Resilience in transportation systems: a systematic review and future directions

Wan, Chengpeng; Yang, Zaili; Zhang, Di; Yan, Xinping; Fan, Shiqi

doi:10.1080/01441647.2017.1383532

Cited by 286 publications

(158 citation statements)

References 60 publications

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“…In the context of the transportation system, resilience was defined as the ability of the system to "absorb disturbances, maintain its basic structure and function, and recover to a required level of service within an acceptable time and costs after being affected by disruptions" (Wan et al, 2018). Meanwhile, Wan et al (2018b) also emphasised the necessity of incorporating the diverse characterises of transportation resilience into a new evaluation framework, together with advanced quantitative modelling methods to deal with uncertainties in resilience assessment. Hence, in this study, a new risk parameter namely "climate resilience" has been added to address this need.…”

Section: Critical Reviewmentioning

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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Section: Critical Reviewmentioning

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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“…While international efforts to mitigate anthropogenic climate change continue, it is recognised that cities and communities must adapt to unavoidable changes in climate conditions. With over half of the global population residing in cities, and with the frequency and intensity of extreme weather events projected to increase, the resilience of transport infrastructure systems is a priority (Fiksel, 2003;Wan, Yang, Zhang, Yan, & Fan, 2018). Globally, the interconnectedness of social, built environment and natural systems is generating highly complex, dynamic challenges that require new design and engineering approaches .…”

Section: Introductionmentioning

confidence: 99%

“…A growing body of literature articulates the benefits of enhancing critical infrastructure resilience to climate change (Fiksel, 2003;Huq, Kovats, Reid, & Satterthwaite, 2007;IPCC, 2014a;Moensch, Tyler, & Lage, 2011;UNISDR, 2015). Yet despite recognition of the important role of critical infrastructure, there is still much to be done to improve resilience in transport networks worldwide (IPCC, 2014a;Regmi & Hanaoka, 2011;Wan et al, 2018). Where pursued at all, efforts to enhance infrastructure resilience typically involve singlepoint-in-time design adaptations to make the asset more rigid and impermeable to impact.…”

Section: Introductionmentioning

confidence: 99%

Leveraging socio-ecological resilience theory to build climate resilience in transport infrastructure

et al. 2019

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Anthropogenic climate change poses risks to transport infrastructure that include disrupted operations, reduced lifespan and increased reconstruction and maintenance costs. Efforts to decrease the vulnerability of transport networks have been largely limited to understanding projected risks through governance and administrative efforts. Where physical adaptation measures have been implemented, these have typically aligned with a traditional "engineering resilience" approach of increasing the strength and rigidity of assets to withstand the impacts of climate change and maintain a stable operating state. Such systems have limited agility and are susceptible to failure from "surprise events". Addressing these limitations, this paper considers an alternate approach to resilience, inspired by natural ecosystems that sense conditions in real-time, embrace multi-functionality and evolve in response to changing environmental conditions. Such systems embrace and thrive on unpredictability and instability. This paper synthesises key literature in climate adaptation and socio-ecological resilience theory to propose a shift in paradigm for transport infrastructure design, construction and operation, towards engineered systems that can transform, evolve and internally manage vulnerability. The authors discuss the opportunity for biomimicry (innovation inspired by nature) as an enabling discipline for supporting resilient and regenerative infrastructure, introducing three potential tools and frameworks. The authors conclude the importance of leveraging socio-ecological resilience theory, building on the achievements in engineering resilience over the past century. These findings have immediate practical applications in redefining resilience approaches for new transport infrastructure projects and transport infrastructure renewal.

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“…Firstly, analyzing the reasons for ship detention in ship lock areas is helpful for administrative officers on actively responding to similar situations. Secondly, the proposed countermeasures, as well as the flexible approaches presented in this paper, can be tailored and used to achieve congestion risk reduction in other ship locks to improve the transportation safety and efficiency [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy-Based Decision-Making Model for Improving the Carrying Capacity of Ship Locks: A Three Gorges Dam Case

Shi

Zhang

et al. 2019

JMSE

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This paper develops a decision-making model to assist the improvement of the carrying capacity of ship locks by combing fuzzy logic, the analytic hierarchy process (AHP) method, and the technique for order preference by similarity to an ideal solution (TOPSIS). A three-level hierarchical structure is constructed to identify the key factors influencing the carrying capacity of ship locks from the aspects of ship locks, vessels, environment, and administration. On this basis, a series of targeted strategies have been put forward to improve the carrying capacity of ship locks, and the TOPSIS method is applied to rank these strategies in terms of their performance. A case study of the five-stage dual-track ship lock of the Three Gorges Dam in China has been conducted to demonstrate the feasibility and rationality of the proposed model, and correlation analysis is conducted to verify the identified influencing factors in order to eliminate potential bias which may be generated from using AHP. The results obtained from the proposed methods are consistent with the real-life situation to a certain extent, indicating that the proposed method can provide a useful reference for improving the carrying capacity of ship locks.

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Resilience in transportation systems: a systematic review and future directions

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Cited by 286 publications

References 60 publications

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

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

Leveraging socio-ecological resilience theory to build climate resilience in transport infrastructure

A Fuzzy-Based Decision-Making Model for Improving the Carrying Capacity of Ship Locks: A Three Gorges Dam Case

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