Analysis on Features of Road Transportation Accidents of Hazardous Materials Based on Data Imputation

2021 ◽  
Author(s):  
Panyi Wei ◽  
Jianling Huang ◽  
Yanyan Chen ◽  
Ronggui Zhou ◽  
Jiyang Sun
Keyword(s):  
Hazardous Materials ◽  
Data Imputation ◽  
Road Transportation

scholarly journals Study on Emergency Response Rank Mode of Flammable and Explosive Hazardous Materials Road Transportation

2012 ◽  
Vol 45 ◽  
pp. 830-835 ◽  
Author(s):  
Changing Ren ◽  
Xiongjun Yuan ◽  
Jie Wang ◽  
Xin Zhang ◽  
Jin Li
Keyword(s):  
Emergency Response ◽  
Hazardous Materials ◽  
Road Transportation

scholarly journals Scope for Developing Accident Causation Model of Road Transportation of Hazardous Materials

IARJSET ◽  
2015 ◽  
Vol 2 (10) ◽  
pp. 57-63
Author(s):  
Ajaya Kumar K ◽  
Tamil Selvan R ◽  
Nehal Siddiqui A ◽  
Ashutosh Gautam
Keyword(s):  
Hazardous Materials ◽  
Road Transportation ◽  
Accident Causation

scholarly journals Causation Analysis of Hazardous Material Road Transportation Accidents Based on the Ordered Logit Regression Model

2020 ◽  
Vol 17 (4) ◽  
pp. 1259 ◽  
Author(s):  
Changxi Ma ◽  
Jibiao Zhou ◽  
Dong Yang
Keyword(s):  
Influence Factors ◽  
Hazardous Materials ◽  
Model Parameters ◽  
Ordered Logit ◽  
Road Transportation ◽  
Hazardous Materials Transportation ◽  
Logit Regression ◽  
Environmental Properties ◽  
The Impact ◽  
Causation Analysis

Understanding the influence factors and related causation of hazardous materials can improve hazardous materials drivers’ safety awareness and help traffic professionals to develop effective countermeasures. This study investigates the statistical distribution characteristics, such as types of hazardous materials transportation accidents, driver properties, vehicle properties, environmental properties, road properties. In total, 343 data regarding hazardous materials accidents were collected from the chemical accident information network of China. An ordered logit regression (OLR) model is proposed to account for the unobserved heterogeneity across observations. Four independent variables, such as hazardous materials drivers’ properties, vehicle properties, environmental properties, and road properties are employed based on the OLR model, an ordered multinomial logistic regression (MLR) is estimated the OLR model parameters. Both parameter estimates and odds ratio (OR) are employed to interpret the impact of influence factors on the severity of hazardous materials accidents. The model estimation results show that 10 factors such as violations, unsafe driving behaviors, vehicle faults, and so on are closely related to accidents severity of hazardous materials transportation. Furthermore, three enforcement countermeasures are proposed to prevent accidents when transporting hazardous materials.

scholarly journals Risk Assessment of Hazmat Road Transportation Considering Environmental Risk under Time-Varying Conditions

2021 ◽  
Vol 18 (18) ◽  
pp. 9780
Author(s):  
Liping Liu ◽  
Qing Wu ◽  
Shuxia Li ◽  
Ying Li ◽  
Tijun Fan
Keyword(s):  
Risk Assessment ◽  
Environmental Pollution ◽  
Environmental Risk ◽  
Hazardous Materials ◽  
Assessment Model ◽  
Population Exposure ◽  
Model Parameters ◽  
Time Varying ◽  
Road Transportation ◽  
Hazardous Materials Transportation

Hazardous materials shipments are integral to the development of industrial countries. Significant casualties and severe environmental pollution quickly ensue when accidents occur. Currently, relevant research on risk assessment of hazardous materials’ road transportation remains limited when both the population exposure risk and environmental risk are considered, especially in regard to analyzing the differences of accident impacts in different populations and environments. This paper adopts a Gaussian plume model to simulate dynamic areas at three levels of population exposure and assesses the pollution scope of air, groundwater, lakes, and rivers with a variety of diffusion models. Then, we utilize various costs to analyze the differences of accident impacts in population exposure and environmental pollution. Finally, a risk assessment model of hazardous materials road transportation under time-varying conditions is presented by considering the bearing capacity of the assessed area. Furthermore, this model is applied to a case study involving a risk assessment of hazardous materials transportation of a highly populated metropolitan area of Shanghai, China. The resulting analyses reveal that the safety of hazardous materials transportation could be effectively improved by controlling certain model parameters and avoiding road segments with a high risk of catastrophic accident consequences.

A Survey on Accidents in the Road Transportation of Hazardous Materials in São Paulo, Brazil, from 1983 to 2015

2019 ◽  
Vol 2673 (2) ◽  
pp. 285-293 ◽  
Author(s):  
Eduardo Cabrini Pompone ◽  
Geraldo Cardoso de Oliveira Neto
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Research Method ◽  
Hazardous Materials ◽  
Sao Paulo ◽  
Descriptive Statistics ◽  
São Paulo ◽  
Road Transportation ◽  
The Road ◽  
Flammable Liquids

A survey on 4,638 accidents in the road transportation of hazardous products in São Paulo, Brazil, between 1983 and 2015 registered by Companhia Ambiental do Estado de São Paulo (CETESB; average of 140.5 accidents per year) was conducted. This study aimed to present the evolution and the recent scenario of accidents involving transportation of hazardous products in a locality in the southern hemisphere. The research method adopted was documentation through data collection in the CETESB database and data analysis through descriptive statistics and f-N curves for societal risk. We concluded that: (i) there is a higher concentration of accidents from 10:00 am to 10:59 am; (ii) there is a coincidence between areas of greater urbanization and industrial vocation with areas with the greater concentration of accidents (Unidades de Gerenciamento de Recursos Hídricos (UGRHI) of Alto Tietê, with 26.5% accidents); (iii) tipping over is the main cause of accidents (33.78%); (iv) flammable liquids are the product most frequently involved in accidents (40.25%); (v) soil is the most impacted element (86% of accidents with impact to some medium); and (vi) the expected value is 36 accident victims per year. Our study highlights the need for continuous improvements in the information system and integration between agents to reduce the number of accidents of this type.

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