The aim of this paper is to determine risk factors affecting the fatal versus non-fatal accidents in a rural region of Turkey, during 2008-2012, considering variables associated with the individual, the environment, and the motor vehicle. A retrospective study was conducted by obtaining the data from the traffic police road accident reports between 2008 and 2012. A stepwise logistic regression analysis was performed to analyze the data and critical factors that contributed significantly to fatal versus non-fatal traffic accidents. The results revealed that the driver's age (OR = 1.09; 90% CI = 1.05-1.14), clear weather (OR = 0.11; 90% CI = 0.02-0.65), winter season (OR = 0.16; 90% CI = 0.03-0.75), straight (OR = 0.22; 90% CI = 0.05-0.91) or slight road curve/bend (OR = 0.17; 90% CI = 0.04-0.83), the driver's education (OR = 0.18; 90% CI = 0.04-0.85) and the purpose of the vehicle (OR = 0.20; 90% CI = 0.04-0.94) were the significant factors affecting road traffic accidents over the sample period.

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In this study, Multi-Criteria Decision Making ( MCDA ) method of Analytical Hierarchy Process (AHP) and Grey Incidence Analysis, (GIA) activity in the staff evaluation process and the method was investigated. In this context, it mentioned the basic principles of the methods used in the theoretical part of the study, Employees at a manufacturing company operating in the furniture sector in the implementation of the evaluation work is carried out. Blue-collar workers in the past year while business in evaluation for staff. Before AHP process with the evaluation criteria set weights, then staff with TIA method Staffing levels were measured and listed.

This study aims to compare the statistical powers of the Kolmogorov-Smirnov two-sample test and the Mann-Whitney test using the Monte Carlo simulation method, for specific sample sizes. The simulation results showed that the Mann-Whitney Test was more powerful for (5, 10) and (10, 5) sample sizes when the standard deviation rates were 2 and 1/2; for the (5, 20) sample size when the standard deviation rates were 2, 3, and 1/2; and for the (20, 5) sample size when the standard deviation rates were 1/2, 1/3, and 1/4. The Kolmogorov-Smirnov two-sample test was more powerful for (5, 10) and (10, 5) sample sizes when standard deviation rates were 3, 4, and 1/4; for the (10, 20) sample size for all standard deviation rates; for the (20, 10) sample size excepting the standard deviation of 1/2; and for the (20, 5) sample size when standard deviations were 2, 3, and 4.

The main objective of this paper is to analyse user satisfaction with road, maritime, air, and rail transport services in Turkey using four distinctive ordered response models. The estimation results reveal that partial constrained generalized ordered logit model has the best model fit for road and maritime transport services. In addition, ordered logit and generalized ordered logit are the convenient models for air and rail transport services, respectively. Results also indicate that current residence (urban), gender (male), occupational sector (private), and education level (low educated) were the statistically significant variables that are more likely to increase user satisfaction. This paper is probably the first attempt to analyse user satisfaction with all transport services using comparative ordered response models. As a social indicator, the results of this study may provide a valuable evidence for future sustainable transport policies in Turkey.