The Effect of Drivers' Demographic Characteristics on Road Accidents in Different Seasons Using Data Mining

Shokohyar, Sajjad; Taati, Ehsan; Zolfaghari, Sara

doi:10.7307/ptt.v29i6.2342

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…Similarly, the mean annual fatality rate (per 100,000 people) for the study area was 25.6, which is near to the overall fatality ratio of 27.4 for the entire KSA, and higher than 17.4, a value presently prevailing for the globe [3]. Mean fatality rate for the Eastern Province, and the entire KSA is ranked third among twenty Eastern Mediterranean countries, marginally above Libya and Iran in the region [70]. Likewise, the fatality rate for the Eastern Province is substantially higher than neighboring Gulf states [66,71,72], India [73], China [74], the United States, the United Kingdom, Canada, Australia [75], and other Asian countries [76].…”

Section: Discussionmentioning

confidence: 88%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed.

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Section: Discussionmentioning

confidence: 88%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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show abstract

“…Many studies have analysed various data mining technologies to get the most useful objectives from accident data (Gupta, Solanki, & Singh, 2017;Li, Shrestha, & Hu, 2017;Shokohyar, Taati, & Zolfaghari, 2017). Data clustering technique and association rule mining were used to get valuable information from heterogeneous accident data (Kumar & Toshniwal, 2015).…”

Section: Methodsmentioning

confidence: 99%

Investigation of Factors That Have Affected the Outcomes of Road Traffic Accidents on Lithuanian Roads

Leonavičienė

Pukalskas

Pumputis

et al. 2020

BJRBE

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The purpose of this paper is to analyse the possibility for predicting the outcome of a road traffic accident concerning the traffic environment, personal traits of the traffic participant and the vehicle, i.e. aiming to answer the question whether specific values of the factors analysed to increase the likelihood of a fatal accident. The logistic regression model that allows identifying the relationship between the dependent and independent variables were used in the research. Other methods for describing and analysing categorical variables were also used alongside the logistic regression. When analysing the results, it was recognised that the odds ratio above 1 shows a higher likelihood for a representative of the category in question to be involved in a fatal accident compared to a representative of the base category. Odds ratios of likelihoods for calculation of the road traffic accident types show that the likelihood of a fatal accident is statistically significant affected by rollovers or driving into obstacles, compared to vehicular collisions. When summarising the results, it was stated that most of the factors researched have an impact on the outcome of a road traffic accident. The influence of some factors has a higher probability of resulting in a fatal accident as compared to other factors.

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“…Moreover, Moghadas et al ( 2019 ) stated that sharing knowledge such as issues, incidents and near misses promotes a culture of trust and attention. SCM definition is to plan, carry out, oversee, improve and optimally integrate SC affairs (Shokouyar et al, 2017 ). Measuring and assessing process Performance knowledge leads to improved performance and decreased manufacturing costs (Wu, 2012 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

2023

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The knowledge sharing creates a collaborative environment which contributes to creation of flexibility and meeting demands in supply chain. It guarantees the access of members to external knowledge and overall supply chain improvement in competitive environment. The steel industry as the second “key” and “strategic” industry after oil and petrochemical industry in Iran as one of the important countries in middle-east and due to its importance for development but also due to the characteristics of its cost accounting system is selected as case study. Regarding to, this study aimed to design a comprehensive list containing all knowledge sharing (KS) motivational factors for steel industries supply chain. Thus, a mixed method of qualitative (a three-phase Delphi method) and quantitative (decision-making trial and evaluation laboratory-DEMATEL) has been adopted. At first stage, the 33 motivational factors of KS were identified through literature review. Then using Delphi method, respondents were provided with the findings from the literature to shortlist and merge the factors based on steel industry supply chain features. Due to different theoretical and practical standpoints of views about KS motivators in steel industry supply chain, 30 respondents (experts) participated. The final factors extracted via Delphi method was 15. Then, DEMATEL method was used to find interdependence among factors. At the end, cost accounting system for each factor were asked from knowledge management departments in steel supply chain. The results indicated that majority of the costs in steel industry supply chain is spent in decreasing power and sense of ownership of knowledge, improving culture and expectations, and improving personal contact and interaction, team culture, rewards, strategic thinking, and individual management of time, respectively. Whereas, the results of DEMATEL technique indicated that team culture, power, and sense of ownership of knowledge; personal contact and interaction; trust; culture; and expectations are the 5th high ranking factors. Although there are plenty of techniques used for improving team culture such as community of practice, after action review, Knowledge caf’e, it is not so dominant in cost accounting system. Hopefully, departments consider power and sense of ownership of knowledge more carefully. Managers in steel supply chain pay more attention to cultural issues by having educational courses. Strategic thinking is not among the highest-ranking factors, but there are costs spent for it in steel supply chain which should be pondered upon it.

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The Effect of Drivers' Demographic Characteristics on Road Accidents in Different Seasons Using Data Mining

Abstract: ABSTRACT

Cited by 10 publications

References 11 publications

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Investigation of Factors That Have Affected the Outcomes of Road Traffic Accidents on Lithuanian Roads

Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis

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