Adapting transportation to climate change on federal lands in Washington State, U.S.A.

Strauch, Ronda; Raymond, Crystal L.; Rochefort, Regina M.; Hamlet, Alan F.; Lauver, Chris L.

doi:10.1007/s10584-015-1357-7

Cited by 35 publications

(37 citation statements)

References 32 publications

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“…6). In these analyses, IC values were classified into four classes (low, medium-low, medium-high and high), by identifying classes limits that best grouped similar values and maximized the differences between classes using the Jenks natural breaks (Jenks, 1967) following the approach used in similar contexts by Surian et al (2016), Tarolli and Sofia (2016) and Tiranti et al (2016). The IC lin map highlighted that the northern and western parts of the catchment were characterized by medium-high and high connectivity (Fig.…”

Section: Map Of Ic Reconstructed Through Linear and Non-linear Methodmentioning

confidence: 99%

“…This aim is particularly important, also because much research (Nemry and Demirel, 2012;Michaelides, 2014;Strauch et al, 2015;Klose et al, 2017;Matulla et al, 2017) has stressed that the exposure of road networks to slope instabilities could increase as a consequence of the climate change and of the economic rising income in different countries.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni

Persichillo

Meisina

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Landslides cause severe damage to the road network of the hit zone, in terms of both direct (partial or complete destruction of a road or blockages) and indirect (traffic restriction or the cut-off of a certain area) costs. Thus, the identification of the parts of the road network that are more susceptible to landslides is fundamental to reduce the risk to the population potentially exposed and the financial expense caused by the damage. For these reasons, this paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to being hit by shallow landslides triggered in slopes upstream from the infrastructure. This model was based on the Generalized Additive Method, where the function relating predictors and response variable is an empirically fitted smooth function that allows fitting the data in the more likely functional form, considering also non-linear relations. This work also analyzed the importance, on the estimation of the susceptibility, of considering or not the sediment connectivity, which influences the path and the travel distance of the materials mobilized by a slope failure until hitting a potential barrier such as a road. The study was carried out in a catchment of northeastern Oltrepò Pavese (northern Italy), where several shallow landslides affected roads in the last 8 years. The most significant explanatory variables were selected by a random partition of the available dataset in two parts (training and test subsets), 100 times according to a bootstrap procedure. These variables (selected 80 times by the bootstrap procedure) were used to build the final susceptibility model, the accuracy of which was estimated through a 100-fold repetition of the holdout method for regression, based on the training and test sets created through the 100 bootstrap model selection. The presented methodology allows the identification, in a robust and reliable way, of the most susceptible road sectors that could be hit by sediments delivered by landslides. The best predictive capability was obtained using a model in which the index of connectivity was also calculated according to a linear relationship, was considered. Most susceptible road traits resulted to be located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. Different land use scenarios were considered in order to estimate possible changes in road susceptibility. Land use classes of the study area were characterized by similar connectivity features. As a consequence, variations on the susceptibility of the road network according to different scenarios of distribution of land cover were limited. The results of this research demonstrate the ability of the developed methodology in the assessment of susceptible roads. This could give the managers of infrastructure information about the criticality of the different road traits, thereby allowing attention and economic budgets to be shifted towards the most critical assets, where structural and non-structur...

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Section: Map Of Ic Reconstructed Through Linear and Non-linear Methodmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni

Persichillo

Meisina

et al. 2018

Nat. Hazards Earth Syst. Sci.

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show abstract

“…The majority of current studies related to climate change adaptation primarily focused on physical infrastructures, such as bridges, pavements and drainage systems (TRB, 2008;De Bruin et al, 2009). Concerning climate adaptation of road infrastructure, Strauch et al (2015) identified that the temperature changes in hydrological regimes increased flooding in autumn and reduced snowpack in spring, and higher soil moisture in winter led to the reduction of slope stability in Washington State, USA. Adaptation strategies were proposed to upgrade, change or maintain stream crossing and drainage design, revise funding policies, relocate or close roads and increase public participants.…”

Section: Critical Reviewmentioning

confidence: 99%

“…To adequately address the impacts of climate change on roads, adaptation strategies have been put forward and applied in real cases (e.g. Strauch et al, 2015). Although considerable research on climate adaptation has been undertaken in recent decades, existing studies focusing on climate adaptation of the transport sector are still scanty (e.g.…”

Section: Introductionmentioning

confidence: 99%

How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework

Wang

Yang

et al. 2019

Transportation Research Part D: Transport and Environment

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How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework http://researchonline.ljmu.ac.uk/id/eprint/10349/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively.This paper aims to analyse the impacts of climate change to the current and predicted future situations of road transportation in the UK and evaluate the corresponding adaptation plans to cope with them. A conceptual framework of long-term adaptation planning for climate change in road systems is proposed to ensure the resilience and sustainability of road transport systems under various climate risks such as flooding and increased temperature. To do so, an advanced Fuzzy Bayesian Reasoning (FBR) model is first employed to evaluate the climate risks in the UK road transport networks. This modelling approach can tackle the high uncertainty in risk data and thus facilitate the development of the climate adaptation framework and its application in the UK road sector. To examine the feasibility of this model, a nationwide survey is conducted among the stakeholders to analyse the climate risks, in terms of the timeframe of climate threats, the likelihood of occurrence, the severity of consequences, and infrastructure resilience. From the modelling perspective, this work brings novelty by expanding the risk attribute "the severity of consequence" into three sub-attributes including economic loss, damage to the environment, and injuries and/or loss of life. It advances the-state-of-the-art technique in the current relevant literature from a single to multiple tier climate risk modelling structure. Secondly, an Evidential Reasoning (ER) approach is used to prioritise the best adaptation measure(s) by considering both the risk analysis results from the FBR and the implementation costs simultaneously. The main new contributions of this part lie in the rich raw data collected from the real world to provide useful practical insights for achieving road resilience when facing increasing climate risk challenges. During this process, a qualitative analysis of several national reports regarding the impacts posed by climate change, risk assessment and adaptation measures in the UK road sector is conducted for the relevant decision data (i.e. risk and cost). It is also supplemented by an in-depth interview with a senior planner from Highways England. The findings provide road planners and decision makers with useful insights on identification and prioritisation of climate threats as well as selection of costeffective climate adaptation measures to rationalise adaptation planning.

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“…Over the next 50-100 years climate change is projected to cause major changes in hydrology across Washington State (Salathè et al, 2014). In response, government agencies in Washington have conducted climate change vulnerability assessments for road infrastructure (Halofsky et al, 2011;WSDOT, 2011;MacArthur et al, 2012;Strauch et al, 2015). One finding of these assessments is that current standards for culvert and bridge design may no longer be applicable under a changing climate.…”

Section: Introductionmentioning

confidence: 99%

Incorporating climate change into culvert design in Washington State, USA

Wilhere

Atha

Quinn

et al. 2017

Ecological Engineering

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Adapting transportation to climate change on federal lands in Washington State, U.S.A.

Cited by 35 publications

References 32 publications

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework

Incorporating climate change into culvert design in Washington State, USA

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