机动车尾气对人体健康的危害

随着城市机动车保有量的不断增加,机动车尾气已经成为影响我国城市大气环境的主要问题之一。本文以儿童和交通警察两类人群为例,分析了机动车尾气污染给人体呼吸系统、免疫系统、心脑血管系统等造成的危害。结果表明,由于儿童的呼吸带与机动车尾气排放带非常接近,交警在机动车尾气环境中暴露事件太长,导致这两类人群的呼吸系统极易遭到破坏,发生支气管炎等疾病的概率大大增加;而免疫球蛋白水平和血压发生改变导致了抵抗能力的下降。最后建议通过采取发展公共交通、加强城市交通管理、完善检查维修制度等有效措施加强机动车尾气治理,减少对人体健康产生的危害。     

城市街道空气中铅污染及其对机体无机盐影响的研究

本文对兰州市不同交通路口铅污染现场监测及交警人群健康体检,结果表明各路口受汽车尾气污染严重,铅浓度在１．１６～２．６４μｇ／ｍ３之间。将１２０名交警分外勤警７０人作为污染组,内勤警及户藉警５０人作为对照组,调查结果尿中δ－氨基乙酰丙酸两组比较没有统计学差异（Ｐ＞０．０５）;污染组发铅、尿铅浓度均显著高于对照组,发锌、铜、钙及血中ＩｇＡ、ＩｇＧ、ＩｇＭ均低于对照组,并具有统计学差异（Ｐ＜０．０５,Ｐ＜０．０１）。提示街道空气铅污染对交警体内无机盐水平及机体免疫能力具有一定的影响。     

Governing sustainable cities

Boston's Chinatown is an urban community surrounded by businesses, a university, a large medical centre, and an area zoned for “adult entertainment” called the Combat Zone. The overall goal of this exploratory study was to examine the temporal and geographic distribution of street crime in Boston's Chinatown using police crime reports from the years 1988 to 2004. Crime patterns were most notably associated with the presence of the adult entertainment area, known as the Combat Zone. However, despite the decline of adult businesses over the study period, we saw small limited reduction in property and violent crimes, suggesting that the decline of these businesses did not lead to large-scale short-term (<5 years) reductions in crime.     

Child Abuse Investigation: Police Officers and Secondary Traumatic Stress

Child protection is an area of police work which has expanded in the last decade, leading to an increase in the number of police officers working in departments which specialise in investigating cases of child abuse. Police officers in this field may be at greater risk of experiencing secondary traumatic stress but there remains a paucity of research in this area of policing. Analogies can be drawn to existing research in policing and with social service workers involved in child protection. The paper finishes off with implications for police forces to ensure safe working environments and appropriate counselling for employees.     

Risk factors for the severity of injury incurred in crashes involving on-duty police cars

Objective: This article explores the risk factors associated with police cars on routine patrol and/or on an emergency run and their effects on the severity of injuries in crashes.

Methods: The binary probit model is used to examine the effects of important factors on the risk of injuries sustained in crashes involving on-duty police cars.

Results: Several factors significantly increase the probability of crashes that cause severe injuries. Among those causes are police officers who drive at excessive speeds, traffic violations during emergency responses or pursuits, and driving during the evening (6 to 12 p.m.) or in rainy weather. Findings also indicate some potential issues associated with an increase in the probability of crashes that cause injuries. Younger police drivers were found to be more likely to be involved in crashes causing injuries than middle-aged drivers were. Distracted driving by on-duty police officers as well as civilian drivers who did not pull over to let a police car pass in emergency situations also caused serious crashes.

Conclusions: Police cars are exempted from certain traffic laws under emergency circumstances. However, to reduce the probability of being involved in a crash resulting in severe injuries, officers are still obligated to drive safely and follow safety procedures when responding to emergencies or pursuing a car. Enhancement of training techniques for emergency situations or driving in pursuit of an offender and following the safety procedures are essential for safety in driving during an emergency run by police.     

Before the crash: A systematic analysis of police narratives to determine the prevalence of pre-crash factors in fatality road transport crashes

Abstract

Objectives: The objectives of this study were to identify the prevalence of pre-crash factors that were present in fatal road transport crashes for the deceased and counterpart road user.

Methods: The study is a retrospective population-based case series study of transport-related deaths reported to coroners in Australia from 2013 to 2016. Data was extracted from the National Coronial Information System.

Results: In total, 6,137 fatality crashes occurred during the study period. Police reports were available for 5,523 crashes (89.9%). The most frequently reported pre-crash factors reported behaviour specifically drivers (e.g., driving without a license or while license was disqualified). Presence of intoxicating substances were also reported in the deceased and counterparts. Analyses of toxicology reports are continuing to determine if rates are comparable to level of use in community.

Conclusions: Coronial report provide detailed information that may be pertinent to understanding and potentially preventing crashes. Also emerging from the data is the extent of pre-crash factors that relate to illegal or deviant behavior and whether these are contextual or contributory factors.     

Understanding traffic crash under-reporting: Linking police and medical records to individual and crash characteristics

Objective: This study aligns to the body of research dedicated to estimating the underreporting of road crash injuries and adds the perspective of understanding individual and crash factors contributing to the decision to report a crash to the police, the hospital, or both.

Method: This study focuses on road crash injuries that occurred in the province of Funen, Denmark, between 2003 and 2007 and were registered in the police, the hospital, or both authorities. Underreporting rates are computed with the capture–recapture method, and the probability for road crash injuries in police records to appear in hospital records (and vice versa) is estimated with joint binary logit models.

Results: The capture–recapture analysis shows high underreporting rates of road crash injuries in Denmark and the growth of underreporting not only with the decrease in injury severity but also with the involvement of cyclists (reporting rates of about 14% for serious injuries and 7% for slight injuries) and motorcyclists (reporting rates of about 35% for serious injuries and 10% for slight injuries). Model estimates show that the likelihood of appearing in both data sets is positively related to helmet and seat belt use, number of motor vehicles involved, alcohol involvement, higher speed limit, and females being injured.

Conclusions: This study adds significantly to the literature about underreporting by recognizing that understanding the heterogeneity in the reporting rate of road crashes may lead to devising policy measures aimed at increasing the reporting rate by targeting specific road user groups (e.g., males, young road users) or specific situational factors (e.g., slight injuries, arm injuries, leg injuries, weekend).     

Assessing the extent and nature of wildlife trade on the dark web

Use of the internet as a trade platform has resulted in a shift in the illegal wildlife trade. Increased scrutiny of illegal wildlife trade has led to concerns that online trade of wildlife will move onto the dark web. To provide a baseline of illegal wildlife trade on the dark web, we downloaded and archived 9852 items (individual posts) from the dark web, then searched these based on a list of 121 keywords associated with illegal online wildlife trade, including 30 keywords associated with illegally traded elephant ivory on the surface web. Results were compared with items known to be illegally traded on the dark web, specifically cannabis, cocaine, and heroin, to compare the extent of the trade. Of these 121 keywords, 4 resulted in hits, of which only one was potentially linked to illegal wildlife trade. This sole case was the sale and discussion of Echinopsis pachanoi (San Pedro cactus), which has hallucinogenic properties. This negligible level of activity related to the illegal trade of wildlife on the dark web relative to the open and increasing trade on the surface web may indicate a lack of successful enforcement against illegal wildlife trade on the surface web.     

城市道路交通应急警力配置模型研究

为实现区域性的紧急交通事件的快速疏导与救援,进行科学合理的调度警力,提出应急警力配置模型。该模型基于图论原理构建原始问题的拓扑结构,利用遗传算法求解。通过该模型的求解可以得出应急警力布点的最优配置,以满足在给定警力数量的情况下应急警力能够在指定时间内到达辖区内可能发生交通事件的任意应急点,并结合算例对该模型进行验证。结果表明:在满足模型要求的假设条件下,利用MATLAB软件结合遗传算法,可以最终获得优化的警力配置方案。因此,基于图论与遗传算法相结合构建的城市道路交通应急警力配置模型,可以实现公安警力救援的优化调度,进一步实现科学而高效率的救援。     

Driving under the influence of alcohol and the effects of alcohol prohibition—Case study in Serbia

Objective: The purpose of this study is to provide an overview of the prevalence of driving under the influence of alcohol (DUI) according to day of the week, specific roads (urban/rural), daytime or nighttime, and vehicle category. In addition, this study examines how the prohibition of selling alcoholic drinks in shops and supermarkets (not in restaurants) after 10 p.m. has affected the prevalence of DUI.

Method: Breath alcohol concentration (BrAC) was collected from all drivers through police checkpoints at 54 locations in Serbia. In this study, 17,945 drivers were tested in urban areas and 19,507 in rural areas. The relationship between DUI during the prohibition on alcohol sales in Belgrade and other large cities in Serbia was determined using logistic regression.

Results: On average, every 100th driver in traffic in Serbia was DUI (0.99%). This study shows that the 0 blood alcohol concentration (BAC) limit for motorcyclists does not have an influence on DUI. Moreover, motorcyclists represent the category with the highest share of DUI, with a statistically significantly larger difference compared to drivers of other vehicle categories. These results may be a consequence of the fact that a large number of drivers drive both motorcycles and other vehicle categories (cars or mopeds), so the different BAC limits for nonprofessional drivers may create confusion about the legal BAC limit.

Conclusions: This study suggests that the required legal BAC limit for nonprofessional drivers should be the same. The prohibition of selling alcoholic drinks in Belgrade after 10 p.m. does not decrease the prevalence of DUI.