The relationship between coastal-zone management and off-shore economic development

‘Coastal-zone management is ideally founded on a consideration of the full range of bio-physical and socio-economic elements integrated through problem perception, decision making and remedial strategy planning. Specification of the framework indicates a variety of potential links between the coastal zone and continental shelf development.’     

An assessment of advanced transport telematics evaluation procedures

This paper reviews and critically assesses procedures which have been adopted to evaluate Advanced Transport Telematics (ATT) projects. The importance of such a review at this juncture stems from the changing position of ATT in transport planning. ATT is no longer simply a field for experimentation, where technical feasibility and user acceptance are dominant concerns. Rather it is a potential mainstream contributor to the functioning of road transport systems. For this reason, ATT project appraisal needs to be developed to the same form, level of sophistication and consistency as the appraisal of conventional transport infrastructure investment. Based on the review set out here, we argue that appropriate methods have not yet been established which, in turn, poses a number of challenging questions, since current socio‐economic evaluation procedures are not directly suited to either measuring or evaluating many of the impacts which ATT schemes are implemented to achieve.     

Simulation-based dynamic adjustments of prices and subsidies for transportation PPP projects based on stakeholders’ satisfaction

Transportation - Public–private partnership (PPP) has been well acknowledged by many as an innovative approach to the procurement of public projects. In their long-term concession periods,...     

基于手机传感器数据的交通出行调查实证评估

应用手机传感器与调查问卷, 同步采集了校园内高校学生2周的真实出行轨迹; 考虑了真实出行环境下的手机传感器数据特征, 结合高斯滤波预处理数据, 根据轨迹点的时空聚类特性, 用时空聚类算法识别了出行端点和出行时间, 结合轨迹点速度、加速度特征, 利用支持向量机识别了出行方式; 将手机传感器数据与调查问卷、查核线数据对比, 分析了手机传感器数据出行特征识别的准确程度, 验证了出行特征的提取效果。分析结果表明: 手机传感器与问卷调查识别出行链的成功匹配比例为81.66%, 说明手机传感器数据可有效记录出行轨迹; 时空聚类算法参数中核心点空间半径为26.92 m, 最小样本点为129, 时间约束为129 s时, 出行端点识别准确率为93.02%, 出行时间识别准确率为90.84%, 说明手机传感器识别出行端点和出行时间的效果较好; 当支持向量机设置类型为经典支持向量机, 核函数为径向基函数, 惩罚系数为0.797, 核参数为2.260时, 出行方式识别准确率为89.86%, 即利用手机传感器能够有效识别出行方式。可见, 手机传感器数据识别结果合理, 能为手机传感器数据应用于实际出行调查做支撑。      

Low-aspect ratio appendages for wind-assisted ships

Journal of Marine Science and Technology - Wind propulsion for commercial ships has been identified as a key component in the energy transition for the maritime industry. The sailing hybrid ship...     

A fractional perspective to the modelling of Lisbon’s public transportation network

Transportation - Urban growth originates multiscale spatial patterns, such as those of transportation networks. Here, the public transportation network (PTN) of the city of Lisbon is analysed from...     

城市轨道交通票卡凭证分类及适用性分析

城市轨道交通票卡凭证体系合理的规划和技术选型对于吸引客流、提高运营效益具有重要作用。分析了票卡凭证的类别及特征,提出了具有普适性、可拓展性的票卡凭证分类框架。阐述了各类票卡凭证的识别技术原理,对比分析了各类票卡凭证的技术经济特征,分析了各类别票卡凭证的适用性、发展趋势和应用前景。     

基于资源利用率的路网容量研究

研究了剩余时空资源,通过道路的基本通行能力和交叉口的饱和流量来计算路网容量,并引入了时空资源利用率的概念.在保证道路畅通情况下提出了计算路网的最大服务交通量即路网容量的模型.