scholarly journals Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety

2019 ◽  
Vol 11 (11) ◽  
pp. 3142 ◽  
Author(s):  
Danish Farooq ◽  
Sarbast Moslem ◽  
Szabolcs Duleba

Driver behavior has been considered as the most influential factor in reducing fatal road accidents and the resulting injuries. Thus, it is important to focus on the significance of driver behavior criteria to solve road safety issues for a sustainable traffic system. The recent study aims to enumerate the most significant driver behavior factors which have a critical impact on road safety. The well-proven Analytic Hierarchy Process (AHP) has been applied for 20 examined driver behavior factors in a three-level hierarchical structure. Linguistic judgment data have been collected from three nominated evaluator groups in order to detect the difference of responses on perceived road safety issues. The comparison scales had been averaged prior to computing the weights of driver behavior factors. The AHP ranking results have revealed that most of the drivers are most concerned about the “Errors”, followed by the “Lapses” for the first level. The highest influential sub-criteria for the second level is the “Aggressive violations” and for the third level, the “Drive with alcohol use”. Kendall’s rank correlation has also been applied to detect the agreement degree among the evaluator groups for each level in the hierarchical structure. The estimated results indicate that road management authorities should focus on high-rank significant driver behavior criteria to solve road safety issues for sustainable traffic safety.

Author(s):  
Danish Farooq ◽  
Sarbast Moslem ◽  
Rana Faisal Tufail ◽  
Omid Ghorbanzadeh ◽  
Szabolcs Duleba ◽  
...  

Driver behavior has been considered as the most critical and uncertain criteria in the study of traffic safety issues. Driver behavior identification and categorization by using the Fuzzy Analytic Hierarchy Process (FAHP) can overcome the uncertainty of driver behavior by capturing the ambiguity of driver thinking style. The main goal of this paper is to examine the significant driver behavior criteria that influence traffic safety for different traffic cultures such as Hungary, Turkey, Pakistan and China. The study utilized the FAHP framework to compare and quantify the driver behavior criteria designed on a three-level hierarchical structure. The FAHP procedure computed the weight factors and ranked the significant driver behavior criteria based on pairwise comparisons (PCs) of driver’s responses on the Driver Behavior Questionnaire (DBQ). The study results observed “violations” as the most significant driver behavior criteria for level 1 by all nominated regions except Hungary. While for level 2, “aggressive violations” is observed as the most significant driver behavior criteria by all regions except Turkey. Moreover, for level 3, Hungary and Turkey drivers evaluated the “drive with alcohol use” as the most significant driver behavior criteria. While Pakistan and China drivers evaluated the “fail to yield pedestrian” as the most significant driver behavior criteria. Finally, Kendall’s agreement test was performed to measure the agreement degree between observed groups for each level in a hierarchical structure. The methodology applied can be easily transferable to other study areas and our results in this study can be helpful for the drivers of each region to focus on highlighted significant driver behavior criteria to reduce fatal and seriously injured traffic accidents.


Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 243 ◽  
Author(s):  
Sarbast Moslem ◽  
Danish Farooq ◽  
Omid Ghorbanzadeh ◽  
Thomas Blaschke

The use of driver behavior has been considered a complex way to solve road safety complications. Car drivers are usually involved in various risky driving factors which lead to accidents where people are fatally or seriously injured. The present study aims to dissect and rank the significant driver behavior factors related to road safety by applying an integrated multi-criteria decision-making (MCDM) model, which is structured as a hierarchy with at least one 5 × 5 (or bigger) pairwise comparison matrix (PCM). A real-world, complex decision-making problem was selected to evaluate the possible application of the proposed model (driver behavior preferences related to road safety problems). The application of the analytic hierarchy process (AHP) alone, by precluding layman participants, might cause a loss of reliable information in the case of the decision-making systems with big PCMs. Evading this tricky issue, we used the Best Worst Method (BWM) to make the layman’s evaluator task easier and timesaving. Therefore, the AHP-BWM model was found to be a suitable integration to evaluate risky driver behavior factors within a designed three-level hierarchical structure. The model results found the most significant driver behavior factors that influence road safety for each level, based on evaluator responses on the driver behavior questionnaire (DBQ). Moreover, the output vector of weights in the integrated model is more consistent, with results for 5 × 5 PCMs or bigger. The proposed AHP-BWM model can be used for PCMs with scientific data organized by traditional means.


2019 ◽  
Vol 48 (2) ◽  
pp. 189-195 ◽  
Author(s):  
Danish Farooq ◽  
Sarbast Moslem

Human behavior has been considered as a key factor in road safety. Mostly drivers involve in risky behaviors that cause road safety issues. The identification and categorization of risky driver behavior factors is very important to solve road safety issues. This study aims to evaluate and rank the most significant driver behavior factors related to road safety using multi criteria decision making applications. Driver Behavior Questionnaire (DBQ) was designed based on Saaty scale by considering the important risky driver behavior factors related to road safety. Twenty experts of transportation engineering department having high driving experience were asked to fill the dynamic questionnaire survey. The analytic network process (ANP) was applied based on pairwise comparisons of driver responses to rank the risky driver behavior factors. Network model results were used to differentiate more significant and less significant risky driving behavior factors based on measured criteria on perceived road safety issues. The analysis results revealed that "driving without alcohol use" was the most significant factor and "obeying speed limits" was the least significant factor for road safety as compared to other factors. The high rank risky driver behavior factors should be more focused to solve road safety issues.


Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 64
Author(s):  
Cheng-An Tsai ◽  
Tien-Hwa Ho ◽  
Jyh-Shyan Lin ◽  
Chien-Chih Tu ◽  
Che-Wei Chang

The COVID-19 pandemic has severely affected the world’s manufacturing industry, particularly in terms of the continued increase in logistics costs that has led to an increase in business operating costs. This study proposes a two-stage model for evaluating the most appropriate outsourcing logistics companies for a manufacturing factory. In the first stage, a modified Delphi method was used to recruit experienced experts to determine criteria for evaluating outsourcing logistics vendors and establish a hierarchical structure. In the second stage, the analytic hierarchy process (AHP) was used to evaluate suitable logistics companies based on the hierarchical structure. Finally, a case study was conducted to demonstrate the suitability of the two-stage model for evaluating outsourcing logistics companies for reducing logistics costs while maintaining service quality. The proposed model can be used as a basis for evaluating outsourcing logistics companies.


2020 ◽  
Vol 80 (ET.2020) ◽  
pp. 1-18 ◽  
Author(s):  
Danish Farooq

Driver behavior is considered as one of the most influential factors on road safety. Most of the drivers on road involve in risky driving attitudes which cause fatal and seriously injured road accidents. This study aims to evaluate and compare the risky driver behavior factors that influence road safety based on drivers age and driving experience for Budapest and Islamabad. To achieve this, the study utilized the well-proved driver behavior questionnaire (DBQ) designed on a three-point scale to analyse statistically the driver behavior responses on perceived road safety issues. The study overall results found that drivers with age group ‘18-21 year’ and drivers with driving experience less than one year are more likely to involve in risky driver behavior factors as compared to other studied groups. Furthermore, the Budapest drivers with age group ‘18-21 year’ and driving experience less than one year are more concerned in risky driver behavior factors such as ‘disregard speed limit’, ‘failing to use personal intelligent assistant’ and ‘frequently changing lanes’. While Islamabad drivers with the same demographic characteristics are more concerned in several risky driver behavior factors as compared to other age and driving experience groups. Moreover, ANOVA analysis was run to measure the statistical significance of risky driver behavior factors between designated groups of drivers. Finally, relative risk (RR) was measured to compare that how much times one driver group is more likely to involve in risky driver behavior factors as compared to the other driver group in the sample. The study highlighted the most frequent risky driver behavior factors for each observed group to help the local policymakers to solve related road safety issues.


2022 ◽  
Vol 355 ◽  
pp. 02026
Author(s):  
Xuanhang Wang ◽  
Zhijian Liang

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.


Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 336-343 ◽  
Author(s):  
Aivis Grīslis

The aim of this paper is to explore the relationship between the features of Longer Combination Vehicles (LCVs) and road safety issues. LCVs are road vehicles that exceed dimensions of a typical or standard heavy truck‐trailer or tractor‐semitrailer combination vehicles in length or length and weight. The systematization of LCVs is done. Several areas, which are likely to benefit through LCVs, are listed and described. The analysis of literature review is made in the areas where additional problems may be encountered using LCVs. Several engineering factors such as resistance to rollover, swept‐path parameters, vehicle capabilities of accelerating and maintaining speed as well as braking performance are analyzed. Several research projects on traffic accident analysis have been looked through to compare their conclusions about traffic safety of LCVs. The analysis of discussions related to LCVs traffic safety issues is provided. Some transportation experts and community groups have conflicting views about road safety issues of LCVs. The opinions and related arguments of both parties are discussed in this paper. Several technical improvements in designing LCVs and the importance of driver training programs are described.


Author(s):  
Igor Vasil'evich Anokhov ◽  

Ever changing environment brings to light the need to create the appropriate hierarchical management structure maintaining efficient and sustainable firm’s performance. The scholars become more focused on the importance of the non-formal rules determining the nature of the intra-firm relations. This article attempts to justify theoretically the applicability of the feudalism categories to the analysis of the hierarchical management structure in the modern industrial enterprise, as well as to define the ways to overcome the negative implications of the intra-firm feudalism. Methodologically, the research is based on the provisions of the A.A. Bogdanov’s general organizations science. The article justifies the in-house system of relationships, which, in fact, correlates with the fundamental characteristics of the feudal relationships. This system of non-formal relations affects the approved managerial decisions, determines the nature and goals of the structural units of the industrial enterprise. It is shown that the nature of these non-formal relationships shapes the long-term resilience of the firm. The article looks at how the in-house departments obtain the elements of quasi-feudal power by controlling the functional levels of the firm – physical (control over the main assets), distribution (control over the material, labor, and energy resources), economic (impact on the cash flows), and design and technological (impact on the strategic development and firm’s technologies). The main reason for the intra-firm feudalism is the difference in opinions among the top managers of the firms and its employees, which, in its turn, is caused by different assets circulation periods – the main means of manufacturing and labor. It is claimed that information asymmetry inherent to the hierarchical structure is the indispensable condition for the intra-firm feudalism. In-house feudalization amplifies when a particular employee and its department acquire specific capital, including experience, knowledge about the manufacturing technologies, ties with colleagues and outside subjects, etc. It is justified that economy digitalization changes the composition and the structure of the feudal lords’ powers, while the scales of intra-firm feudalism manifestations do not change. To counteract the firm’s feudalization, the article proposes measures, including dismissal of the feudal lords and destruction of feuds, delegation of the design and technological powers from the feudal lords to the personnel, blurring the feudal lords’ powers, changing the business conditions for feuds, changes of the hierarchical structure in the firm. It is noted that the intra-firm feudalism can be restrained by setting up a new intra-firm unit – General Council of Employees empowered with design and technological rights with the level inversely proportional to the intra-firm feudal lords’ power level. Therefore, higher level of powers given to the firm’s employees will restrain the powers of the intra-firm feudal lords. Further research is seen to be connected with the assessment of the hypothesis concerning the development of the intra-firm feudalism in particular industrial enterprises.


2014 ◽  
Vol 60 (4) ◽  
pp. 453-474 ◽  
Author(s):  
S. Cafiso ◽  
M. Kieć ◽  
M. Milazzo ◽  
G. Pappalardo ◽  
F. Trovato

AbstractIn the paper methods for conducting Road Safety Inspections (SIs) in Italy and Poland are described and compared. The goal of the study is to improve the quality and efficiency of the safety inspections of road network by using low cost equipment (GPS, Tablet, Camera) and specific software. Particular attention was paid to the need for proper calibration of factors, causing traffic safety hazard associated with road infrastructure. The model developed according to the Italian procedures was adapted to comply with the checklists and evaluation criteria of the Polish guidelines. Overall, a good agreement between the two approaches was identified, however some modification was required to include new safety issues, characteristic for the Polish network for safety inspection of two lane rural roads. To test the applicability about 100 km of regional two lane roads in Poland were inspected with Polish and Italian procedures.


2012 ◽  
Vol 424-425 ◽  
pp. 119-122
Author(s):  
Yu Ran Jin ◽  
Yan Yan Zou ◽  
Ya Dong Wang ◽  
Shan Gao

To solve the problem of partnership choice for iron and steel logistics alliance, a method to choose cooperative partners based on Analytic Hierarchy Process and Fuzzy Synthetic Evaluation was proposed. AHP was used to construct the hierarchical structure of partner evaluating indicator and determine the corresponding weight. Fuzzy Synthetic Evaluation was adopted to assess and choose partners. For verifying the method, a logistics company was analyzed as an example. The results show that this method may reduce the influence of subjective factors on the partner choice, enhance the accuracy and reliability of partner choice, and strengthen the competitiveness of iron and steel logistics alliance.


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