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

Ma, Changxi; Zhou, Jibiao; Yang, Dong

doi:10.3390/ijerph17041259

Cited by 42 publications

(39 citation statements)

References 49 publications

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“…It was concluded that the causes, location, types, time of occurrence, hazard class for materials involved, and consequences were determined. Recently, Ma et al [17] investigated causation analysis of Hazmat transportation accidents based on ordered logit regression model. The results gave ten significant factors related to accident severity.…”

Section: Literature Reviewmentioning

confidence: 99%

Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm

Liu

2020

IET intell. transp. syst

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This paper takes the vehicles scheduling of hazardous materials as the research object. First, considered the four objectives of risk minimization, cost minimization, risk equilibrium value minimization, and duration minimization, the vehicles robust scheduling of hazardous materials in multiple distribution centers with risk balance is constructed. Then, uncertain models are transformed into peer-to-peer models through the idea of robust discrete optimization. By introducing the crossover and mutation operators of genetic algorithm into particle swarm algorithm, a hybrid particle swarm algorithm is constructed, and three-stage coding rules are adopted. Finally, case study is exemplified to prove the feasibility of the model and algorithm. The results show that the obtained scheduling scheme for the vehicles of hazardous materials minimizes the risk value and makes the risk distribution more balanced for the government regulatory department, and the vehicle can avoid certain road sections with relatively large risk values. For transportation enterprises, the vehicle scheduling scheme for transporting hazardous materials minimizes the cost and shortens the task duration at the same time. In the case of risk uncertainty, different robust control parameters are introduced to make the vehicles robust scheduling of hazardous materials have different degrees of stability.

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Section: Literature Reviewmentioning

confidence: 99%

Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm

Liu

2020

IET intell. transp. syst

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“…Many methods for analyzing the relationships among the causes that may lead to accidents and the corresponding possible consequences are available, which can be categorized as statistic regression models (i.e., multivariate regression and multinomial logit) [1,[14][15][16][17][18] and machine learning methods (typical as Bayesian network and decision tree) [19][20][21][22][23]. Desai et al [1] presented a sequence of statistical models (i.e., partial least squares, spline regression, and Box-Cox transformations) to estimate the population affected and the impact of the cost incurred as a result of hazmat accidents.…”

Section: Cause-consequence Analysismentioning

confidence: 99%

Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management

Zhou

Guo

Cui

et al. 2020

IJERPH

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The accidents caused by hazardous material during road transportation may result in catastrophic losses of lives and economics, as well as damages to the environment. Regarding the deficiencies in the information systems of hazmat transportation accidents, this study conducts a survey of 371 accidents with consequence Levels II to V involving road transportation in China from 2004–2018. The study proposes a comprehensive analysis framework for understanding the overall status associated with key factors of hazmat transportation in terms of characteristics, cause, and severity. By incorporating the adaptive data analysis techniques and tackling uncertainty, the preventative measures can be carried out for supporting safety management in hazmat transportation. Thus, this study firstly analyzed spatial–temporal trends to understand the major characteristics of hazmat transportation accidents. Secondly, it presented a quantitative description of the relation among the hazmat properties, accident characteristics, and the consequences of the accidents using the decision tree approach. Thirdly, an enhanced F-N curve-based analysis method that can describe the relationship between cumulative probability F and number of deaths N, was proposed under the power-law distribution and applied to several practical data sets for severity analysis. It can evaluate accident severity of hazmat material by road transportation while taking into account uncertainty in terms of data sources. Through the introduction of the as low as reasonably practicable (ALARP) principle for determining acceptable and tolerable levels, it is indicated that the F-N curves are above the tolerable line for most hazmat accident scenarios. The findings can provide an empirically supported theoretical basis for the decision-makers to take action to reduce accident frequencies and risks for effective hazmat transportation management.

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“…Statistical analysis is used to determine the characteristics of accidents and to pave the way for accident prevention [ 10 ]. Statistical analyses of fatal accidents have been conducted in other hazardous industries, such as the mining [ 11 ], automotive [ 12 ], and chemical industries [ 13 ]. Dursun analyzed explosion-related accidents in Turkish coal mines caused by methane gas from 2010 to 2017 [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…The results showed that mortality from gas explosion accidents accounted for 68.34% of all fatal accidents. Using 343 cases, Ma et al analyzed the influence of road characteristics on accidents in China [ 12 ]. Jung et al investigated the main causes of chemical accidents in South Korea from 2008 to 2018 [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data

2021

IJERPH

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Background: Construction activities not only provide the necessary conditions for citizens to live, but also cause fatal accidents. Methods: This study aimed to reveal the characteristics of fatal accidents in the construction industry in China based on statistical data. From 2010 to 2019, there were 6005 fatal accidents in China’s construction industry causing 7275 deaths. The important features of these fatal accidents, such as the type, time of occurrence, site location, severity, and geographical region of the accident, were carefully analyzed. Results: There were 258 major and severe construction accidents causing 1037 deaths, accounting for 4.3% and 14.25% of the total number of construction accidents and deaths in this period, respectively. As an important finding, more deaths occurred in August and on Mondays. The greatest number of construction accidents took place along openings and edges, accounting for 22.9% of all fatal accidents. Taking into account their economic development level and number of employees, Qinghai and Hainan experienced a higher mortality rate than Jiangsu. Falls from a high place were the dominant type of construction accident, accounting for 51.66% of all accidents. However, collapses were the primary type of major and severe construction accident, accounting for 60.09% of such accidents. The predicted number of construction deaths in 2020 is 887 according to the GM(1,1) model. Corresponding safety measures should be adopted to improve the working environment of the construction industry. Implications: The implications of these results with respect to the characteristics of construction accidents can be regarded as the foundation for accident prevention in practice.

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

Cited by 42 publications

References 49 publications

Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm

Vehicles robust scheduling of hazardous materials based on hybrid particle swarm optimisation and genetic algorithm

Characteristics, Cause, and Severity Analysis for Hazmat Transportation Risk Management

Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data

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