再生剂对就地热再生沥青混合料路用性能影响评价

通过分析铣刨的RAP料中旧沥青和级配的组成情况,采用再生剂对RAP料掺量为90％的热再生混合料进行配合比设计研究.通过室内试验,对再生沥青混合料进行路用性能的评价,试验结果表明,再生剂在改善就地热再生沥青混合料性能上效果显著,能够很好地改善再生混合料水稳定性和高温稳定性.同时,就地热再生技术不仅解决了“黑色污染”带来的环境问题,还可以大量利用废旧材料节约成本,符合节约能源型和可持续发展的可行之法.     

基于RST的事故黑点成因实例分析

本文结合实例,首先,对交通事故的主要形态进行分析,在此基础上,运用巴雷特曲线对事故主要形态进行事故因素分析,得到交通事故黑点的主要影响因素;然后,对交通事故黑点的主要影响因素简单加权,得到一个粗略的因素影响度排序;最后,运用粗糙集算法再次对影响因素的重要度进行分析,确定事故因素及其重要程度排序。     

Variability in sound power levels: Implications for static and dynamic traffic models

Classically, one mean vehicle representative of each category is used by both static and dynamic traffic noise prediction models. The spectrum associated with this mean vehicle is determined from a linear statistical regression analysis based on measurement campaigns on a track or in situ. However, the variability of individual vehicle emissions can influence predictions and hinder comparison between static and dynamic models. In order to estimate the induced bias, statistical analysis of the distributions of sound power levels emitted by the individual passage of vehicles during 82 measurement campaigns was carried out. The results show that 92% of the residual regression distributions are Gaussian and that standard deviations can reach 3.6 dBA. The value of the proposed correction term for this case study could reach 1.4 dBA for light vehicles and 1.2 dBA for heavy vehicles. This analysis also shows that the variability in sound power levels and thus the corresponding corrections are higher at the lowest speeds that correspond to urban driving conditions.     

Effects of a hovering unmanned aerial vehicle on urban soundscapes perception

Several industry leaders and governmental agencies are currently investigating the use of Unmanned Aerial Vehicles (UAVs), or ‘drones’ as commonly known, for an ever-growing number of applications from blue light services to parcel delivery. For the specific case of the delivery sector, drones can alleviate road space usage and also lead to reductions in CO₂ and air pollution emissions, compared to traditional diesel-powered vehicles. However, due to their unconventional acoustic characteristics and operational manoeuvres, it is uncertain how communities will respond to drone operations. Noise has been suggested as a major barrier to public acceptance of drone operations in urban areas. In this paper, a series of audio-visual scenarios were created to investigate the effects of drone noise on the reported loudness, annoyance and pleasantness of seven different types of urban soundscapes. In soundscapes highly impacted by road traffic noise, the presence of drone noise lead to small changes in the perceived loudness, annoyance and pleasantness. In soundscapes with reduced road traffic noise, the participants reported a significantly higher perceived loudness and annoyance and a lower pleasantness with the presence of the same drone noise. For instance, the reported annoyance increased from 2.3 ± 0.8 (without drone noise) to 6.8 ± 0.3 (with drone noise), in an 11-point scale (0-not at all, 10-extremely). Based on these results, the concentration of drone operations along flight paths through busy roads might aid in the mitigation of the overall community noise impact caused by drones.     

中欧班列乌鲁木齐集结中心规划方案研究

为了解决中欧班列存在的主要问题,保障中欧班列长期健康运行,通过分析中欧班列及既有集结中心存在的问题,结合市场需求,确定中欧班列乌鲁木齐集结中心的功能定位。依托中欧班列发展规划,利用增长率法进行运量预测。从枢纽规划布局、铁路场站功能定位对乌鲁木齐枢纽内的4个站点进行综合比较分析,推荐出合理的选址。并结合功能定位、班列集装箱集结种类进行功能分区和布局规划,形成集铁路区、整车集结仓储、海关监管及综合服务于一体的班列集结中心。研究了贯通式布置方案及尽头式布置方案,通过综合比选推荐运输组织灵活、效率较高的贯通式布置方案。     

Traffic accident risk perception among drivers: a latent variable approach

ABSTRACT

Governments require decision tools to deal with road traffic accidents, a pandemic resulting in millions of deaths around the world. Evidence shows that human factors are one of the major causes of road accidents, and there is much interest in identifying variables that may have an impact on drivers’ perception of risk. To this aim, we design a stated choice experiment with eight hypothetical driving scenarios considering attributes that have been strongly associated with increased accident risks: (i) driving speed, (ii) driving the wrong way in a one-way street, (iii) overtaking on a bend, and (iv) driving under the influence of alcohol or drugs. Data from a sample of survey respondents are used to estimate a hybrid discrete choice model incorporating two latent variables, Driver Concentration and Safe Driving. Our results may contribute to the design of public policies geared to prevent accidents by encouraging safer driving behaviour.     

“一带一路”中老泰铁路运输风险评价及保费研究

随着“一带一路”设施联通建设的不断推进,作为泛亚铁路中线工程的中老泰铁路也是其中重要的一部分。为研究一带一路中老泰铁路货物运输风险以及相关保费计算,本文首先采用层次分析法得到铁路货物运输过程中存在的政治因素、气候因素、运维因素和自然力因素的风险以及不同风险因素组合的权重;其次基于N-K模型对风险进行耦合,并且结合权重计算风险耦合值,根据风险耦合值划分风险区间,不同风险区间对应的附加费率不同,最后利用保费计算公式可以得到保险费用。本文末以中老泰铁路运输水果为例,基于不同风险因素的耦合得到15个风险耦合值,并计算保费,得出不同风险下的保费结果。     

Achieving political acceptability for new transport infrastructure in congested urban regions

This paper analyzes the efficiency and political acceptability of road pricing and infrastructure policies targeted at relieving urban congestion. It combines a stylized transport model of an urban road network with a model of the political process that incorporates interactions between voters, citizen interest groups and politicians to explore the possibilities to reach political acceptability for efficient transport policies. In a numerical illustration, the paper compares a set of pricing and investment policies in terms of efficiency and acceptability. The illustration shows how conflicting interests can lead to non-efficient policies being chosen.     

北京局集团公司“三港三区域三品类”货运增量对策

在“公转铁”机遇带动下,北京局集团公司将货运增量重点由煤炭转向“三港三品类”,进行运力资源倾斜。分析“三港三区域三品类”货运量、装车卸车,从运输价格、运距结构、运力匹配、装卸车组织、环保政策、路企双方设备能力等方面分析货运增量影响因素,提出“三港三区域三品类”货运增量对策,即:增强货运市场营销策略积极参与市场竞争、加强运输组织释放“三港、三区域”运能、调整作业方案实现效率提升、依托“公转铁”政策支持优化运输结构、落实专用线扩能改造助力货运上量,提升“三港三区域三品类”市场竞争力,满足货运增量需求,实现北京局集团公司货运量持续增长。     

How to road price in a world with electric vehicles and government budget constraints

In this paper we examine what characterizes second-best road prices targeting external costs from driving electric (EV) and conventional (ICEV) vehicles when there are distortionary labor taxes and binding government budget constraints. Further, we examine how this second-best pricing fits with government set goals of reducing CO₂ emissions. The paper further develops an analytical framework for assessing first- and second-best road prices on vehicle kilometers, extending it to include EVs and externalities that vary geographically and by time of day. We find that optimal road prices largely vary with external cost, but are also significantly affected by the interactions with the rest of the fiscal system. Not surprisingly, the highest road prices should be for ICEVs in large cities during peak hours due to high external costs. More surprisingly, we find that the road price for ICEVs in rural areas should be lower than that for EVs due to large fiscal interaction effects. These road prices give large welfare gains, but they lead to no reduction in carbon emissions when applying the currently recommended social cost of carbon.