Estimating Pavement’s Flood Resilience

Khan, M. Ali; Mesbah, Mahmoud; Ferreira, Luis; Williams, David J.

doi:10.1061/jpeodx.0000007

Cited by 12 publications

(13 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Future work can incorporate observations on how road networks are impacted by relative contributions of specific drivers from marine sources (Serafin et al., 2017) and others, such as pluvial (Dave et al., 2021; Evans et al., 2020; Kelleher & McPhillips, 2020; Neumann et al., 2021; Pregnolato et al., 2017) or groundwater flooding (Habel et al., 2020, 2017; Plane et al., 2019; Rotzoll & Fletcher, 2013), or the potential importance of variability in flood duration (Arrighi et al., 2021; Darestani et al., 2021; de Bruijn et al., 2019; Najibi & Devineni, 2018; Pezza & White, 2021; Sweet et al., 2014). Adding traffic dynamics either through graph‐based approaches (e.g., Dong et al., 2022), or agent‐based traffic simulations (e.g., Hummel et al., 2020; Papakonstantinou et al., 2019) would also enrich future work, as would further investigation of material and mechanical properties of roadways to understand the event conditions likely to cause permanent damage (e.g., Khan et al., 2014, 2017; Mallick et al., 2017).…”

Section: Discussionmentioning

confidence: 99%

Thresholds in Road Network Functioning on US Atlantic and Gulf Barrier Islands

2022

View full text Add to dashboard Cite

Barrier islands predominate the Atlantic and Gulf coastlines of the USA, where population and infrastructure growth exceed national trends. Forward‐looking models of barrier island dynamics often include feedbacks with real estate markets and management practices aimed at mitigating damage to buildings from natural hazards. However, such models thus far do not account for networks of infrastructure, such as roads, and how the functioning of infrastructure networks might influence management strategies. Understanding infrastructure networks on barrier islands is an essential step toward improved insight into the future dynamics of human‐altered barriers. Here, we examine thresholds in the functioning of 72 US Atlantic and Gulf Coast barrier islands. We use digital elevation models to assign an elevation to each intersection in each road network. From each road network we sequentially remove intersections, starting from the lowest elevation. We use the maxima of the second giant connected component to identify a specific intersection—and corresponding elevation—at which functioning of the network fails, and we match the elevation of each critical intersection to local annual exceedance probabilities for extreme high‐water levels. We find a range of failure thresholds for barrier island road network functioning, and also find that no single metric—absolute elevation, annual exceedance probability, or a quantitative metric of robustness—sufficiently ranks the susceptibility of barrier road networks to failure. Future work can incorporate thresholds for road network into forward‐looking models of barrier island dynamics that include hazard‐mitigation practices for protecting infrastructure.

show abstract

Section: Discussionmentioning

confidence: 99%

Thresholds in Road Network Functioning on US Atlantic and Gulf Barrier Islands

2022

View full text Add to dashboard Cite

show abstract

“…Therefore, IRI gives a holistic assessment of functional performance under inundation. Previous studies evaluating concrete and flexible pavement flood impact employed IRI performance in both modeling and field analysis ( 8 , 10 , 12 , 17 , 46 ).…”

Section: Methodsmentioning

confidence: 99%

“…Several studies have reported changes in infrastructure deterioration trajectories because of changes in prolonged climate loads, extreme climate loads or both ( 5 , 8 , 15 , 16 ). Some studies have further investigated changes in performance and service life by quantifying damage, damage risk, pavement fragility, and asset value at risk per probability of flood occurrence, to promote climate change adaptation for pavement resilience in various climate scenarios ( 9 , 11 , 17 ). These studies provided insight into various factors of pavement resilience and sustainability performance under various climate change scenarios.…”

mentioning

confidence: 99%

Incorporating Flood Hazards into Pavement Sustainability Assessment

Achebe

Oyediji

Saari

et al. 2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

The functional and structural performance of pavement infrastructures are at risk from climate change impacts. However, past sustainability assessment studies do not consider how the performance of infrastructure will be affected by a changing climate. The goal of this research is to investigate the impacts of flooding in a unified assessment of the resilience and sustainability of pavement. A case study of concrete pavement was evaluated for scenarios with and without flooding. The AASHTOWare Pavement ME design program was used to simulate the structural performance of typical jointed plain concrete pavement (JPCP) designs for collector roads in Canada. Predicted performance was used in the resilience and sustainability assessment under scenarios with and without flooding. The damage ratio and cost of damage were assessed to quantify the resilience of concrete pavement to floods. Life cycle costs and environmental impacts were compared across a climate change scenario with consideration of maintenance and rehabilitation activities. Results reveal that a typical Ontario JPCP design with structural slab thickness < 200 mm is less resilient than the Manitoba design for collector roads, but the 25 mm slab thickness difference in Manitoba design can lead to 50% change in damage ratio and damage cost. When estimating the social cost associated with greenhouse gas and air pollutant emissions, the additional environmental impact resulting from flooding for the Ontario road is almost seven times that of the Manitoba road. However, the life cycle economic cost and environmental impact do not yield an overall benefit with increased slab thickness.

show abstract

“…Therefore, this study quantified the reduction in PSL (indicator of the long-term pavement performance) resulting from inundation for asphalt pavements. Several studies evaluated flood-induced damage by comparing inundated and non-inundated sections utilizing only post-inundation pavement testing data, since pre-inundation pavement testing data were unavailable (9,10,12,14). It is well recognized that different pavement sections may have different pavement structure, pavement condition, foundation type, traffic level, and so forth.…”

Section: Knowledge Gaps In the Literaturementioning

confidence: 99%

“…Considerable research has been conducted in recent years to evaluate the impacts of inundation on pavement functional and structural conditions ( 9 – 14 ). Yet, limited studies quantified how the change in pavement conditions affect the long-term pavement performance (in relation to reduction in the pavement service life [PSL]) and pavement life-cycle costs.…”

mentioning

confidence: 99%

Impact of the Great Flood of 2016 on the Asphaltic Concrete Road Infrastructure in Louisiana

Elseifi

Mousa

Gaspard³

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Extreme weather events, including inundation, are the major causes of weather-related disruption to the transportation sector. Considerable research has been conducted in recent years to evaluate the impacts of inundation on pavement functional and structural conditions. Yet, limited studies quantified how inundation may affect the long-term pavement performance and pavement life-cycle costs. As such, the main objective of this study was to quantify the impact of the 2016 inundation event in Louisiana, U.S., on the long-term pavement performance (in relation to reduction in the pavement service life [PSL]) and on pavement life-cycle costs. To achieve this objective, a total of 10 inundated pavement sections were evaluated. Pavement conditions, fatigue, and rutting indices for these sections were analyzed over a monitoring period of up to 15 years (11 years before and 4 years after inundation). Results indicated that the 2016 inundation event reduced the PSL of the inundated sections to an extent that depended on their pre-flooding pavement condition, traffic level, and asphalt concrete thickness. This reduction was attributed to the accelerated fatigue, rutting damage, or both, that resulted from prolonged water submergence and heavy traffic loading during debris hauling that took place after the inundation event. A logistic regression model with adequate accuracy was developed to predict whether an inundated pavement would experience reduction in its PSL based on the project conditions. The study findings were incorporated into a simple tool to assist transportation agencies make effective decisions for the maintenance and rehabilitation of inundated pavements.

show abstract

Estimating Pavement’s Flood Resilience

Cited by 12 publications

References 11 publications

Thresholds in Road Network Functioning on US Atlantic and Gulf Barrier Islands

Thresholds in Road Network Functioning on US Atlantic and Gulf Barrier Islands

Incorporating Flood Hazards into Pavement Sustainability Assessment

Impact of the Great Flood of 2016 on the Asphaltic Concrete Road Infrastructure in Louisiana

Contact Info

Product

Resources

About