深圳市机动车年检站环保行为剖析

通过对深圳市机动车年检站的社会定位和排气检测现状的描述,分析了各年检站对排气检测这一环保项目的经营态度以及与政府各相关部门及车属单位等的相互关系,提出了对年检站从事机动车排气检测工作,其环保行为应加强监督管理的思路     

北京大气CH4、CO2、TOC日变化规律及垂直分布的自动连续观测

提出了一种能自动连续监测CH4、CO2、TOC日变化及垂直分布的系统,利用该系统监测了2002年冬季CH4、CO2、TOC垂直分布的日变化的变化趋势.结果发现,距地面高度增加,受湍流扩散的影响,CH4、CO2、TOC浓度降低.冬季CH4浓度的日变化呈现明显的单峰周期变化,CO2日变化呈双峰形分布,TOC日变化没有明显的特征,其日变化受机动车尾气排放的影响很大.根据2002年冬季CO2浓度与2000年以前的对比结果发现,北京市冬季燃煤排放的污染物已处于一个相对稳定期,而随着北京市机动车保有量迅速增加,尾气排放成为影响某些大气微量气体日变化的主要因素.     

基于交通流的成都市高分辨率机动车排放清单建立

提出一种基于交通流监测数据的道路机动车高分辨率排放清单建立方法,对成都市道路交通流特征进行分析并建立了成都市机动车尾气高分辨率排放清单.结果表明,成都市道路车流量及排放均呈现明显的"双峰"分布,早晚高峰时段机动车通行量占全天的39.85%,车队结构中排放标准以国Ⅳ车为主,车辆类型以小型车为主,燃料类型以汽油车为主;道路机动车SO₂、NO_x、CO、PM₁₀、PM_2.5、BC、OC和VOCs(不含驻车蒸发)日排放量分别为3.89、 162.08、 324.11、 4.79、 4.36、 1.89、 0.78和44.37 t,空间分布整体呈现从城市中心到外围排放强度逐渐降低趋势,时间分布基本呈现"双峰"分布,颗粒物相关指标受货车流量影响较大; NO_x、PM₁₀、PM_2.5、BC和OC主要来源为大型柴油车,CO主要来源为小型汽油车,其中大型车对NO_x的贡献率达80%;基于保有量的计算方法对成都市道路机动车污染物排放存在一...     

柴油车加载减速烟度测试工况的关联规则研究

进行在用柴油车加载减速烟度检测工况点的关联规则研究。应用数据挖掘方法对4730台次柴油车的加载减速烟度排放检测数据进行分析,挖掘该检测方法中的三种检测工况点测试烟度值HSU100、HSU90、HSU80合格与否相互之间的关联规则。发现该三种检测工况烟度排放检测合格的相互支持度在85.8%~90.68%范围内,而其中任一种检测工况下烟度测试合格相对车辆烟度检测合格的支持度为77.8%。     

Continued trends in older driver crash involvement rates in the United States: Data through 2017–2018

Introduction: With the growing older adult population due to the aging baby-boom cohort, there was concern that increases in fatal motor-vehicle crashes would follow. Yet, previous analyses showed this to be untrue. The purpose of this study was to examine current trends to determine if previous declines have persisted or risen with the recent increase in fatalities nationwide. Methods: Trends among drivers ages 70 and older were compared with drivers 35–54 for U.S. passenger vehicle fatal crash involvements per 100,000 licensed drivers from 1997 to 2018, fatal and all police-reported crash involvements per vehicle miles traveled using the 1995, 2001, 2009, and 2017 National Household Travel Surveys, and driver deaths per 1,000 crashes. Results: Since the mid-1990s, fatal crashes per licensed driver trended downward, with greater declines for drivers ages 70 and older than for middle-aged drivers (43% vs. 21%). Fatal crash rates per 100,000 licensed drivers and police-reported crash rates per mile traveled for drivers ages 70–79 are now less than those for drivers ages 35–54, but their fatal crash rates per mile traveled and risk of dying in a crash remain higher as they drive fewer miles. As the economy improved over the past decade, fatal crash rates increased substantially for middle-aged drivers but decreased or remained stable among older driver age groups. Conclusions: Fatal crash involvements for adults ages 70 and older has recently increased, but they remain down from their 1997 peak, even as the number of licensed older drivers and the miles they drive have increased. Health improvements likely contributed to long-term reductions in fatal crash rates. As older drivers adopt vehicles with improved crashworthiness and safety features, crash survivability will improve. Practical Application: Older adults should feel confident that their independent mobility needs pose less risk than previously expected.     

Adaptation of a Canadian culpability scoring tool to Alberta police traffic collision report data

Objective: The objective of this study was to adapt a previously validated Canadian Culpability Scoring Tool (CCST) to Alberta police report data.

Methods: Police traffic collision reports from motor vehicle (MV) collisions in Calgary and Edmonton (Alberta, Canada) from 2010 to 2014 were used. Adaptation of the CCST was completed with input from personnel within Alberta Transportation, contributing to face and content validity. Two research assistants, given only the information necessary for scoring, evaluated 175 randomly selected MV–MV collisions. Interrater agreement was estimated using kappa (k) and reported with 95% confidence intervals (CIs). Discussion of disagreements between the research assistants and consultation from Alberta Transportation informed the algorithm used in the Alberta Motor Vehicle Collision Culpability Tool (AMVCCT). The AMVCCT was automated and applied to all motorists involved in collisions. Binary logistic regression was used to examine characteristics of the culpable and nonculpable drivers and their effects were reported using odds ratios (ORs) with 95% CIs.

Results: Interrater agreement for the random sample was excellent (k = 0.95; 95% CI, 0.92–0.99). Of those drivers hospitalized, 1,130 (37.54%) were rated not culpable and 1,880 (62.46%) were rated culpable. The odds of being culpable were higher for males than for females (OR = 1.43; 95% CI, 1.23–1.66). The odds of being culpable were higher in those impaired by alcohol than those considered “apparently normal” (OR = 61.10; 95% CI, 22.66–164.75). The odds of being deemed culpable, when compared with drivers >54 years old, were higher for those <25 years old (OR = 1.72; 95% CI, 1.35–2.20) and lower for those in the 40- to 54-year-old age group (OR = 0.78; 95% CI, 0.63–0.96). Driving between 12 a.m. and 6 a.m. resulted in higher odds of being culpable compare with all other 6-h time blocks. Direction and statistical significance remained consistent when applying the tool to all MV collisions. Sensitivity analysis including the removal of single vehicle collisions did not affect the direction or statistical significance of the main results.

Conclusions: The AMVCCT identified a culpable group that exhibited characteristics expected in drivers who are at fault in collisions. The age groups 25–39 and 40–54 demonstrated different results than the CCST. However, this is the only difference that exists in the findings of the AMVCCT compared to the CCST and could exist due to differences between the driving populations in Alberta and British Columbia. It is possible to adapt the CCST to provinces outside British Columbia and, in doing so, we can identify risk factors for collision contribution and not-at-fault drivers who represent the driving population.     

US vehicle fuel-efficiency choices: demographic,behavioral, and cultural factors

In the United States, a large proportion of greenhouse gas emissions are from personal vehicle use, and there are large differences in emissions between the most and least efficient vehicles. We use data from 2009 US National Household Travel Survey to characterize consumers who drive the most and least efficient vehicles. We calculate personal fleet efficiency based on all vehicles owned, reflecting the behavioral aspect of vehicle-use choices by owners. Though higher incomes provide the means to purchase more efficient vehicles, we find those with higher incomes more likely to drive low-efficiency vehicles. Higher education levels correlate with greater vehicle efficiency. While some efficiency differences are based on consumer characteristics such as family size, we find large differences that we attribute mostly to cultural preferences as observed by race, region, etc. From a policy perspective, these differences are of particular interest since they may be amenable to change.     

Characteristics of Moose-vehicle Collisions in Anchorage, Alaska, 1991–1995

Moose have successfully adapted to Anchorage's urban environment, using greenbelt areas for shelter, forage, and protection from nearby predator populations. However, the proximity of moose to people poses unique hazards: a motor vehicle colliding a moose may cause significant injury and vehicle damage. The annual Moose Vehicle Collision (MVC) rate increased during the study period from 40 to 52 MVCs per 100,000 registered vehicles in Anchorage, a significant (X² = 7.8, p < 0.01) increase of 23%. Of 519 reported MVCs, 23% resulted in injury to 158 people, with no human fatalities. Collisions were 2.6 times more likely to have occurred in the dark (n = 375, [72%]) than during daylight hours. An MVC on a dry road was twice (95% CI: 1.29, 3.08) as likely to have resulted in an injury as an incident on a slick road. MVCs may be prevented by: reducing speed limits around greenbelt areas, brighter vehicle headlights, placement of street lights in known moose areas, underpasses for wildlife at known crossings, and snow removal to reduce berm height in areas of high moose concentrations. Published by National Safety Council and Elsevier Science Ltd     

The variation of street air levels of PAH and other mutagenic PAC in relation to regulations of traffic emissions and the impact of atmospheric processes

The occurrence of particle associated PAH and other mutagenic PAC was determined in 1996 in the street air of Copenhagen. In addition, particle extracts were tested for mutagenicity. The measurements were compared with previous measurements in 1992/1993. The levels had decreased in this period. The decrease was caused by an implementation of light diesel fuels for buses and the exchange of older petrol-driven passenger cars with catalystequipped new ones. About 65% of the reduction was caused by the application of the light diesel fuels. Under special conditions, chemical processes in the atmosphere produced many more mutagens than the direct emissions. The concentrations of S-PAC and N-PAC were 10 times lower than those of PAH, while the levels of oxy-PAH were in the same order of magnitude as those of PAH. Benzanthrone, an oxy-PAH, is proposed to be formed in the atmosphere in addition to direct emissions. Benzo(a)pyrene, often applied as an air quality criteria indicator, was photochemically degraded in the atmosphere. A strong increase in the mutagenic activities was observed to coincide with a depletion of benzo(a)pyrene.