Overloading Among Crash-Involved Vehicles in China: Identification of Factors Associated with Overloading and Crash Severity

2021 ◽  
pp. 95-120
Author(s):  
Guangnan Zhang ◽  
Yanyan Li ◽  
Mark J. King ◽  
Qiaoting Zhong
Keyword(s):  
Crash Severity ◽  
Factors Associated

scholarly journals Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

2020 ◽  
Author(s):  
Yalong Yuan ◽  
Min Yang ◽  
Yanyong Guo ◽  
Soora Rasouli ◽  
Zuoxian Gan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Truck Drivers ◽  
Crash Severity ◽  
Factors Associated ◽  
Fatal Crash

Risk Factors Associated with Crash Severity on Low-Volume Rural Roads in Denmark

2013 ◽  
Vol 6 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Carlo Giacomo Prato ◽  
Thomas Kjær Rasmussen ◽  
Sigal Kaplan
Keyword(s):  
Risk Factors ◽  
Crash Severity ◽  
Rural Roads ◽  
Factors Associated ◽  
Low Volume

Exploring factors associated with crash severity on motorways in Pakistan

2019 ◽  
pp. 1-10 ◽  
Author(s):  
Numan Ahmad ◽  
Anwaar Ahmed ◽  
Behram Wali ◽  
Tariq Usman Saeed
Keyword(s):  
Crash Severity ◽  
Factors Associated

scholarly journals Bus Crash Severity in Hanoi, Vietnam

Safety ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 65
Author(s):  
Thanh Chuong Nguyen ◽  
Minh Hieu Nguyen ◽  
Jimmy Armoogum ◽  
Thanh Tung Ha
Keyword(s):  
Developing Countries ◽  
Urban Areas ◽  
Traffic Density ◽  
Crash Severity ◽  
Policy Recommendations ◽  
Physical Barrier ◽  
Factors Associated ◽  
Ordered Logit Model ◽  
Wide Range ◽  
Bus Service

Recently, there has been an increasing interest in targeting the safety of bus operations worldwide; however, little is known about the determinants of the bus crash severity in developing countries. By estimating an ordered logit model using the bus-involved collision data in Hanoi (Vietnam), spanning the period from 2015 to 2019, this study investigates various factors associated with the crash severity. The results reveal that the severity risk increases for (1) large buses, (2) raining conditions, (3) evening or night, (4) sparse traffic, (5) non-urban areas, (6) roads with at least three lanes, (7) curved roads, (8) two-way roads without a physical barrier, (9) head-on collision, and (10) pedestrian-related crashes. Aside from confirming the crucial roles of a wide range of factors, this research has examined the effects of two determinants (traffic density and crash area) that have not been considered for the cases of developing countries previously. Based on the findings on the impacts of factors, a series of policy recommendations regarding improving road conditions in non-urban areas, promoting walking infrastructure, reminders of high-risk situations for drivers, safety notes when improving bus service quality, and recording bus-related crashes are proposed.

Overloading among crash-involved vehicles in China: identification of factors associated with overloading and crash severity

2018 ◽  
Vol 25 (1) ◽  
pp. 36-46 ◽  
Author(s):  
Guangnan Zhang ◽  
Yanyan Li ◽  
Mark J King ◽  
Qiaoting Zhong
Keyword(s):  
Risk Factors ◽  
Motor Vehicle ◽  
Logistic Models ◽  
Guangdong Province ◽  
Motor Vehicles ◽  
Future Research ◽  
Crash Severity ◽  
Vehicle Crashes ◽  
Traffic Crash ◽  
Factors Associated

ObjectiveMotor vehicle overloading is correlated with the possibility of road crash occurrence and severity. Although overloading of motor vehicles is pervasive in developing nations, few empirical analyses have been performed on factors that might influence the occurrence of overloading. This study aims to address this shortcoming by seeking evidence from several years of crash data from Guangdong province, China.MethodsData on overloading and other factors are extracted for crash-involved vehicles from traffic crash records for 2006–2010 provided by the Traffic Management Bureau in Guangdong province. Logistic regression is applied to identify risk factors for overloading in crash-involved vehicles and within these crashes to identify factors contributing to greater crash severity. Driver, vehicle, road and environmental characteristics and violation types are considered in the regression models. In addition to the basic logistic models, association analysis is employed to identify the potential interactions among different risk factors during fitting the logistic models of overloading and severity.ResultsCrash-involved vehicles driven by males from rural households and in an unsafe condition are more likely to be overloaded and to be involved in higher severity overloaded vehicle crashes. If overloaded vehicles speed, the risk of severe traffic crash casualties increases. Young drivers (aged under 25 years) in mountainous areas are more likely to be involved in higher severity overloaded vehicle crashes.ConclusionsThis study identifies several factors associated with overloading in crash-involved vehicles and with higher severity overloading crashes and provides an important reference for future research on those specific risk factors.

scholarly journals Factors associated with crash severity on rural roadways in Wyoming

2016 ◽  
Vol 3 (4) ◽  
pp. 308-323 ◽  
Author(s):  
Debbie S. Shinstine ◽  
Shaun S. Wulff ◽  
Khaled Ksaibati
Keyword(s):  
Crash Severity ◽  
Factors Associated

Stain contamination and embedding in electron microscopy

1986 ◽  
Vol 44 ◽  
pp. 50-53
Author(s):  
Hilton H. Mollenhauer
Keyword(s):  
Electron Microscopy ◽  
Information Retrieval ◽  
Epoxy Resins ◽  
Image Contrast ◽  
Sample Preservation ◽  
Factors Associated ◽  
Amount Of Information ◽  
Electron Microscopical ◽  
Contrast Information

Many factors (e.g., resolution of microscope, type of tissue, and preparation of sample) affect electron microscopical images and alter the amount of information that can be retrieved from a specimen. Of interest in this report are those factors associated with the evaluation of epoxy embedded tissues. In this context, informational retrieval is dependant, in part, on the ability to “see” sample detail (e.g., contrast) and, in part, on tue quality of sample preservation. Two aspects of this problem will be discussed: 1) epoxy resins and their effect on image contrast, information retrieval, and sample preservation; and 2) the interaction between some stains commonly used for enhancing contrast and information retrieval.

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