Drunk driving offenders’ knowledge and behaviour in relation to alcohol-involved driving in Yinchuan and a comparison with Guangzhou, China

Jia, Keqin; King, Mark; Fleiter, Judy; Sheehan, Mary C.; Ma, Wenjun; Lei, Jing; Zhang, Jianzhen

doi:10.1016/j.trf.2015.12.011

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…Overall, prior studies have formed a broad research base for the relationship between alcohol-involved driving and traffic crashes, but these studies primarily concentrated on metropolises (i.e., [3,4,18,19,23,24]). However, very limited studies have focused on the small-sized cities of China.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang

Cheng

Lü

et al. 2019

IJERPH

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Intoxicated driving is a threat to both drivers and other road users. Exploring the association between intoxicated driving factors and traffic crashes is essential for taking effective countermeasures. Most previous works have studied the relation between intoxicated driving and traffic crash based on some large-sized cities. The current study aims to evaluate the effect of driving factors on traffic crashes among intoxicated drivers in a small-sized city in China. Descriptive statistics and binary logistic regression analysis are performed to guide the study, and the data (N=1010) for the period 2016–2017 in Wujiang (i.e., a small-sized city in China) are employed as the target samples. The results demonstrate age, years of driving experience, road position, week, hour and blood alcohol concentration (BAC) are associated with traffic crashes in Wujiang. Specifically, the age of “18–25”, the years of driving experience of “≤2”, the “road intersection”, the “weekend”, the period of “0:00–6:59” and the BAC of “above 150 mg/100 mL” are more likely to cause traffic crashes among intoxicated drivers. The findings can be referred to make some targeted policies or measures to relieve Wujiang’s intoxicated driving situation and reduce the number of crashes caused by intoxicated driving.

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Section: Introductionmentioning

confidence: 99%

Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang

Cheng

Lü

et al. 2019

IJERPH

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“…(3) When the parameter =0, the Spatial Durbin Model (SDM) can be expressed as formula (7). Not only is the spatially lagged correlation of dependent variables considered, but also the explanatory variables are considered.…”

Section: Spatial Weightmentioning

confidence: 99%

“…In China, some scholars have used foreign 2 Mathematical Problems in Engineering crashes data for analysis [6]. Other researchers focused on traffic violations such as drunk driving and speeding based on the traffic survey [7]. However, the situation is gradually changing.…”

Section: Introductionmentioning

confidence: 99%

Macrolevel Traffic Crash Analysis: A Spatial Econometric Model Approach

Wang

Chen

Huang

et al. 2019

Mathematical Problems in Engineering

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This study presents a spatial approach for the macrolevel traffic crashes analysis based on point-of-interest (POI) data and other related data from an open source. The spatial autoregression is explored by Moran's I Index with three spatial weight features (i.e., (a) Rook, (b) Queen, and (c) Euclidean distance). The traditional Ordinary Least Square (OLS) model, the Spatial Lag Model (SLM), the Spatial Error Model (SEM), and the Spatial Durbin Model (SDM) were developed to describe the spatial correlations among 2,114 Traffic Analysis Zones (TAZs) of Tianjin, one of the four municipalities in China. Results of the models indicated that the SDM with the Rook spatial weight feature is found to be the optimal spatial model to characterize the relationship of various variables and crashes. The results show that population density, consumption density, intersection density, and road density have significantly positive influence on traffic crashes, whereas company density, hotel density, and residential density have significant but negative effects in the local TAZ. The spillover effects coefficient of population density and road density are positive, indicating that the increase of these variables in the surrounding TAZs will lead to the increase of crashes in the target zone. The impacts of company density and hotel density are just the opposite. In general, the research findings can help transportation planners and managers better understand the general characteristics of traffic crashes and improve the situation of traffic security.

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“…However, compared to the data of USA [3], it must be pointed out that the statistics are inaccurate because of statistical methods and other reasons [5]. In 2014, the percentage of fatal crashes involving alcohol rose to 17.5% (n = 381), representing a 34.9% (n = 253) increase from 2012 in Cambodia [6].…”

Section: Introductionmentioning

confidence: 99%

Research on the Drunk Driving Traffic Accidents Based on Logistic Regression Model

Wang¹,

Chen²,

Huang³

et al. 2018

OJAppS

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Most of the current studies on drunk driving accidents focus on law making and public education. However, especially in China, there is less statistical analysis on the severity of drunk driving accidents between driving under the influence of alcohol (DUI) and driving while intoxicated (DWI). 3368 drunk driving related crashes were collected from the blood-alcohol test report in a city of China at 2012 and 2013. After data pre-processing, Chi-square tests were used to analyze the association between different variables and the type of drunk driving. The logistic regression model is conducted to estimate the effect of the variables under DUI and DWI. The results show that Hour of the day, Driver's age, Driver's casualties and Accident area have significant correlation with drunk driving. There was a slightly decrease by 0.995 per year with age and a slightly increase by 1.014 with time in the possibility of DWI. DWI is more likely to cause death in traffic accidents (OR = 1.316) than DUI. Driver's deaths (OR = 2.346) is more likely to happen than the injuries (OR = 1.910) under DWI cases. These findings show that more attention should be paid to strengthen controls on the DWI. It also can provide important basis for accident prevent, traffic law enforcement and traffic management.

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Drunk driving offenders’ knowledge and behaviour in relation to alcohol-involved driving in Yinchuan and a comparison with Guangzhou, China

Cited by 7 publications

References 11 publications

Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang

Exploring the Effect of Driving Factors on Traffic Crash Risk among Intoxicated Drivers: A Case Study in Wujiang

Macrolevel Traffic Crash Analysis: A Spatial Econometric Model Approach

Research on the Drunk Driving Traffic Accidents Based on Logistic Regression Model

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