournalJournal of Infrastructure Systems
Volume25
Issue number3
DOIs
StatePublished - Sep 1 2019

Fingerprint

Sea level
Planning
Flow patterns
Hydrodynamics
Travel time
Land use
Time delay

ASJC Scopus subject areas

  • Civil and Structural Engineering

Cite this

Transportation Infrastructure Protection Planning against Sea Level Rise : Analysis Using Operational Landscape Units. / Suh, Jonghae; Siwe, Alain Tcheukam; Madanat, Samer.

In: Journal of Infrastructure Systems, Vol. 25, No. 3, 04019024, 01.09.2019.

Research output: Contribution to journalArticle

@article{d01866aec8284cd1910a416bce4e22a7,
title = "Transportation Infrastructure Protection Planning against Sea Level Rise: Analysis Using Operational Landscape Units",
abstract = "This paper addresses the problem of the optimal coastal protection area against sea level rise by utilizing fine-grained homogeneous segments, namely, operational landscape units (OLUs). The approach is demonstrated through a case study application focused on San Mateo County and Santa Clara County in the San Francisco Bay Area. We use the Coastal Storm Modelling System (CoSMoS) for detailed predictions of coastal flooding and inundation of bay-shore segments. The result of these hydrodynamic interactions leads to transportation network disruptions that, in turn, lead to changes in traffic flow patterns. Specifically, under a 0.5-m sea level rise scenario that is expected to occur in 2054, we forecast transportation network disruptions due to the inundation from the sea level rise and assess the impacts of protecting OLUs in the two counties of interest in terms of travel time delay reduction over the entire San Francisco Bay Area. We use agent-based traffic simulation (MATSim) with a daily activity list for 500,000 commuters. Finally, our results identify the most critical OLUs in San Mateo County and Santa Clara County. We conclude that the optimal coastal segment protection strategies depend strongly on the hydrodynamic interactions between neighboring counties and OLUs and on the traffic flow patterns after inundations. In forthcoming studies, long-term land use pattern change should be considered to establish protection strategies of coastal areas.",
author = "Jonghae Suh and Siwe, {Alain Tcheukam} and Samer Madanat",
year = "2019",
month = "9",
day = "1",
doi = "10.1061/(ASCE)IS.1943-555X.0000506",
language = "English (US)",
volume = "25",
journal = "Journal of Infrastructure Systems",
issn = "1076-0342",
publisher = "American Society of Civil Engineers (ASCE)",
number = "3",

}

TY - JOUR

T1 - Transportation Infrastructure Protection Planning against Sea Level Rise

T2 - Analysis Using Operational Landscape Units

AU - Suh, Jonghae

AU - Siwe, Alain Tcheukam

AU - Madanat, Samer

PY - 2019/9/1

Y1 - 2019/9/1

N2 - This paper addresses the problem of the optimal coastal protection area against sea level rise by utilizing fine-grained homogeneous segments, namely, operational landscape units (OLUs). The approach is demonstrated through a case study application focused on San Mateo County and Santa Clara County in the San Francisco Bay Area. We use the Coastal Storm Modelling System (CoSMoS) for detailed predictions of coastal flooding and inundation of bay-shore segments. The result of these hydrodynamic interactions leads to transportation network disruptions that, in turn, lead to changes in traffic flow patterns. Specifically, under a 0.5-m sea level rise scenario that is expected to occur in 2054, we forecast transportation network disruptions due to the inundation from the sea level rise and assess the impacts of protecting OLUs in the two counties of interest in terms of travel time delay reduction over the entire San Francisco Bay Area. We use agent-based traffic simulation (MATSim) with a daily activity list for 500,000 commuters. Finally, our results identify the most critical OLUs in San Mateo County and Santa Clara County. We conclude that the optimal coastal segment protection strategies depend strongly on the hydrodynamic interactions between neighboring counties and OLUs and on the traffic flow patterns after inundations. In forthcoming studies, long-term land use pattern change should be considered to establish protection strategies of coastal areas.

AB - This paper addresses the problem of the optimal coastal protection area against sea level rise by utilizing fine-grained homogeneous segments, namely, operational landscape units (OLUs). The approach is demonstrated through a case study application focused on San Mateo County and Santa Clara County in the San Francisco Bay Area. We use the Coastal Storm Modelling System (CoSMoS) for detailed predictions of coastal flooding and inundation of bay-shore segments. The result of these hydrodynamic interactions leads to transportation network disruptions that, in turn, lead to changes in traffic flow patterns. Specifically, under a 0.5-m sea level rise scenario that is expected to occur in 2054, we forecast transportation network disruptions due to the inundation from the sea level rise and assess the impacts of protecting OLUs in the two counties of interest in terms of travel time delay reduction over the entire San Francisco Bay Area. We use agent-based traffic simulation (MATSim) with a daily activity list for 500,000 commuters. Finally, our results identify the most critical OLUs in San Mateo County and Santa Clara County. We conclude that the optimal coastal segment protection strategies depend strongly on the hydrodynamic interactions between neighboring counties and OLUs and on the traffic flow patterns after inundations. In forthcoming studies, long-term land use pattern change should be considered to establish protection strategies of coastal areas.

UR - http://www.scopus.com/inward/record.url?scp=85068205381&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068205381&partnerID=8YFLogxK

U2 - 10.1061/(ASCE)IS.1943-555X.0000506

DO - 10.1061/(ASCE)IS.1943-555X.0000506

M3 - Article

AN - SCOPUS:85068205381

VL - 25

JO - Journal of Infrastructure Systems

JF - Journal of Infrastructure Systems

SN - 1076-0342

IS - 3

M1 - 04019024

ER -