Risk assessment framework for exposure of cargo and ports to natural hazards and climate extremes

There is an increase in risks and catastrophic losses in maritime transport including ports and cargo. Significant losses have been associated with large scale natural hazards, such as earthquakes, tsunami, cyclones, and other extreme weather events. This paper identifies the main gaps in understanding maritime risks in transportation research. The gaps are attributed to insufficient empirical work available from the maritime transport and logistics research community to guide multi-risk and natural hazards impact assessment on seaport and cargo. In addition, disaster studies communities have barely made adequate efforts to understand and assess port and cargo risks arising from multi-hazards and disaster events. This paper examines existing conceptual frameworks concerning exposure and risk assessments of natural catastrophe’s impacts. Furthermore, the paper identifies trends and gaps in risk assessment frameworks in the field of disaster studies that can be beneficial for maritime risk research. The authors propose a new risk assessment framework that can guide future research and multi-hazard risk assessment processes at different scales of maritime risks.     

Genetics of traffic assignment models for strategic transport planning

This paper presents a review and classification of traffic assignment models for strategic transport planning purposes by using concepts analogous to genetics in biology. Traffic assignment models share the same theoretical framework (DNA), but differ in capability (genes). We argue that all traffic assignment models can be described by three genes. The first gene determines the spatial capability (unrestricted, capacity restrained, capacity constrained, and capacity and storage constrained) described by four spatial assumptions (shape of the fundamental diagram, capacity constraints, storage constraints, and turn flow restrictions). The second gene determines the temporal capability (static, semi-dynamic, and dynamic) described by three temporal assumptions (wave speeds, vehicle propagation speeds, and residual traffic transfer). The third gene determines the behavioural capability (all-or-nothing, one shot, and equilibrium) described by two behavioural assumptions (decision-making and travel time consideration). This classification provides a deeper understanding of the often implicit assumptions made in traffic assignment models described in the literature. It further allows for comparing different models in terms of functionality, and paves the way for developing novel traffic assignment models.     

Simulating ad-hoc demand-responsive transportation: a comparison of three approaches

Transport models are used to evaluate new infrastructure and public transport services, varied levels of demand, and new ideas for demand management. Exploring these proposals virtually is easier than implementation and testing in situ. However, existing models are based around traditional forms of transportation. As part of a feature analysis using a case study approach, three different simulation packages (a simple custom-developed package, traffic microsimulation, and agent-based simulation) are used to develop and demonstrate simulations of demand-responsive transportation (DRT) and analyze the advantages and disadvantages of each simulation approach for evaluating DRT. While the simulations display some relational replication (meaning they produce similar relational patterns with respect to certain variables), they do not show distributional replication (that is, the value of the results is not statistically similar), meaning that under- or over-estimation of predicted travel could occur. Recommendations for the application of each modeling approach are made.     

Intermodal transport in freight distribution: a literature review

There has been significant growth in research on intermodal transport in freight distribution since the 1990s. Differentiating itself from previously published literature reviews, this paper evaluates the current state of this research using Systematic Literature Review methodology. The complementary aims are: (a) to identify the research lines developed and to propose a criterion for classifying the literature, and (b) to discuss the empirical evidence that identifies existing interrelationships. The analysis has enabled three main lines of research to be identified. The first research line, basic principles of intermodal transport, groups together works related to the definition of intermodal transport and the results obtained using this transportation system. The second, improvements to the way that intermodal transport systems work, frames elements and variables that impact intermodal transport systems’ logistics efficiency, such as quality of service, information and communication systems, and freight planning and linkages among system operators to provide an adequate service. Finally, the third line, intermodal transport system modelling, identifies the main variables used to optimise these transport systems, the different focuses and approaches used in modelling, and the advantages and disadvantages of each focus. These research lines take in more specific sublines that incorporate articles that develop related research questions. Lastly, the discussion of the content of each of these research sublines enables us to identify gaps in the literature and comment on directions for future research.     

Factors influencing travel mode choice among families with young children (aged 0–4): a review of the literature

Life events, such as the birth of a child, disrupt habitual travel behaviour and provide a valuable opportunity to influence the adoption of sustainable transport practices. However, in order for sustainable travel practices to be adopted, an understanding is required of the factors that influence travel mode choice among families with young children. Research in this field is particularly timely given many in the millennial generation, a comparably large cohort, are approaching this life stage. This comprehensive literature review develops a framework of factors influencing travel mode choice among families with young children. The findings reveal a multitude of factors influence decisions about mode choice, and, in particular, encourage travel by car, when travelling with young children. The paper concludes with an agenda for future research about travel among families with young children, a largely overlooked group of transport users.     

Environmental impacts of public transport systems using real-time control method

Public Transport (PT) systems rely more and more on online information extracted from both operator’s intelligent equipment and user’s smartphone applications. This allows for a better fit between supply and demand of the multimodal PT system, especially through the use of PT real-time control actions/tactics. In doing so there is also an opportunity to consider environmental-related issues to approach energy saving and reduced pollution. This study investigates and analyses the benefits of using real-time PT operational tactics in reducing the undesirable environmental impacts. A tactic-based control (TBC) optimization model is used to minimize total passenger travel time and maximize direct transfers (without waiting). The model consists of a control policy built upon a combination of three tactics: holding, skip-stops, and boarding limit. The environmental-related measure is the global warming potential (GWP) using the life cycle assessment technique. The methodology developed is applied to a real life case study in Auckland, New Zealand. Results show that TBC could reduce the GWP by means of reduction of total passenger travel times and vehicle travel cycle time. That is, the TBC model results in a 5.6% reduction in total GWP per day compared with an existing no-tactic scenario. This study supports the use of real-time control actions to maintain a reliable PT service, reducing greenhouse gas emissions and subsequently moving towards greener PT systems.     

考虑冰、浪等复杂载荷工况的半潜式平台应力与运动响应特征

半潜平台在极地深水海域应用广泛,经常面对冰、浪等复杂载荷。本文从应力时程和运动时程两方面分析了半潜平台在波浪载荷,海冰载荷以及冰-浪联合载荷作用下的响应特征。结果表明,虽然海冰载荷的存在具有一定程度的抑波作用,平台的震荡得到缓解,但是冰-浪联合载荷会导致平台关键节点部位所受应力幅值大幅增加,并超过海冰和波浪单独作用产生的应力之和,对半潜平台的结构安全造成较大威胁。因此在研究、设计极地海域半潜平台时应同时考虑冰、浪对平台的影响。     

国外海上补给关键技术的发展

海上补给是指利用各种补给装备及技术在海上对舰船实施物资补充、人员车辆换乘的一种海上作业活动,是海军中远海作战的主要物资保障及转运方式,相关技术的研制及发展历来受到各国重视。本文介绍了国外海军海上补给技术的最新进展,重点针对横向补给、靠帮补给及车辆转驳等关键领域,分析了其背景及现状,梳理了技术研制情况,总结了未来发展趋势及各自关键技术。分析认为,多种新技术应用扩大了物资及装备海上转运的适用范围,提高了输转效率及作业安全性,并使海上补给技术发展呈现出重型化、快速化、智能化的趋势。     

波浪动力对开敞淤泥质海岸深水航道边坡稳定性的影响

开敞淤泥质海岸深水航道边坡的稳定性关系到航道的基建及维护费用,是航道工程设计中最重要的问题之一。以连云港港徐圩港区10万吨级航道为研究对象,采用在连云港海域应用较为成熟的波浪数学模型推算的波要素成果,研究中浪、大浪对徐圩10万吨级航道边坡稳定性的影响,并利用边坡实测地形资料进行分析。结果表明,从波浪动力的角度来看,徐圩10万吨级航道设计边坡的坡度取值是合理的,本海域的波浪动力不会对航道边坡的稳定性造成不利影响。     

海洋软土修正剑桥模型在海堤工程的应用

通过对海洋软土进行一系列的室内物理力学试验及静三轴试验,拟合了海洋软土平均应力和广义剪应力值,认为海洋软土的状态线呈双曲线形,并将修正的应力罗德角考虑在模型之中,进一步改进剑桥模型理论,使其更加适应海洋软土的静力学特性。实践证明,海洋软土修正剑桥模型能有效模拟海洋软土的应力应变特性,表现为海洋软土材料的非线性特征以及塑性流动的特征。采用海洋软土修正剑桥模型对以海洋软土为基础的海堤的地基沉降进行数值分析,计算结果验证了海洋软土修正剑桥模型的适用性。