Transit network design with allocation of green vehicles: A genetic algorithm approach

The use of fossil fuels in transportation generates harmful emissions that accounts for nearly half of the total pollutants in urban areas. Dealing with this issue, local authorities are dedicating specific efforts to seize the opportunity offered by new fuels and technological innovations in achieving a cleaner urban mobility. In fact, authorities are improving environmental performances of their public transport fleet by procuring cleaner vehicles, usually called low and zero emission vehicles (LEV and ZEV, respectively). Nevertheless there seems to be a lack of methodologies for supporting stakeholders in decisions related to the introduction of green vehicles, whose allocation should be performed since the network design process in order to optimize their available green capacity.In this paper, the problem of clean vehicle allocation in an existing public fleet is faced by introducing a method for solving the transit network design problem in a multimodal, demand elastic urban context dealing with the impacts deriving from transportation emissions.The solving procedure consists of a set of heuristics which includes a routine for route generation and a genetic algorithm for finding a sub-optimal set of routes with the associated frequencies.     

利用地下空间助力发展绿色建筑与绿色城市

当今世界,绿色发展已经成为一个重要趋势,绿色发展理念更是指导我国“十三五”规划的重要理念之一。建设城市地下空间是转变城市发展方式、治理“城市病”并建设绿色城市的主要着力点。首先,说明绿色建筑与绿色城市的概念,以及二者的关系。重点从节约土地、利用地热能、节水、绿色城市基础设施（包括绿色客运城市交通和城际交通,未来城市货运交通,绿色城市污水、雨洪蓄排系统,绿色城市垃圾集运和处理系统,智慧地下综合管廊,城市智慧行车系统）等方面,并结合国内外典型案例分析说明利用地下空间发展绿色建筑和绿色城市的理念、方法、构想。最后,结合实例强调地下空间开发规划的重要性、规划科学的重要性、开发与规划中的问题及规划的具体要求。     

Asymmetry in transport fuel demand: Evidence from household level data

Models for gasoline demand for transportation activities generally assume that demand is perfectly reversible with respect to gasoline price (and income). The small literature which relaxes the reversibility assumption in gasoline demand argues technological fixation leads to this asymmetry and utilizes aggregate time-series model to find evidence in favour of asymmetry. In this research it is suggested that there could also be behavioural factors behind this asymmetric response, possibly due to the loss aversion nature of human beings as described in the prospect theory. For the first time, household level data was used to understand asymmetry in gasoline demand in response to changes in gasoline price and income. There was statistical evidence that gasoline price and income both can induce asymmetric changes in gasoline demand among households. Specifically, elasticity with respect to rising prices and falling income is larger than the elasticity with respect to falling prices and rising income respectively, which is consistent with loss aversion in gasoline purchase behaviour. There was also some evidence of heterogeneity in the asymmetric responses between urban and rural households. The results have implications for transport-related energy tax policies or subsidies, while the method can be applied directly for non-energy goods as well.     

长江三角洲城际轨道交通的发展

长江三角洲地区经济发达,人员流动频繁,尽管其交通网络比较发达,但仍然与经济的快速增长不适应。因此,迫切需要加快建设以开行高密度公交化旅客列车为特征的新型城际轨道交通,从而建立现代化的综合交通体系,发挥区位优势,建立资源节约型、环境友好型社会。要坚持与区域总体规划密切配合、合理选择线网等原则,遵循长江三角洲城际轨道交通线网规划的发展目标,加快建设步伐,构建长江三角洲地区综合交通运输体系。     

车路协同下考虑绿波协调的公交优先控制

在绿波协调控制交叉口群中,为分析公交优先控制对后续交叉口群的扰动,基于车流运行时间偏移分布,以概率期望描述了交叉口各相位绿时左端和右端时长变化引起的后续交叉口群在绿波带内、绿波带间的延误变化;采用组合优化的方法,以交叉口群在车速引导下的公交通行效益优化为上层模型,以交叉口群在公交优先控制下的延误优化为下层模型,对公交引导车速和信号控制参数进行协同优化.通过算例分析表明,公交优先控制模型有效提升了交叉口整体通行效益,最大化减小了对周边交叉口群的不利影响.     

交通基本建设项目竣工决算审查

工程竣工决算审查必须本着实事求是和坚持原则的精神。结合国家的方针、政策、有关规定及项目立项批复文件精神,使竣工决算全面反映建设项目从筹建到竣工投产全过程中各项资金的实际使用情况及设计概算执行情况,对合理确定工程投资、正确核定新增资产价值、总结分析建设过程中的经验教训、提高工程造价管理水平、积累技术经济资料提供资料和经验。     

Sub‐optimal decision‐making and the transportation problem

A modification to the transportation problem is outlined that aims to improve the quality of predictions of trip matrices, and at the same time, allow some behavioural and economic insights. A framework is suggested within which this modification may be made and a suitable statistic and iterative process are described. A simple example demonstrates the validity of the modification and suggests some areas of difficulty with the approach.     

Breakthrough innovations in intermodal freight transport

Breakthrough innovations, whether technological, organizational or both, are a necessity if the market share of intermodal freight transport is to expand. The main growth potential lies in the markets for flows over short distances, for perishable and high-value commodities, for small consignments, and for flows that demand speed, reliability and flexibility. It will take radical innovations to produce a breakthrough in the modal split and allow these new markets to be conquered. This special issue is based on papers presented at an international conference on freight transport automation and multimodality, held in Delft in May 2002, that are illustrative of the direction of breakthrough research and development (R&D) aimed at increasing the market share for intermodal transport.     

An analysis of trends in passenger and freight transport energy consumption in India

This primary objective of this paper is to examine the causes for the change in energy consumption in the transport sector in India. The pattern of energy consumption and their causes for change are benchmarked against select countries. A mathematical model that decomposes changes in energy consumption to various factors has been used. The changes in the energy consumption are attributed to growth in transport volume, structural change or modal shift, and energy intensity. The analysis is conducted for passenger and freight transport separately. Results indicate that the growth in transport volume has been the main cause for increase in energy consumption for both passenger and freight transport in India despite the decline in energy intensity of various transport modes. Though not surprising for a growing economy like India, this poses a challenge for the future. Currently, India is a low carbon economy.     

A dynamic model for marginal cost pricing of port infrastructures

ABSTRACT

A dynamic model for marginal cost pricing of port infrastructures links costs to system performance by combining a power-law function with time-dependent queueing analysis. Additionally, the model incorporates the marginal cost of capacity, including the effects of economies of scale. This allows the calculation of the marginal cost price under a dynamic framework. The model accounts for nonlinear behaviour of port demand, which is sensitive to price and service levels. The effects over time of cost and service levels on the port’s operational performance are quantified. The proposed model allows determining the optimal timing for capacity investment. The model is a starting point for the application of marginal cost pricing to ports. However, for practical application of such pricing method it is necessary to apply a system’s approach, as productivity and costs must be assessed at the terminal’s component level. This should allow the derivation of a marginal cost function at the terminal’s component level.