Roadway flooding as a bellwether for household retreat in rural, coastal regions vulnerable to sea-level rise

Jasour, Zeinab Y.; Reilly, Allison; Tonn, Gina; Ferreira, Celso M.

doi:10.1016/j.crm.2022.100425

Cited by 13 publications

(4 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In short, reduced capacity to adapt or retreat from natural hazards is often aligned with historical land use policies, less political power, lower degrees of collective efficacy, and existing racial and socioeconomic disadvantages 7,11,12 .Current literature relies almost exclusively on measures of inundation (direct flooding) [13][14][15][16][17] to assess community risk, yet the risk that a land parcel is inundated is by itself an insufficient measure of the burdens created by SLR. Consider how the inundation of nonresidential land use and infrastructure, such as road networks, can disrupt access to, or isolate households from essential services such as hospitals, supermarkets, and schools [18][19][20] . Risk of isolation is a metric that can allow us to better characterize the short-and long-term effects of SLR effects on local communities.…”

mentioning

confidence: 99%

Demographics and risk of isolation due to sea level rise in the United States

Best,

He,

Reilly

et al. 2023

Nat Commun

Self Cite

View full text Add to dashboard Cite

Within coastal communities, sea level rise (SLR) will result in widespread intermittent flooding and long-term inundation. Inundation effects will be evident, but isolation that arises from the loss of accessibility to critical services due to inundation of transportation networks may be less obvious. We examine who is most at risk of isolation due to SLR, which can inform community adaptation plans and help ensure that existing social vulnerabilities are not exacerbated. Combining socio-demographic data with an isolation metric, we identify social and economic disparities in risk of isolation under different SLR scenarios (1-10 ft) for the coastal U.S. We show that Black and Hispanic populations face a disproportionate risk of isolation at intermediate levels of SLR (4 ft and greater). Further, census tracts with higher rates of renters and older adults consistently face higher risk of isolation. These insights point to significant inequity in the burdens associated with SLR.

show abstract

mentioning

confidence: 99%

Demographics and risk of isolation due to sea level rise in the United States

Best,

He,

Reilly

et al. 2023

Nat Commun

Self Cite

View full text Add to dashboard Cite

show abstract

“…This integrated approach allows for continuous and comprehensive monitoring of road conditions, detecting issues such as cracks, potholes, and structural weaknesses long before they become severe problems. Various studies have appraised the difficulties posed by flooding resulting from precipitation runoff and obstructed drainage with [9], [10] and [11] revealing concerns about how social economic practices and climate change continue to further exacerbate its consequences on civil, and specifically land Online First transportation infrastructure. In their study, [12] and [13] opined that population growth, land use, and the need for housing have promoted continued watershed alterations via the development of more impermeable surfaces, construction on flood plains and land reclamation from swampy areas within the metropolis have become flood risk accelerators together with the challenge of rising sea levels, more incessant and aggressive rainfalls and the overall decadence and in some cases obsolescence in drainage infrastructure in many communities.…”

Section: Literature Reviewmentioning

confidence: 99%

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

Fameso,

Ndambuki,

Kupolati

et al. 2024

Sci. Eng. Technol.

View full text Add to dashboard Cite

The integration of remote technology into the construction industry has advanced the emergence of smart, self-learning infrastructure across all levels of land transportation design and development. However, energy harvesting capabilities for smart road ventilation purposes have not yet been fully researched as the world gravitates towards energy sustainability. This study thus presents a mathematical investigation of the self-draining design potentials of road pavements, leveraging on energy absorption and conversion to accelerate conductive and convective ventilation of these pavements during wet conditions, as a means of ensuring the skid resistance and safety of such pavements are not compromised. Applying numerical methods with the aid of commercial software code MATLAB®, the classical physics of fluid-surface interaction was used to model accelerated drainage of microflood off paved surfaces through methodical modification of the thickness of the boundary layer associated with the flow regime over the flat road surface. Results indicate significant influences of energy exchange, thermal, and viscous diffusivity on flow acceleration. Alterations in parameters such as the slip factor, thermally induced Brownian motion or phoretic characteristics of the fluid particles at the boundary induce accelerated flow at the surface of the pavement. The findings contribute to the advancement of smart infrastructure by offering practical insights into the potential benefits of integrating energy-harvesting technologies into road pavement systems. By optimizing flow acceleration mechanisms, smart pavements can play a crucial role in improving road safety and sustainability in urban environments.

show abstract

“…Indirect impacts can manifest larger consequences outside of the immediate vicinity of a flooded road (Coles et al, 2017). Due to the likelihood of increased flooding in the future as a result of global climate change, resource access disruption caused by road network disruptions can be used as an indicator for future household flooding (Jasour et al, 2022).…”

Section: Background Inequitable Access To Critical Resourcesmentioning

confidence: 99%

“…that individuals may need to access during and immediately after a disaster event. Due to the fact that numerous critical resources may also be distributed inequitably across cities and regions (Liu et al, 2014;Akhavan et al, 2019;Barbosa et al, 2021), socially vulnerable groups may lose access to critical resources to a greater extent than less vulnerable groups (Fitzpatrick et al, 2020;Gangwal and Dong, 2022;Jasour et al, 2022). Having the ability to quickly and accurately estimate transportation network disruptions can better inform emergency response personnel (e.g., ambulance services, fire and police first responders) on how to traverse the network more efficiently, thus having a more effective response to disasters (Gil and Steinbach, 2008;Lhomme et al, 2013;Yin et al, 2016;Green et al, 2017).…”

mentioning

confidence: 99%

A network-based analysis of critical resource accessibility during floods

Preisser,

Passalacqua,

Bixler

et al. 2023

Front. Water

View full text Add to dashboard Cite

Numerous government and non-governmental agencies are increasing their efforts to better quantify the disproportionate effects of climate risk on vulnerable populations with the goal of creating more resilient communities. Sociodemographic based indices have been the primary source of vulnerability information the past few decades. However, using these indices fails to capture other facets of vulnerability, such as the ability to access critical resources (e.g., grocery stores, hospitals, pharmacies, etc.). Furthermore, methods to estimate resource accessibility as storms occur (i.e., in near-real time) are not readily available to local stakeholders. We address this gap by creating a model built on strictly open-source data to solve the user equilibrium traffic assignment problem to calculate how an individual's access to critical resources changes during and immediately after a flood event. Redundancy, reliability, and recoverability metrics at the household and network scales reveal the inequitable distribution of the flood's impact. In our case-study for Austin, Texas we found that the most vulnerable households are the least resilient to the impacts of floods and experience the most volatile shifts in metric values. Concurrently, the least vulnerable quarter of the population often carries the smallest burdens. We show that small and moderate inequalities become large inequities when accounting for more vulnerable communities' lower ability to cope with the loss of accessibility, with the most vulnerable quarter of the population carrying four times as much of the burden as the least vulnerable quarter. The near-real time and open-source model we developed can benefit emergency planning stakeholders by helping identify households that require specific resources during and immediately after hazard events.

show abstract

Roadway flooding as a bellwether for household retreat in rural, coastal regions vulnerable to sea-level rise

Cited by 13 publications

References 59 publications

Demographics and risk of isolation due to sea level rise in the United States

Demographics and risk of isolation due to sea level rise in the United States

Boundary Layer Modelling of Flow Acceleration and Energy Transfer Effects in Smart Pavement Design

A network-based analysis of critical resource accessibility during floods

Contact Info

Product

Resources

About