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.     

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.     

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.     

区域船舶产业核心竞争力研究

基于核心竞争力理论,阐述了区域船舶产业核心竞争力的界定、特征、识别标准和方法,并以镇江地区为例,对其船舶产业核心竞争力进行了识别,为培育和提升镇江地区船舶产业核心竞争力提出了建议措施。     

基于ATP协议的恒温液态食品罐车热工性能测试研究

针对冷链物流系统中恒温液态食品罐车的热工性能测试实验的现状进行研究分析,指出了其中存在的问题。着重研究了液态食品罐车的热工性能测试内容,包括综合测控系统和外围硬件设备的设计。实际应用效果显示,构建的系统能够满足ATP标准的要求。     

快艇总体技术专利研究

通过对中国国家知识产权局（SIPO）、欧洲专利局（EPO）、美国专利商标局（USPTO）专利数据库中快艇总体技术专利进行定量分析,针对快艇、水翼艇、滑行艇等领域的最新专利,阐述了专利申请的热点和发展趋势。根据统计数据从专利的角度分析了快艇总体技术的进展和前景。     

电子战仿真异构数据库数据集成应用研究

在分析异构数据源集成的基本模式的基础上,提出基于数据仓库技术实现电子战仿真异构数据库数据集成的解决方案,规划系统数据集成应用模式,设计电子战仿真试验数据仓库模型、数据抽取和转换的流程图,并分析数据转换规则。     

基于模糊综合评定的区域雷达组网作战效能研究

为有效分析区域级雷达组网的作战效能,给防空情报系统提供辅助决策,文章运用模糊综合评定的方法,提出了区域级雷达组网作战效能的评价指标体系,建立了三级模糊评判模型,并利用层次分析法确定了各因素的权重,给出了区域级雷达组网作战效能的量化评判方法。最后,就某一区域雷达组网的作战效能进行了评估,给出了参考值。     

基于Bayes融合的装备平均修复时间评估方法

建立基于Bayes理论的小子样评估模型,在方差未知时,这些模型能对装备的平均修复时间（MTTR）进行评估,具有较好的评估特性,对减少试验次数,缩短试验时间,减少试验费用等都具有重要的价值。