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• Assess national Food Supply Chain (FSC) resilience by combining production-to-supply ratios and shipping connectivity. • Analyse the UK's FSC resilience, concerning the impacts from global challenges. • Comarative analysis of four countries to appreciate diverse FSC dynamics. • Uncover strengths and vulnerabilities of FSCs of developed and developing countries. • Offered strategic insights for policymakers in managing food security and disruptions. With the development of globalisation, countries such as the United Kingdom (UK) heavily rely on shipping for food imports and supplies. With the unpredictable impacts of black swan events, such as the Coronavirus disease (COVID-19) outbreak and the armed conflict between Ukraine and Russia, which are traditional food export countries, global freight supply chains could dramatically change, which significantly affects the global food supply chain (FSC) resilience, requiring new solutions to be found. Therefore, it is vital to assess a country's food importing system by sea to ensure its FSC resilience. However, it is challenging to analyse different food supply resilience levels on a national scale given the high uncertainties in the key relevant elements (e.g. food supplies and transportation) influencing FSC resilience. This paper aims to develop a new method to assess FSC resilience at a country level by pioneering the combination of the two most relevant attributes, its production-to-supply ratio and shipping transport connectivity, used to present food supply security separately in the current literature. Within this context, food production and import distance affecting the connectivity of various food supplies are selected to estimate FSC resilience in this study. The findings, including a new index framework to assess national food resilience, significantly contribute to a country's food security and the rational development of countermeasures and policies when necessary. To demonstrate the significance of the findings, the resilience of the UK FSC is first evaluated in a real case study, followed by a comparative study with Canada, Australia, Democratic Republic of the Congo (DRC) to identify the strengths and weaknesses of the FSCs of different countries. The findings of the studies can be used to monitor FSC resilience of the countries and provide rational policies for enhancing FSC resilience. [ABSTRACT FROM AUTHOR]

• Analyse the impact of climate change on road transport systems. • Develop a risk prediction tool to reduce climate impact on roads. • Conduct economic analysis of various measures to reduce climate impact on roads. • Conduct an empirical study to provide useful insights for rational risk based climate adaptation. 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 cost-effective climate adaptation measures to rationalise adaptation planning. [ABSTRACT FROM AUTHOR]

Shore power is a green technology used by the shipping industry to abate emissions from vessels berthing in ports. This paper aims to identify industry-related opinions on shore power based on a set of collected data by means of a questionnaire in China. A four-pronged approach is used for this investigation. First, a questionnaire based on more than 50 items of related literature was designed. Second, factor analysis, including exploratory factor analysis and confirmatory factor analysis, was carried out. Third, a structural equation model was used to test specified hypotheses and identify connections among varied factors, such as technology, application, etc. Finally, other related questions, such as development trends and the influence on shore power of new regulations on use of sulphur, were investigated. The results show that motivation, application, incentive, technology, and recognition all have positive influences on the promotion of shore power with 0.452, 0.398, 0.239, 0.216, and 0.194 standardised factor loadings, respectively. Meanwhile, a unified standard, subsidy/incentive, and implementation/enforcement are considered three urgent measures that can be employed to improve the uptake of shore power. Moreover, in upcoming years, digitalisation of application and payment and decarbonisation are predicted to be two major development trends in the industrial use of shore power. Three-quarters of the respondents thought that a new/lower limit of sulphur emission would boost the use of shore power. The findings from this investigation provide a decision-making tool for policymakers and the developed method can be used to promote the wide use of green technology. • Take a four-pronged method to identify industry-related opinions on shore power. • Use a structural equation model to explore connections among varied factors. • Unified standards, incentives, and enforcement are shown to be 3 urgent measures to broaden the uptake of shore power. • Digitalisation and decarbonisation are identified to be 2 major trends in the industrial use of shore power. • A lower limit of Sulphur emission would boost the use of shore power. [ABSTRACT FROM AUTHOR]

• Conduct critical analysis on climate adaptation study in transportation. • Introduce a new classification method with reference to diverse key topics. • Identify the research gaps through statistical and qualitative analysis. • Guide future research directions in transport adaptation to climate change. With the occurrence of more frequent and intense climate change events, transportation systems, including their infrastructure and operations become increasingly vulnerable. However, the existing research related to climate risks, adaptation and planning in the transport sector is still at an embryonic stage. Understanding such, this paper presents a critical review on climate risks, adaptation strategies and planning in the context of road and rail transportation systems. It aims to conduct a rigorous survey, to highlight any significant research gaps not addressed in past studies and to analyse current emerging topics to guide future directions. It critically dissects the selected papers by categorising them into several dimensions to reveal the status quo and potential challenges, including climate risk assessment, transport asset management, climate planning and policy, and adaptation of transport infrastructure to climate change. It will provide valuable references for future research and constructive insights and empirical guidance on climate adaptation, risk analysis, transport planning and other important relevant topics. [ABSTRACT FROM AUTHOR]

• Analyse the impact of climate change on rail transport systems. • Explore the uncertainties in climate risk data. • Develop new climate risk analysis methods using advanced uncertainty modelling. • Develop a risk prediction tool to reduce climate impact on rails. • Conduct a UK national wide empirical study to provide useful insights for rail network adaptation to climate change. Climate change poses critical challenges for rail infrastructure and operations. However, the systematic analysis of climate risks and the associated costs of tackling them, particularly from a quantitative perspective, is still at an embryonic phase due to the kaleidoscopic nature of climate change impacts and lack of precise climatic data. To cope with such challenges, an advanced Fuzzy Bayesian Reasoning (FBR) model is applied in this paper to understand climate threats of the railway system. This model ranks climate risks under high uncertainty in data and comprehensively evaluates these risks by taking account of infrastructure resilience and specific aspects of severity of consequence. Through conducting a nationwide survey on the British railway system, it dissects the status quo of primary climate risks. The survey implies that the top potential climate threats are heavy precipitation and floods. The primary risks caused by the climate threats are bridges collapsing and bridge foundation damage due to flooding and landslips. The findings can aid transport planners to prioritise climate risks and develop rational adaptation measures and strategies. [ABSTRACT FROM AUTHOR]

The long term impact posed by climate change risk remains unclear and is subject to diverse interpretations from different maritime stakeholders. The inter-dynamics between climate change and ports can also significantly diversify in different geographical regions. Consequently, risk and cost data used to support climate adaptation is of high uncertainty and in many occasions, real data is often unavailable and incomplete. This paper presents a risk and cost evaluation methodology that can be applied to the analysis of port climate change adaptation measures in situations where data uncertainty is high. Risk and cost criteria are used in a decision-making model for the selection of climate adaptation measures. Information produced using a fuzzy-Bayesian risk analysis approach is utilized to evaluate risk reduction outcomes from the use of adaptation measures in ports. An evidential reasoning approach is then employed to synthesize the risk reduction data as inputs to the decision-making model. The results can assist policymakers in developing efficient adaptation measures that take into account the reduction in the likelihood of risks, their possible consequences, their timeframe, and costs incurred. A technical study across 14 major container ports in Greater China is presented to demonstrate the interaction between cost and risk analysis, and to highlight the applicability of the stated methodology in practice. The paper offers a useful analytical tool for assessing climate change risks to ports and selecting the most cost-effective adaptation measures in uncertain conditions. It can also be used to compare the practitioners’ perceptions of climate risks across different geographical regions, and to evaluate improvements after implementation of the selected adaptation measures with potential budgetary constraints. The methodology, together with the illustrative cases, provides important insights on how to develop efficient climate change adaptation measures in a supply chain context to improve the sustainability of development and enhance adaptation measures for ports, port cities, intermodal transport, supply chains, and urban and regional planning in general. [ABSTRACT FROM AUTHOR]