Spatial relationships between alcohol outlet densities and drunk driving crashes: An empirical study of Tianjin in China

Introduction: Numerous studies have demonstrated the close relationship between alcohol availability and alcohol-related crashes. However, there is still a lack of spatial empirical analysis regarding this relationship, particularly in large cities of developing countries. Differences in alcohol outlets and drinking patterns in these cities may lead to quite different patterns of crash outcomes. Method: 3356 alcohol-related crashes were collected from the blood-alcohol test report of a forensic institution in Tianjin, China. Density of alcohol outlets such as retail locations, entertainment venues, restaurants, hotels, and companies were extracted based on 2114 Traffic Analysis Zones (TAZ) together with the residential and demographic characteristics. After applying the exploratory spatial data analysis, this research developed and compared the traditional Ordinary Least Square model (OLS), Spatial Lag Model (SLM), Spatial Error Model (SEM) and Spatial Durbin Model (SDM) to explore spatial effects of all the variables. Results: The results of incremental spatial autocorrelation show that the most significant distance threshold of alcohol-related roadway traffic crashes is 3 km. The SDM is found to be the optimal spatial model to characterize the relationship between alcohol outlets and crashes. The number of alcohol-involved traffic crashes is positively related to population density and retail density, but negatively related to the company density, hotel density, and residential density within the same TAZ. Meanwhile, dense population and hotels have reverse spillover effects in adjacent zones. Conclusions: The significant spatial direct effect and spillover effect of alcohol outlet densities on drunk driving crashes should not be neglected. These findings could help improve transportation planning, traffic law enforcement and traffic management for large cities in developing countries.     

Influence of pedestrian age and gender on spatial and temporal distribution of pedestrian crashes

Objectives: Every year, about 1.24 million people are killed in traffic crashes worldwide and more than 22% of these deaths are pedestrians. Therefore, pedestrian safety has become a significant traffic safety issue worldwide. In order to develop effective and targeted safety programs, the location- and time-specific influences on vehicle–pedestrian crashes must be assessed. The main purpose of this research is to explore the influence of pedestrian age and gender on the temporal and spatial distribution of vehicle–pedestrian crashes to identify the hotspots and hot times.

Methods: Data for all vehicle–pedestrian crashes on public roadways in the Melbourne metropolitan area from 2004 to 2013 are used in this research. Spatial autocorrelation is applied in examining the vehicle–pedestrian crashes in geographic information systems (GIS) to identify any dependency between time and location of these crashes. Spider plots and kernel density estimation (KDE) are then used to determine the temporal and spatial patterns of vehicle–pedestrian crashes for different age groups and genders.

Results: Temporal analysis shows that pedestrian age has a significant influence on the temporal distribution of vehicle–pedestrian crashes. Furthermore, men and women have different crash patterns. In addition, results of the spatial analysis shows that areas with high risk of vehicle–pedestrian crashes can vary during different times of the day for different age groups and genders. For example, for those between ages 18 and 65, most vehicle–pedestrian crashes occur in the central business district (CBD) during the day, but between 7:00 p.m. and 6:00 a.m., crashes among this age group occur mostly around hotels, clubs, and bars.

Conclusions: This research reveals that temporal and spatial distributions of vehicle–pedestrian crashes vary for different pedestrian age groups and genders. Therefore, specific safety measures should be in place during high crash times at different locations for different age groups and genders to increase the effectiveness of the countermeasures in preventing and reducing vehicle–pedestrian crashes.     

What is the relationship between self-reported aberrant driving behaviors,mindfulness, and self-reported crashes and infringements?

Objectives: This study investigated the relationship between self-reported aberrant driving behaviors, mindfulness, and self-reported crashes and infringements.

Methods: Three hundred and eighteen participants (M = 46.0 years, SD = 13.7 years; female: 81.8%) completed an online survey that assessed aberrant driving behaviors, mindfulness (including regular mindfulness meditation [MM]), and self-reported crashes and infringements during the past 2 years. Structural equation modeling (SEM) was used to examine the relationship between self-reported aberrant driving behaviors and mindfulness simultaneously, as well as with participants' age and estimated kilometers driven over the past year.

Results: The results of the SEM showed that mindfulness was negatively related to each self-reported aberrant driving behavior, with the strongest relationships being between mindfulness and driving-related lapses (?0.58) and errors (?0.46). Participants who practice MM had significantly fewer crashes in the past 2 years and reported significantly fewer driving-related violations and lapses compared to participants who did not practice MM (crashes: 9.3% vs. 18.8%, P < .05; violations: M = 6.66 [SD = 3.44] vs. M = 7.68 [SD = 4.53], P < .05; errors: M = 5.17 [SD = 3.44] vs. M = 6.19 [SD = 4.12], P < .05).

Conclusions: More research is needed to understand whether MM results in more mindful and attentive drivers or whether individuals who practice MM may have other traits or behaviors that are linked to improved safety.     

Motor Vehicle Crashes on Bridges and Countermeasure Opportunities

There are approximately 600,000 highway bridges in the United States. These structures differ from surface streets and highways in terms of their physical properties and operational characteristics, which in turn, affect the risk of motor-vehicle crashes and the kinds of crashes that occur. The purpose of this study was to identify motor-vehicle crash patterns and contributing factors to bridge crashes and related countermeasure opportunities on four urban bridges in the New York metropolitan area. A crash typology was developed using the narratives and diagrams in police crash reports in addition to standard police classifications of crashes. The final dataset contained records of 1,381 police-reported crashes. The four bridges studied had higher crash rates than their respective approach roads. Four major crash types accounted for approximately 90% of the bridge crashes. Primary collision factors are reviewed, and potential countermeasures are discussed.     

高速公路边坡生态防护系统探讨

分析了高速公路边坡特点及其侵蚀机理,阐述了过去我国边坡防护方式的不足之处,提出了边坡防护类型选择原则及生物防护方式的优势所在,同时还指出当前边坡防护中存在的问题.     

隧道侧部集中排烟模式下排烟速率对烟气层吸穿的影响研究

排烟速率是公路隧道侧部集中排烟模式下烟气层发生吸穿现象最为直接的影响因素.为研究隧道侧部集中排烟模式下烟气层发生吸穿现象的临界条件,分析了隧道侧部集中排烟过程中排烟口处烟气层的受力情况以及不同排烟速率对烟气层吸穿的影响,并结合前人相关的研究成果,进一步分析得到隧道侧部集中排烟模式下排烟口下方烟气层发生吸穿时的临界弗洛德...     

Degradation mechanism of 2,4,6-trinitrotoluene in supercritical water oxidation

The 2,4,6-trinitrotoluene(TNT)is a potential carcinogens and TNT contaminated wastewater,which could not be effectively disposed with conventional treatments.The supercritical water oxidation(SCWO)to treat TNT contaminated wastewater was studied in this article.The TNT concentration in wastewater was measured by high-performance liquid chromatograph(HPLC)and the degraded intermediates were analyzed using GC-MS.The results showed that SCWO could degrade TNT efficiently in the presence of oxygen.The reaction temperature,pressure,residence time and oxygen excess were the main contributing factors in the process.The decomposition of TNT was accelerated as the temperature or residence time increased.At 550℃,24 MPa,120 s and oxygen excess 300%,TNT removal rate could exceed 99.9%.Partial oxidation occured in SCWO without oxygen.It was concluded that supercritical water was a good solvent and had excellent oxidation capability in the existence of oxygen.The main intermediates of TNT during SCWO included toluene,1,3,5-trinitrobenzene,nitrophenol,naphthalene,fluorenone,dibutyl phthalate,alkanes and several dimers based on the intermediate analysis.Some side reactions,such as coupled reaction,hydrolysis reaction and isomerization reaction may take place simultaneously when TNT was oxidized by SCWO.     

海峡西岸经济区重点产业发展生态风险评价

针对海西区优越的生态环境质量、重要的生态服务功能和强烈的发展愿景,结合重点产业发展显著的经济、社会效益和强烈的生态影响,通过规划期区域生态状况评价及其动态变化分析,进行海西区重点产业发展生态风险评价.结果表明:2008年海西区生态状况总体较好,但是空间差异显著.区域生态状况的Ⅰ级、Ⅱ级分区主要分布于武夷山区和中部大山带,重点产业近远期发展生态风险以“无风险”和“轻风险”为主,对海西区生态环境保护和生态安全保障具有重要意义;区域生态状况的Ⅲ级、Ⅳ级分区集中于沿海地带,规划期重点产业发展生态风险多属“重风险”等级.不同土地产出率、发展方案下,海西区重点产业发展生态风险及其空间分布呈显著差异由于各地对重点产业发展的强烈愿景,地方愿景规划方案下海西区重点产业发展生态风险相对较强;但是土地产出率的提高有助于海西区减轻、规避重点产业发展生态风险;敖江流域、闽东诸河等地重点产业发展生态风险相对较轻,可以适当增加重点产业及相关产业布局.     

Effect of pavement condition and geometrics at signalised intersections on casualty crashes

IntroductionThis study investigated the effects of pavement surface condition and other control factors on casualty crashes at signalized intersections. It involved conducting a before and after study for road surface condition and situational factors. It also included assessing the effects of geometric characteristics on safety performance of signalized intersections post resurfacing to control for the effect of pavement surface condition. Pavement surface condition included roughness, rutting, and skid resistance. The control factors included traffic volume, light and surface moisture condition, and speed limit. The geometric characteristics included approach width, number of lanes, intersection depth, presence of median, presence of shared lane, and presence of bus stop.MethodTo account for the repeated observations of the effect of light and surface moisture conditions in four occasions (day-dry, day-wet, night-dry and night-wet) Generalized Estimating Equation (GEE) with Negative Binomial (NB) and log link function was applied. For each signalized intersection in the sample, condition data are collected for the year before and after the year of surface treatment. Crash data, however, are collected for a minimum of three and maximum of five years before and after treatment years.ResultsThe results show that before treatment, light condition, road surface moisture condition, and skid resistance interaction with traffic volume are the significant contributors to crash occurrence. For after treatment; light condition, road surface moisture condition, their interaction product, and roughness interaction with light condition, surface moisture condition, and traffic volume are the significant contributors. The geometric variables that were found to have significant effects on crash frequency post resurfacing were approach width interactions with presence of shared lane, bus stop, or median.ConclusionsThe findings confirm that resurfacing is significant in reducing crash frequency and severity levels.Practical Applications: The study findings would help for better understanding of how geometric characteristics can be improved to reduce crash occurrence.