Investigation on Road Traffic Safety of the Mountain Areas in Southwest China Based on Wulong County, Chongqing Municipality

Zhou, Jihong; Zhao, Xincai; Jiang, Zhendong; Zhu, Shunying; Zhou, J. Y.

doi:10.1080/15389580590931707

Cited by 7 publications

(4 citation statements)

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“…Over the past years, a great number of studies have concentrated on manifold factors influencing fatal and non-fatal road traffic accidents and their injury severity. Recent studies emphasized pre-crash human factors, such as alcohol consumption (Kim et al, 1995;Reynaud et al, 2002;Cummings et al, 2006;Yannis et al, 2008;Arranz and Gil, 2009;De Boni et al, 2013); seat-belt or Helmet usage (Cooper and Salzberg, 1993;Kim et al, 1995;Cummings et al, 2006); pre-crash vehicle factors such as the type of tyres (Strandoth et al, 2012;Elvik et al, 2013); at-crash vehicle factors such tire blow-outs, mechanical defects of the motor vehicles (Martin and Laumon, 2005;Barengo et al, 2006;Alam and Spainhour, 2009); pre-crash environmental factors such as roadway features or defects (Shankar et al, 1995;Karlaftis and Golias, 2002;Lee and Mannering, 2002;Chen and Chen, 2011;Kartal et al, 2011); at crash environmental factors such as road parameters, traffic signs, street lights, curbs or rumble strips (Hijar et al, 2000;Carson and Mannering, 2001;Zhou et al, 2005;Kim et al, 2007;Bombom and Edino, 2009;Šliupas, 2009;Pulugurtha and Bhatt, 2010;Jiang et al, 2011;Mamčic and Sivilevičius, 2013) using various statistical methods including logistic regression. In some researches, age (Cooper, 1990;Abdel-Aty et al, 1998;Zhang et al, 1998;Awadzi et al, 2008;Alam and Spainhour, 20...…”

Section: Introductionmentioning

confidence: 99%

Risk Factors Affecting Fatal Versus Non-Fatal Road Traffic Accidents: The Case of Kars Province, Turkey

Çelik¹,

Senger²

2014

IJTTE

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The aim of this paper is to determine risk factors affecting the fatal versus non-fatal accidents in a rural region of Turkey, during 2008-2012, considering variables associated with the individual, the environment, and the motor vehicle. A retrospective study was conducted by obtaining the data from the traffic police road accident reports between 2008 and 2012. A stepwise logistic regression analysis was performed to analyze the data and critical factors that contributed significantly to fatal versus non-fatal traffic accidents. The results revealed that the driver's age (OR = 1.09; 90% CI = 1.05-1.14), clear weather (OR = 0.11; 90% CI = 0.02-0.65), winter season (OR = 0.16; 90% CI = 0.03-0.75), straight (OR = 0.22; 90% CI = 0.05-0.91) or slight road curve/bend (OR = 0.17; 90% CI = 0.04-0.83), the driver's education (OR = 0.18; 90% CI = 0.04-0.85) and the purpose of the vehicle (OR = 0.20; 90% CI = 0.04-0.94) were the significant factors affecting road traffic accidents over the sample period.

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Section: Introductionmentioning

confidence: 99%

Risk Factors Affecting Fatal Versus Non-Fatal Road Traffic Accidents: The Case of Kars Province, Turkey

Çelik¹,

Senger²

2014

IJTTE

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“…9 Ma et al 10 reviewed four nationallevel data sources used to estimate the burden of road traffic injuries, including mortality, injury, and crashes in China. Zhou et al 11 investigated road traffic safety in the mountain areas of Southwest China and suggested that the high incidence of severe crashes closely relates to imperfect road design, defective execution of traffic laws, imperfect management, and environmental factors. Wang et al 12 developed a driver safety approach behavioral model based on driver human factors analysis to prevent rear-end collisions in car-following situations.…”

Section: Introductionmentioning

confidence: 99%

Factor analysis of fatal road traffic crashes with massive casualties in China

Chen

Zhang

2016

Advances in Mechanical Engineering

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Factor analysis refers to a collection of statistical methods for reducing correlational data into a smaller number of dimensions or factors. In this study, factor analysis theory was used to determine the main influential factors of road traffic crashes with massive casualties. Twenty variables related to personnel, vehicles, roads, and environment were collected, and the significance of their correlations was tested for validity. A correlation coefficient matrix R was calculated, and its latent root l was obtained based on the characteristic equation. A number of common factors were determined according to the value of latent root l. Factor loading was used to express the relationship of each variable to the underlying main influential factors. An index system of accident factors was developed based on the results of factor loading, and the weight of each factor was calculated to classify the factor influence. The main influential factors of accidents were determined to be fault behavior, driving experience, condition of vehicle safety, purpose of vehicle, road lighting, driver, road surface condition, roadside protection facilities, and road terrain.

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“…More than 100 000 people die of traumatic injury and millions of people are injured each year in China. Furthermore, experts predict that the number of traumatic casualties will double in the 22nd century [14] . All these suggest that trauma in combination with cirrhosis is a challenge to Chinese doctors.…”

Section: Discussionmentioning

confidence: 99%

Pre-existing cirrhosis is associated with increased mortality of traumatic patients: Analysis of cases from a trauma center in East China

Chen

Ni²,

Gao³

et al. 2007

WJG

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AIM:To determine the impact of cirrhosis on trauma patients and define the factors predicting death. METHODS:The data on patients admitted to the trauma center from January 2000-2005 were studied retrospectively. The clinical variables were recorded and compared to identify the factors differentiating cirrhotic trauma survivors from non survivors. Child's classification criteria were derived from the reviewed charts of cirrhotic trauma patients to evaluate their predictive value in cirrhotic trauma. Trauma registry was also used to generate a trauma control group by matching for age, sex, abbreviated injury score (AIS) over the same period of time. The outcome variables compared were mortality rate, time of ICU and hospital stay. Results were expressed as mean ± SD. These data were analyzed by SPSS.11.0 statistical software. Univariate analysis was performed to identify significant medical factors for survivor and non survivors subjected to chi-square test.Fisher's exact test and Student's t test were performed to determine the statistical difference between cirrhotic and control groups. P < 0.05 was considered statistically significant. RESULTS:Poor prognosis of traum patients was associated with one or more of the following findings: ascitcs, hyperbilirubinemia (more than 2 mg/dL), hypoalbuminemia (less than 3.5 mg/dL), and prolonged prothrombin time (more than 12.5 seconds). Although Child's classification was used to predict the outcome in cirrhotic patients undergoing portacaval shunt procedures, no significant difference was found in mortality rate as a function of Child's classification. CONCLUSION:Cirrhosis is associated with a higher mortality, a longer time of ICU and hospital stay of trauma patients. It seems that treatment of trauma patients with pre-existing severe liver disease is a challenge to surgeons.

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Investigation on Road Traffic Safety of the Mountain Areas in Southwest China Based on Wulong County, Chongqing Municipality

Cited by 7 publications

References 1 publication

Risk Factors Affecting Fatal Versus Non-Fatal Road Traffic Accidents: The Case of Kars Province, Turkey

Risk Factors Affecting Fatal Versus Non-Fatal Road Traffic Accidents: The Case of Kars Province, Turkey

Factor analysis of fatal road traffic crashes with massive casualties in China

Pre-existing cirrhosis is associated with increased mortality of traumatic patients: Analysis of cases from a trauma center in East China

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