世博会期间上海交通环境承载力调控策略

世博会参观客流规模庞大,且世博园区周边道路设施和自然环境的容量有限,游客自由选择交通模式的结果必然导致自然环境严重超标,人工交通环境不堪重负,因此,必须对世博会期间环境承载力进行调控。而世博会客流属于长期高强度客流,传统的以强制性手段为主的调控策略主要用于短期高强度客流的调控,并不适于世博会。基于局部向全局转换、“强制”向“引导”转换、单因素向双因素转换的调控原则,提出了基于“引导控制”模式的交通环境承载力调控策略：以“引导”手段为主,通过提高公交运行效率、补偿转换交通等措施吸引世博客流向公交方式转移;以“控制”手段为辅,在世博园区周围一定范围内限制社会车辆出入、使用清洁能源车辆,以保证世博客流集散,并降低世博客流对自然环境的影响。     

四川省农村环境空气污染源分布及其对自动监测点位设置影响的研究

将四川省农村地区分成平原和浅丘区、小起伏山地和高丘区、高山峡谷区三种类型区域。利用GIS软件,将四川省划分网格,分别统计每个网格中的工业废气污染点源数量和主要交通线路长度,得出四川省工业废气污染点源密度分级图和四川省主要公路密度分布图,以及结合农村污染面源的情况分析,总结出农村区域的主要污染密度分布类型。结果表明,在一定区域范围内,农村平原和浅丘区的工业源、交通源、农村面源分布均匀;高丘区、小起伏山区、高山峡谷区的污染源分布均具有明显的地理分布特性,山间平地和山谷台地的污染源分布密度高;根据四川省污染源分布规律给农村空气自动监测布点提供了指导。     

青岛市港口船舶大气污染排放清单的建立及应用

2002~2006年青岛市环保局与瑞典国际开发合作署合作开发了青岛市空气环境质量管理系统,建立青岛市海上交通源大气污染排放清单是其中的一项子专题,范围涉及青岛沿岸分布的港口,重点考虑船舶停泊港口及航线过程的大气污染物排放,划分了20条航线。建立的青岛市海上交通源大气污染排放清单在开发的基于GIS地理信息系统EnviMan复合源大气扩散模型中得到较好应用,实现了对沿海主要大气污染物排放量的空间模拟测算,解析出大气污染排放清单建立年度青岛市港口、航运排放的大气污染物对市区环境空气中的SO₂、NO_X浓度贡献分别约占8.0%、12.9%。     

弹药公路运输安全影响因素分析及防护

交通安全是弹药运输安全的前提条件.分析交通系统的构成要素,指出驾驶员是影响交通安全的核心因素.根据事故致因理论建立了交通安全事故模型.分析了弹药运输环境条件对弹药运输安全的影响,并提出研究运行速度与运输冲击振动环境变化的关系.最后,提出了弹药公路运输安全的3点防护对策.     

旅游公路景观协调性评价指标权重模型研究

为评价旅游公路景观协调性,通过对影响旅游公路景观协调性因素的分析,采用目标分解法初选评价指标,确定公路景观与交通安全、景观与视觉、景观与生态环境协调性3个目标层。在此基础上采用德尔菲法建立景观协调性评价指标体系;将景观协调性指标权重分为价值量权重和信息量权重2部分,在序关系分析法基础上充分利用指标值信息,综合主、客观赋权法,建立旅游公路景观协调性评价指标组合权重模型。结果表明:该模型可客观有效地确定各评价指标的权重。     

基于网络的交通安全宣传教育研究

为了建立我国交通安全宣传教育网络平台,通过网络平台进行多形式的交通安全宣传教育。采用网站检索的方法,梳理了国内、外主要城市交通安全宣传教育网站,并从专业性、系统性、针对性、形式多样性等角度进行研究。研究发现国外交通安全网站具有分类细致、系统性强、参与互动性强等特点。因此建议我国应加快明确重点教育人群,建立系统性的、专业的、多形式的交通安全宣教内容,引入社会团体等加入宣传教育的队伍,提高全面积极参与、提高关注度。     

危险品泄漏事故后动态路网应急疏散研究

在建立以最短车辆总疏散时间为目标的应急车辆疏散模型过程中,考虑路网上的车流是时变的,以动态交通流分配理论对应急车辆流进行优化分配。基于计算的复杂性和粒子群算法(PSO)的优点,采用PSO对模型进行求解。算例试验结果表明,优化后的方案能够减轻整个疏散车辆的拥堵程度,为应急管理部门决策提供理论支持。     

车人碰撞事故再现技术研究进展

车人碰撞事故再现已成为国内外研究热点,提高结果可信性为事故再现的核心。根据事故再现所需痕迹将再现方法分为6类,即"行人抛距"、"车辆制动距离"、"行人损伤"、"车辆变形"、"其他"以及"仿真"。通过分析各类方法的优缺点,提出可综合利用这些方法获得客观、可信的事故再现结果。然后探讨提高车人碰撞事故再现结果可信性的新发展方向:开发国产、高精度的事故再现软件,研究事故再现结果的不确定性问题,以及研究痕迹间关系在事故再现中的应用。而其中仿真所得事故再现结果的不确定性问题、车人碰撞事故再现区间不确定优化方法以及事故现场痕迹间关系为值得期待的新研究内容。     

A Bayesian assessment of the effect of highway bypasses in Iowa on crashes and crash rate

Introduction

A common contention is that the construction of highway bypasses negatively impacts the economy of local communities by reducing pass-by traffic for businesses. However, as access to specific business' account records is limited, this impact is difficult to quantify. Another common contention is that bypasses contribute to a reduction in overall crashes in the community and in the surrounding areas. Even though a large number of bypasses have been constructed in the State of Iowa over the past several years, their actual impact in terms of traffic safety has not been quantified.

Objectives

This study seeks answers to the following questions: (a) Are bypasses in Iowa associated with a reduction in crash frequencies and crash rates on the bypassed highway? (b) Do bypasses in Iowa introduce a reduction of overall crash frequencies and rates or do they merely shift crashes from the highways through the communities to the bypasses with no significant overall reduction?

Method

We obtained crash information from the Iowa DOT at 19 sites on which a bypass was constructed sometime during the past 23 years. We also obtained the same information at six sites used as comparison sites on which no bypasses were constructed at least until 2005. We them employed a Bayesian approach to estimating the association between the construction of the bypass and crash rates, while also accounting for other factors.

Results

The construction of bypasses in Iowa is associated with a significant increase in traffic safety both on the main road through town and on the combined main road and bypass roadway.     

Acciphilia on the road: An analysis of severe collisions

Introduction

Although prior studies of road traffic accidents have found between-group differences in risk, little attention has been given to the encounter between drivers involved in severe collisions.

Method

The present study empirically evaluates two different possible causes of "social accidents," which are defined as collisions between two or more drivers where some faulty social interaction might be assumed, and which are the most prevalent cause of road injuries. The analyses use merged Israeli collision records from 1983 to 2004 with data from two national censuses, thus providing an unprecedented empirical basis to study the social foundations of car accidents. The data are used to adjudicate between two alternative hypotheses: the heterogeneity hypothesis (socially different drivers tend to collide) versus the homogeneity hypothesis (socially similar drivers tend to collide).

Results

Multivariate analyses provide preliminary support for the latter hypothesis. Given an accident, there are more collisions among drivers from the same broad educational group, and the factors that influence this correlation are independent of geography. The paper thus leads to the idea that severe collisions reflect a sociological or ecological process that is akin to acciphilia.

Impact on Industry

The preliminary findings suggest that variation between drivers may be preferable to similarity, since apparently there is a greater tendency toward collisions between similar drivers.