杭州交通噪声投诉点污染现状调查与防治

近年来杭州交通噪声投诉点主要分布在高架道路、立交桥和绕城高速附近的高层住户。对其中9个交通噪声投诉点的监测表明,昼间超4 a类标准的有4个,超标范围为0.1~7.6 dB;夜间9个点全部超4 a标准,超标范围为5.4~17.4 dB,夜间噪声超标特别严重。采用低噪声路面,设置隔声屏障,对敏感点安装通风隔声窗以及加强交通噪声管理等对策,可减轻交通噪声对敏感点的影响,从而减少交通噪声的投诉。     

北京市道路空气中NO_x现状监测及控制对策

通过对北京城市3种典型交通道路空气中NOx的时空变化监测发现,城市道路空气NOx中NO分担率主要集中在31.6%～81.1%,明显高于非交通道路中NO的分担率(3.0%～34.0%).其原因是NO主要来源于机动车尾气的排放.利用MOBILE软件计算了各类机动车排放的ρ(NOx),并相应地确定了影响交通道路中ρ(NOx)的敏感因素.据此提出了北京市交通道路空气中NOx若干控制措施,如控制车速、车型、油料等.     

事故车辆影响下的城市三车道道路交通流仿真

为探究事故车辆对城市三车道道路交通影响机制,首先,分析考虑事故车辆的城市三车道道路交通流特征;然后,构建左车道优先且考虑主动抢道和被动抢道行为的元胞自动机交通流模型;最后;研究事故持续时间td变化时事故车辆分别位于M道和R道的城市道路交通流演化。结果表明:事故车辆会形成交通瓶颈,呈现上游车辆聚集下游车辆稀疏的时空特征,诱发交通拥堵,事故车辆对三车道交通影响明显小于两车道情形;且事故车辆位于R车道对道路交通流影响比事故车辆位于M车道更小,但这种影响的差异随进车率pe增加而减小。     

Corporate occupational exposure limits: An example of a strategy

Occupational exposure limits (OELs) developed by authorities play a key role in the implementation of programs to protect workers against hazardous chemicals. Unfortunately, many hazardous substances do not have OELs or the OEL could be outdated. To assure the health of the workers, it is therefore useful for companies to develop corporate OELs. An inhouse strategy will be presented hereafter. Expertise in toxicology, industrial hygiene, and occupational health should be available within the company and clear selection criteria for substances are needed. A corporate OEL is only developed for hazardous substances (e.g., carcinogenic or reprotoxic) with a high potential for worker exposure when an appropriate national OEL or threshold limit value is not available. The methodology to calculate corporate OELs is based on the existing methods for national or community OELs and also on the guidance from the European Union's (EU) regulation on the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH). For carcinogenic substances with a nonthreshold mode of action, there is always a residual chance that a cancer develops even when the exposure of workers is low. To establish an OEL for these substances, the “German traffic light model” is recommended. It is pragmatic, defines an unacceptable, tolerable, and acceptable risk level when workers are exposed to these substances, and determines risk management for exposure reduction. Overall, the professional practice to develop OELs is a good example of corporate leadership to proactively protect the health of workers.     

Importance of awareness in improving performance of emergency medical services (EMS) systems in enhancing traffic safety: A lesson from India

Objective: India has been slow in implementing a central emergency medical services (EMS) system across the country. “108 services” is one of the most popular services that is functional under the public–private partnership model. Limited available literature shows that despite access to services, many traffic crash victims are transported using private vehicles. The objective of this study is to understand the effectiveness of 108 services from a traffic safety perspective.

Method: A questionnaire survey is conducted to understand the awareness of EMS and their function. Using traffic-related fatalities as the dependent variable, a fixed effect panel data model is developed to analyze the effectiveness of the 108 services in improving the traffic safety.

Results: The results from the survey show that, in general, people are not aware of the 108 services. A majority of the population prefers taking victims to the hospital using their personal vehicles or any other vehicles available compared to calling an ambulance. Results from panel data analysis show that despite having an efficient system, these services failed to make significant improvement in the safety of road users in the states in which their services were subscribed.

Discussion: The lack of awareness of an important safety service is alarming. This could be a major reason for lower utilization of 108 services for transporting victims of traffic crashes. This article shows the importance of having efficient awareness campaigns to improve the efficiency of any similar programs that are aimed to enhance the safety of a region.     

Development of cycling skills in 7- to 12-year-old children

Objective: Cycling is a complex skill consisting of motor skills such as pedalling, braking, and steering. Because the ability to perform cycling skills is based on the age-related development of the child, experience and age-related reference values are of interest in light of customized testing and training.

Methods: One hundred thirty-eight children from the second (7–8 years), fourth (9–10 years), and sixth (11–12 years) grades performed a practical bicycle test consisting of 13 test items with specific points of interest. Moreover, age at onset of cycling, cycling to and from school, independent mobility, and minutes cycling per week were estimated using a parental questionnaire.

Results: It is found that cycling skills are strongly related to age with 11- to 12-year-old children outperforming 7- to 8-year-old children for 11 test items and 9- to 10-year-old children for 8 test items.

Conclusions: Next to age, age at onset of cycling also contributed to cycling skills. Therefore, our results suggest that cycling skills are associated with physical and mental maturation. Subsequently, age-related reference values are provided to customize testing and training.     

Estimated trends and patterns of road traffic fatalities in China, 2002–2012

Objective: This study examined the time trends and age distribution patterns of estimated road traffic fatalities (RTFs) in China over the period 2002–2012. Methods: Data on age-, sex-, and region-specific RTF rates were provided by the Chinese Ministry of Health. The crude rates were standardized and the Mann-Kendall test was used to test the significance of time trends. Annual number of RTFs was calculated. To minimize the effect of yearly variations, magnitude of changes in and age distribution patterns of the RTFs were examined using mean values of 2 years. Results: RTFs increased significantly in China during the study period. Several features were identified for the RTFs in China. First, RTF rates skyrocketed in rural areas including towns and counties. Second, a significant increase in RTFs was also observed in cities even though the change in RTF rates was not statistically significant there. Third, individuals aged 20–24, 40–49, and 55–64, especially in rural areas, were particularly at risk for RTFs in recent years. Finally, RTFs became more common among middle-aged and older adults than young Chinese, with roughly 57% of all RTFs occurring among individuals aged 45 and above during 2011–2012. Conclusions: RTFs increased dramatically in China during the past decade, especially in rural areas. Age distribution patterns of RTFs have changed there. Community-based public health education and intervention programs are warranted.     

Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey

Objective: Currently, in Turkey, fault rates in traffic accidents are determined according to the initiative of accident experts (no speed analyses of vehicles just considering accident type) and there are no specific quantitative instructions on fault rates related to procession of accidents which just represents the type of collision (side impact, head to head, rear end, etc.) in No. 2918 Turkish Highway Traffic Act (THTA 1983). The aim of this study is to introduce a scientific and systematic approach for determination of fault rates in most frequent property damage–only (PDO) traffic accidents in Turkey.

Methods: In this study, data (police reports, skid marks, deformation, crush depth, etc.) collected from the most frequent and controversial accident types (4 sample vehicle–vehicle scenarios) that consist of PDO were inserted into a reconstruction software called vCrash. Sample real-world scenarios were simulated on the software to generate different vehicle deformations that also correspond to energy-equivalent speed data just before the crash. These values were used to train a multilayer feedforward artificial neural network (MFANN), function fitting neural network (FITNET, a specialized version of MFANN), and generalized regression neural network (GRNN) models within 10-fold cross-validation to predict fault rates without using software. The performance of the artificial neural network (ANN) prediction models was evaluated using mean square error (MSE) and multiple correlation coefficient (R).

Results: It was shown that the MFANN model performed better for predicting fault rates (i.e., lower MSE and higher R) than FITNET and GRNN models for accident scenarios 1, 2, and 3, whereas FITNET performed the best for scenario 4. The FITNET model showed the second best results for prediction for the first 3 scenarios. Because there is no training phase in GRNN, the GRNN model produced results much faster than MFANN and FITNET models. However, the GRNN model had the worst prediction results. The R values for prediction of fault rates were close to 1 for all folds and scenarios.

Conclusions: This study focuses on exhibiting new aspects and scientific approaches for determining fault rates of involvement in most frequent PDO accidents occurring in Turkey by discussing some deficiencies in THTA and without regard to initiative and/or experience of experts. This study yields judicious decisions to be made especially on forensic investigations and events involving insurance companies. Referring to this approach, injury/fatal and/or pedestrian-related accidents may be analyzed as future work by developing new scientific models.     

Driver's obesity and road crash risks in the United States

Objective: We assessed obesity trends in U.S. drivers involved in fatal crashes since 1999 and distinguished whether crash risk factors were different between obese and nonobese drivers.

Methods: We included only drivers of passenger cars involved in fatal traffic crashes between January 1, 1999, and December 31, 2012. Obesity was classified according to the World Health Organization guidelines and profiled between 1999 and 2012 using the adjusted prevalence ratio (aPR) from log-binomial regression models. Differences in crash risks (e.g., driver's fatality, drunk driving, seat belt nonuse) between obese and nonobese drivers were estimated as adjusted odds ratios (aORs) using logistic regression models.

Results: A total of 753,024 U.S. drivers were involved in fatal crashes, for which obesity information was available for 534,887. About 56% (n = 299,078) were driving passenger cars. The prevalence of class I obesity increased from 10% in 1999 to 14% in 2012 (aPR = 1.50, 95% confidence interval [CI], 1.42–1.58), class II obesity from 3 to 5% (aPR = 2.22, 95% CI, 2.05–3.01), and class III obesity from 1 to 2% (aPR = 2.65; 95% CI, 2.27–3.10). Compared to nonobese controls, obese drivers had significantly higher risks for fatality (1.10 ≤ aOR ≤ 1.47), seat belt nonuse (1.00 ≤ aOR ≤ 1.21), need for extrication (1.01 ≤ aOR ≤ 1.23), and ambulance transport time ≥30 min (1.01 ≤ aOR ≤ 1.28). Compared to nonobese controls, obese drivers were less likely to drink drive (0.41 ≤ aOR ≤ 0.72) or speed >65 mph (0.78 ≤ aOR ≤ 0.93).

Conclusion: The rising national prevalence of obesity extends to U.S. drivers involved in fatal crashes and indicates the need to improve seat belt use, vehicle design, and postcrash care for this vulnerable population.     

北京大气中 NH3的分布和变化情况研究

PM2．5现在是中国大气中的主要污染物,而NH3作为前驱物,越来越受到大家的重视,在以往NH3监测中,往往采取手工采样和化学分析的方法进行监测,难以长时间不间断获得NH3的实时浓度。而选取利用Thermo公司的17i仪器则可以做到实时监测NH3的变化,继而分别对北京市区、农村和交通站周边的NH3进行了连续监测,发现市区浓度高于郊区,夏天浓度高于冬天,交通源对NH3排放有较大影响。