客运通道出行行为选择分析

选择如何出行是进行出行决策的重要组成部分。而如何提高道路交通准确预测程度,实现道路交通资源合理分配、城市交通布局进行合理规划则成为一个重要的课题。文章主要对京沪两地影响客运通道出行选择的因素进行分析,并在此基础上建立MNL模型。经检验该模型精度很高,能够有效地预测京沪客运通道各交通方式的分担率。     

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在分析汕头市摩托车出行特征的基础上，探讨了摩托车交通存在的问题，指出在城市交通中其出行特性较差，提出了详细的解决策略，并对汕头市城乡一体化的公共交通服务体系规划做了一些探讨，对类似城市摩托车交通问题的解决具有借鉴作用。     

弹性需求下多类型用户拥挤收费模型

基于时间价值不同的多类型用户特性,提出了弹性需求下多类型用户的拥挤收费模型,并以一个简化的路网实例比较了多类型用户收费模型与单一类型用户收费模型的区别。简化实例分析结果表明:当费率水平较低时,单一类型用户收费模型高估了路网的流量、社会效益,当费率水平较高时,则低估了路网的流量和社会效益;同时单一类型用户收费模型的路网社会效益和利润区域对应的道路通行能力区间较宽,费率水平区间窄,而多类型用户收费模型的路网社会效益和利润区域对应的道路通行能力区间相对较窄,费率水平区间较宽。     

An exploration of the relationships between socioeconomics,land use and daily trip chain pattern among low-income residents

Daily trip chain complexity and type choices of low-income residents are examined based on activity travel diary survey data in Nanjing, China. Statistical tests reveal that non-work trip chain complexity is distinctly distinct between low-income residents and non-low-income residents. Low-income residents are inclined to make simple non-work chains. Two types of econometric models, a stereotype logit model and mixed logit model, are then developed to investigate the possible explanatory variables affecting their trip pattern. The number of stops within a chain and chain types are considered as dependent variables, while independent variables include household and personal characteristics as well as land use variables. Results show that once convenient and flexible conditions are supplied, low-income residents are more likely to make multiple activities in a trip chain. Areas with high population and employment densities are associated with complex work trip chains and more non-work activity involvement.     

A GPS-aided survey for assessing trip reporting accuracy and travel of students without telephone land lines

A geo-positioning satellite (GPS)-based survey, using a web-based prompted recall tool, was conducted on a sample of 94 students at the University of Toronto from November 2008 to April 2009. The sample included students with and without telephone land lines, allowing for a statistical comparison of demographic and travel behaviour attributes. The same subjects simultaneously completed a traditional trip reporting survey, modelled on the household travel survey in Toronto, allowing for a comparison between the travel behaviour information obtained from the GPS and that reported by the participants in the traditional survey. Students with a land line are more likely to live in houses, with parents, and to live in suburban areas than students without a land line. They also make fewer trips in total, fewer discretionary trips, more transit and auto trips and fewer active trips than students without a land line. By comparing questionnaire-based data and GPS data, we found that most participants reported in the questionnaire either the same number of GPS-based trips or fewer. On average, the GPS survey captured 1.29 more daily trips per participant than the corresponding trips reported in the questionnaire.     

钩打系统远程管理软件的研究与开发

钩计划传输打印控制系统是编组站综合自动化系统的一个重要组成部分，其主要功能是实现钩计划及相关信息在异型网络上的传输。着重分析的是钩计划传输打印控制系统远程管理软件。此软件按其实现功能主要包含系统IP地址设置和探测、逻辑端口和物理端口的映射管理、各端口独立的打印机配置、初始化参数4大模块。在此对4大功能模块进行详细的分析和说明。     

船舶医疗的相关规范要求及标准综述

为了指导船舶设计和开发,研究了船舶医疗的相关公约、规则规定、要求及标准等,归纳了船舶医疗的具体内容,分析了其关联性并重点引述了各文献的显著性细节要求。结论表明,已述的文献满足了常规船型的医疗设计需求,但对于大型的医务船和特殊船舶等,还应依其特殊性进行细节的着重考虑,并根据其特征性进行分析研究和设计。     

手机定位数据获取出行OD：现状及展望

手机定位数据可以用于获取交通信息。近年来利用这种数据获取路段速度已经成为研究热点,但在获取OD方面研究较少。通过总结手机定位获取OD方面的研究现状,分析目前研究存在的主要问题,指出未来的研究重点。     

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居民出行方式选择是一个较为复杂的非线性问题,受到的影响因素众多。提出采用支持向量机方法构建了居民出行方式选择模型,并以交叉验证意义下的分类准确率作为适应度函数,利用粒子群算法对支持向量机参数优化选择,避免参数设定的随机性,减少参数选择的工作量.通过实证研究表明,利用粒子群算法优化支持向量机的参数是可行的,支持向量机方法相对于BP神经网络,对居民出行方式预测有更高的精度.预测精度比BP神经网络提高了将近5个百分点,建模样本和测试样本的分类精度分别达到86.20%和82.31%.所构建的模型可用于居民出行方式预测,这对城市交通规划,出行需求预测具有现实指导意义.     

基于Logit模型的大连市居民通勤出行行为研究

针对大连市主城区进行通勤出行方式的意向偏好调查.选取7家企事业单位的200名驾车通勤者作为研究对象,建立以私家车、公共汽车为选择对象的二元Logit模型,研究停车收费及公交服务水平的变化对不同特性停车者的出行选择方式影响.结果表明:停车收费费率及公交服务水平对城市居民的通勤出行方式选择有显著影响.将合理的停车收费体系与提高公共交通服务水平相结合,是一种优秀的交通需求管理手段.