Incorporating Resilience into Transportation Planning and Assessment

Weilant, Sarah; Strong, Aaron; Miller, Benjamin M.

doi:10.7249/rr3038

Cited by 21 publications

(13 citation statements)

References 54 publications

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“…Government agencies are addressing and measuring resilience in their infrastructure planning processes. Weilant et al provide a comprehensive report offering recommendations to state departments of transportation (DOTs) and metropolitan planning organizations (MPOs) incorporating resilience into long-term transportation planning (6). The report examines traditional transportation planning processes and suggests how state DOTs and MPOs can modify the Federal Highway Administration's (FHWA) Vulnerability Assessment and Adaptation Framework to better address resilience considerations in long-term decision making (7).…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Fuel Resiliency: Case Study of Tampa Bay

Kolpakov

Sipiora

Johnson

et al. 2021

Transportation Research Record

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This case study presents findings from an analysis of the emergency preparation and response for Hurricane Irma, the most recent hurricane impacting the Tampa Bay region. The Tampa Bay region, in particular, is considered one of the most vulnerable areas in the United States to hurricanes and severe tropical weather. A particular vulnerability stems from how all petroleum fuel comes to the area by marine transport through Port Tampa Bay, which can be (and has been in the past) impacted by hurricanes and tropical storms. The case study discussed in this paper covers previous fuel challenges, vulnerabilities, and lessons learned by key Tampa Bay public agency fleets during the past 10 years (mainly as a result of the most recent 2017 Hurricane Irma) to explore ways to improve the area’s resilience to natural disasters. Some of the strategies for fuel-supply resiliency include maintaining emergency fuel supply, prioritizing fuel use, strategically placing the assets around the region to help with recovery, investing in backup generators (including generators powered by alternative fuels), planning for redundancies in fuel supply networks, developing more efficient communication procedures between public fleets, hurricane preparedness-planning, and upgrading street drainage systems to reduce the threat of local flooding.

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Section: Literature Reviewmentioning

confidence: 99%

Transportation Fuel Resiliency: Case Study of Tampa Bay

Kolpakov

Sipiora

Johnson

et al. 2021

Transportation Research Record

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“…Existing literature related to community resilience, however, has paid relatively little attention to the interactions among populations, business services, and the built environment [23,24]. In fact, the built environment is regarded as a means rather than an end in the resilience assessment [25]. For example, while the absorptive capacity of hospitals is an important dimension in community resilience, a population's access to and demands upon healthcare services during a disaster should also be assessed [26].…”

Section: Introductionmentioning

confidence: 99%

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

Podesta

Coleman

Esmalian

et al. 2021

J. R. Soc. Interface.

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This research establishes a methodological framework for quantifying community resilience based on fluctuations in a population's activity during a natural disaster. Visits to points-of-interests (POIs) over time serve as a proxy for activities to capture the combined effects of perturbations in lifestyles, the built environment and the status of business. This study used digital trace data related to unique visits to POIs in the Houston metropolitan area during Hurricane Harvey in 2017. Resilience metrics in the form of systemic impact, duration of impact, and general resilience (GR) values were examined for the region along with their spatial distributions. The results show that certain categories, such as religious organizations and building material and supplies dealers had better resilience metrics—low systemic impact, short duration of impact, and high GR. Other categories such as medical facilities and entertainment had worse resilience metrics—high systemic impact, long duration of impact and low GR. Spatial analyses revealed that areas in the community with lower levels of resilience metrics also experienced extensive flooding. This insight demonstrates the validity of the approach proposed in this study for quantifying and analysing data for community resilience patterns using digital trace/location-intelligence data related to population activities. While this study focused on the Houston metropolitan area and only analysed one natural hazard, the same approach could be applied to other communities and disaster contexts. Such resilience metrics bring valuable insight into prioritizing resource allocation in the recovery process.

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“…Recent studies on traffic resilience explore the role played by the structural and topological characteristics of the road network in reducing travel time delays (9,10). They suggest a variety of network flow-based metrics (11,12) and graph theoretic metrics (13,14) to estimate traffic resilience, but there is no consensus on a single metric (15).…”

Section: Introductionmentioning

confidence: 99%

When floods hit the road: Resilience to flood-related traffic disruption in the San Francisco Bay Area and beyond

Kasmalkar

Serafin

et al. 2020

Sci. Adv.

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As sea level rises, urban traffic networks in low-lying coastal areas face increasing risks of flood disruptions. Closure of flooded roads causes employee absences and delays, creating cascading impacts to communities. We integrate a traffic model with flood maps that represent potential combinations of storm surges, tides, seasonal cycles, interannual anomalies driven by large-scale climate variability such as the El Niño Southern Oscillation, and sea level rise. When identifying inundated roads, we propose corrections for potential biases arising from model integration. Our results for the San Francisco Bay Area show that employee absences are limited to the homes and workplaces within the areas of inundation, while delays propagate far inland. Communities with limited availability of alternate roads experience long delays irrespective of their proximity to the areas of inundation. We show that metric reach, a measure of road network density, is a better proxy for delays than flood exposure.

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Incorporating Resilience into Transportation Planning and Assessment

Cited by 21 publications

References 54 publications

Transportation Fuel Resiliency: Case Study of Tampa Bay

Transportation Fuel Resiliency: Case Study of Tampa Bay

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

When floods hit the road: Resilience to flood-related traffic disruption in the San Francisco Bay Area and beyond

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