Formulating cargo inventory costs for liner shipping network design

This study examines how to incorporate the inventory costs of containerized cargoes into existing liner service planning models such that the designed networks could be improved while not causing extra modeling/computational burden. Two approaches are compared: (i) not considering the inventory costs at all and (ii) incorporating the inventory costs associated with onboard time and those related to transshipment by assuming a fixed connection time. The two models are compared with the ideal model capturing the exact inventory costs on a route choice problem and a capacity planning problem based on extensive randomly generated and practical numerical experiments. The results show that: first, ignoring the inventory costs in service planning models may lead to network design with much higher costs (poor network design decisions); second, in service planning models assuming weekly frequency, the inventory costs associated with onboard time could be formulated exactly, and those related to the connection time of weekly services could be approximated by assuming fixed connection time of 3.5 days for ports with 1 day’s minimum connection time and 4.5 days for ports with 2 days’ minimum connection time.     

组合型水泥粉煤灰碎石桩(CFG桩)复合地基在深厚软基处理中的应用

在深厚软土地基(fak≤100 kPa)上建造储罐等建筑物,承载力要求高、不均匀沉降变形要求严,若采用单一CFG桩复合地基加固,可能导致桩距过小或桩长太长,需要采用组合型复合地基,CFG桩+振冲碎石桩复合地基是组合型复合地基的一种。根据CFG桩+碎石桩组合型复合地基的加固机理,分析了其受力特性以及CFG桩和碎石桩的作用,研究表明CFG桩对提高地基承载力和减小沉降起控制作用。基于优化理论,建立了组合复合地基的优化设计方法。通过工程实例讨论了组合复合地基的优化设计方法,结果表明:复合地基的承载力、沉降量和经济效益均满足工程要求。     

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.     

The Bid-rent Land Use Model of the simple,efficient, elegant,and effective model of land use and transportation

Integrated land use/transportation forecasting models add significant policy and infrastructure alternatives analysis capabilities to the urban planning process. The financial, time, and staff requirements to develop these models has put them beyond the reach of most small to medium sized urban areas. This paper presents the land use allocation submodel of the Simple, Efficient, Elegant, and Effective model of land use and transportation (SE³M), an integrated land use and transportation forecasting model founded upon Economic Base Theory and Bid-rent Theory. The Bid-rent Land Use Model (BLUM) is an agent based, spatial competition model utilizing unique utility curves for willingness to pay and incomes for budget constrained abilities to pay for each agent. The model structure, estimation, calibration, implementation, and validation are presented. With a single year of land use data available, the validation approach used the Kappa Index of Agreement to spatially check model outputs against base year control data while controlling for agreement by chance. The U.S. territory of Guam is used as the case study/proof of concept implementation for this model framework. Once calibrated, BLUM could solve the spatial competition problem on Guam in less than two minutes of processing time with over 90% accuracy.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

Impact of regional population density on walking behavior

Land use can influence walking (measured by the number of steps) and so the health of people. This paper presents the result of empirical research on the impact of regional population densities (inhabitants per inhabitable area) on the number of steps (all steps, both outdoors and indoors). With data collected from almost 11,000 respondents in 148 Japanese regions, we estimate polynomial regression models, the total number of steps being the dependent variable and densities being the main independent variable. Regional population density significantly affects the number of steps after controlling for individual and household attributes. The estimated population density that maximizes the number of steps is around 11,000?persons/km². Increasing densities, up to levels of around 11,000?inhabitants/km², could increase walking and consequently the health of inhabitants. The population density elasticity of the number of steps is 0.046–0.049 in a simple log linear regression model without a peak.     

PCTC船货舱通风系统设计

PCTC船货舱通风系统的设计是整个PCTC船设计的一个重要组成部分,关系到总体、结构、舾装、轮机和电气等多个专业的设计。近几年来,PCTC船的货舱通风系统的设计也在不断的变化、改进和优化中,本人基于本所目前设计开发的6600UNITS PCTC船型,对这些年来PCTC船货舱通风系统的设计做了一个总结和分析,供相关设计人员参考。     

导管螺旋桨水动力学性能的影响因素

为了获取导管螺旋桨水动力性能的主要影响因素,指导导管螺旋桨的优化设计,采用计算流体力学CFD对Ka4-7010+19A导管螺旋桨进行水动力性能研究,分析不同导管长度、导管攻角、螺旋桨纵倾角及多导管组对其水动力特性的影响。结果表明：减少导管长度将使推力系数及扭矩系数同时增大,而敞水效率下降;适当增加导管长度可以略微提高其敞水性能;减小导管攻角在一定进速范围内使推力系数和扭矩系数同时大幅度增加,增加导管攻角将导致推力系数和扭矩系数同时下降;当螺旋桨纵倾角保持在10°以内时,不会对敞水性能产生太大影响。对于多导管螺旋桨而言,前置、后置及不同附属导管直径大小都对敞水性能有很大影响,其中后置大导管组螺旋桨能明显降低螺旋桨扭矩系数,并且能在低进速范围内提升敞水效率。研究成果可支撑导管螺旋桨的优化设计。     

一种新型尾滑道式船载小艇收放系统可行性研究

作为一种新型的尾滑道式船载小艇收放系统,在回收小艇时,小艇需要以一定的航速冲上尾滑道。回收能否成功除了受制于驾驶员操作水平等主观因素,还与滑道的涉水深度、小艇与母船尾滑道的运动响应等客观条件有关。本文利用切片理论计算了小艇与母船尾滑道的运动响应,并对3级及4级海况下回收小艇的可行性进行了分析。     

近岸深水联排灌注桩施工工艺优化

采用传统的冲孔灌注桩施工工艺进行海上灌注桩施工时,往往会面临适用条件限制、环境污染、施工成本增加等问题。针对三亚凤凰岛项目海上冲孔灌注桩施工特点,介绍通过优化钢平台结构形式及布局设计、泥浆循环系统优化设计、结构稳定性计算、"四新设备"创新应用等措施,有效降低施工成本、提高施工效率、减少环境污染、提高施工质量。结果表明采取的工艺优化和平台改进措施效果良好、实用性强。