排水沥青混合料比表面积的分形研究

对集料的粒径分布、级配、集料总体积、空隙率、表面积等做出相关分析,给定了集料各特征值的具体求法,建立体积分维DV和表面积分维DS之间的关系,并根据级配曲线的走向,按不同分段方式进行比表面积计算对比。结果表明:不同的分段方式对于排水沥青混合料的比表面积确定有很大的影响,在进行比表面积计算时,应按各筛级进行逐级分段计算。     

Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk

The second part of the state-of-the-art focuses on the development of the founders' double streams explaining single-outcome indicators (probability of accidents and fatalities, respectively) by fixed form regression, as outlined in the Part 1. Following Page (1997, pp. 67–122, 2001) and others, we use as turning point of the evolution of both aggregate and discrete approaches the DRAG-1 model of 1984, itself based on aggregate data, which introduced four key innovations in principle applicable to both streams.     

A State-of-the-Art Review: Developments in Utility Theory,Prospect Theory and Regret Theory to Investigate Travellers' Behaviour in Situations Involving Travel Time Uncertainty

Abstract

Despite the wide use of utility theory to model travellers' behaviour, the interest in non-expected utility theories has increased due to their potential to capture more realistic behaviour. A main question raised is whether travellers are better described as utility maximizers or should be qualified differently.

This paper presents a literature review on the use of expected utility theory (EUT), prospect theory (PT) and regret theory (RT) to model travellers' behaviour. Gaps in the literature are identified and a discussion about advantages and disadvantages of each theory is presented. A case study illustrates the differences between the theories.

Under certain conditions, PT and RT restrict themselves to EUT. Their added value, however, is the possibility of capturing loss aversion, risk aversion and risk-seeking (PT) and regret aversion (RT). On the practical level, the use of EUT is well established, while contributions of PT and RT are marginal. On the theoretical level, however, RT seems to be (marginally) more suitable to model travellers' behaviour, while EUT and PT are equally suitable. This suggests that the large use of EUT is highly influenced by its very tractable framework. We do not claim the superiority of any theory, but propose to compare them through a systematic review.     

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与发达国家不同,我国正处于快速城镇化发展阶段,迫切需要在运输需求预测理论与方法上的创新.为了更科学地进行运输需求预测工作,从而对运输需求有系统精准的把握,基于"运输系统是一类开放的复杂巨系统"及"运输需求预测是一类复杂性问题"的认知,将系统工程中"从定性到定量"的综合集成方法论引入运输需求预测之中,提出基于综合集成方法论的运输需求预测方法,并给出具体执行操作流程.以浙江省城际轨道交通客流预测为例,将研究成果应用于实际的工程项目之中,验证了其有效性.实践结果表明,"从定性到定量"、"人机结合,以人为主"的运输需求预测综合集成方法能够较好地保证预测结论的准度和精度,同时也具有较强的可操作性.     

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本文旨在研究期望速度对速度—密度曲线的影响.通过引入期望速度建立了新的博弈表和相应的交通流中观模型,利用VBA和Matlab混合编程技术开发了相应的计算程序.对于一个期望速度类情况,分析了期望速度相同时不同的道路条件对应的速度—密度曲线,以及相同道路条件下,不同期望速度对应的速度—密度曲线.对于多个期望速度类的情况,研究了多个期望速度的变异系数对车流平均速度的影响,以及慢车比例对车流平均速度的影响.得出结论,驾驶员的期望速度差异是影响车流平均速度的主要因素之一.当密度较小时,交通流处于个体流模式,此时交通流平均速度主要由期望速度差异决定;当密度较大时,交通流处于集体流模式,此时交通流平均速度主要由密度决定.     

基于博弈论的多利益主体绿色供应链两阶段博弈分析

本文主要研究绿色供应链多利益主体的博弈行为和决策选择问题。首先提出了包含制造企业、政府、分销商与消费者的绿色供应链多方博弈分析框架。其次,通过博弈理论合理构建了两阶段博弈,第一阶段针对制造企业、政府、消费者三者进行博弈分析,第二阶段基于委托代理机制针对制造企业与分销商进行博弈分析。最后从理论上分析绿色供应链中各方优化协调的效率,重点分析在政府参与下,不同博弈策略对绿色供应链管理的影响。     

在居民收入翻番的同时如何控制物价大幅上涨

本文从调整国民收入初次分配、改善居民内部分配结构、驱动“三驾马车”均衡发展等三个方面探讨了在居民收入翻番的同时,如何控制物价大幅上涨。提出政府和企业应让利,使居民收入与国民经济增长速度基本同步;控制高收入群体未来8年的收入增长幅度,以免低收入群体收入“被增长;合理提高消费增长速度,适度放缓投资及出口增长速度,使三大需求的增长与供给的增长相协调,既可以保持国民经济的健康快速增长,又可以抑制价格总水平过大幅度的上涨。     

快速公交系统通行能力研究

通行能力分析是快速公交系统规划、设计和优化的基础。基于GI/G/1排队论模型和车站有效停靠泊位数构建了快速公交系统通行能力计算方法,其参数设置涉及影响快速公交系统通行能力的各种因素。通过对北京、广州、厦门、郑州等多个中国城市快速公交系统运营状况的调查分析,对相关参数进行了标定,以使其反映中国各地快速公交系统运营实际。最后以广州、厦门、郑州三市的快速公交系统为例,对上述方法的应用进行说明。     

《北京交通发展纲要（2004-2020）》实施情况及评估

在北京市进入社会经济现代化、城市化和机动化高速发展时期,交通形势十分严峻的背景下,北京市颁布了《北京交通发展纲要（2004-2020）》（以下简称《纲要》）。对“纲要》颁布以来北京交通取得的成就进行评估,在此基础上总结北京交通发展的成功经验并反思发展过程中存在的问题,为《纲要》的进一步修编提供参考。     

Workplace travel plans: can they be evaluated effectively by experts?

Employers are regularly involved in transport planning and characteristic workplace-oriented tools include: (1) travel plans for building projects, (2) mandatory travel plans, (3) subsidies to employers with an advanced travel plan and (4) best travel plan awards. In all cases, experts judge the level of car use. We argue that decision-makers might benefit from a multiple regression-based benchmark modelling tool that estimates the expected share of the car. In this paper, we estimate the share of car users in the commuting modal split at workplaces. However, since the amount of information available to experts differs, we gradually add information to the model to measure the impact of data availability. Without historic data on modal split, the current share can only be predicted moderately well, i.e. within a 20% range. Besides adding the past, results improve by using homogenous and regional subsamples. Nevertheless, quantitative analyses do not make expert knowledge obsolete.