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This study examined service quality and passengers’ loyalty of public transportation companies. It was carried out to determine the effects of passengers’ safety, passengers’ comfort, drivers’ competence, travel time and vehicle cleanliness on passengers’ loyalty of public transportation companies. The study adopted cross-sectional survey research design. Primary data were obtained from 228 passengers of public road transportation companies using an adapted structured questionnaire. Data analysis was done using descriptive statistics while multiple linear regression was adopted to test the hypotheses of the study with the aid of the Statistical Package for the Social Sciences (SPSS 23) software. The findings of the study revealed that passengers’ safety, passengers’ comfort, drivers’ competence and vehicle cleanliness had significant positive effects on passengers’ loyalty of public transportation companies, while travel time had a non-significant effect on passengers’ loyalty in this regard. Therefore, the study concluded that, to a large extent, service quality has a significant positive influence on passengers’ loyalty of public transportation companies. Practical implications and suggestions for further studies were made consequently.

Purpose: To develop and evaluate a practical phase unwrapping method for real-time phase-contrast flow MRI using temporal and spatial continuity. Methods: Real-time phase-contrast MRI of through-plane flow was performed using highly undersampled radial FLASH with phase-sensitive reconstructions by regularized nonlinear inversion. Experiments involved flow in a phantom and the human aorta (10 healthy subjects) with and without phase wrapping for velocity encodings of 100 cm.s(-1) and 200 cm.s(-1). Phase unwrapping was performed for each individual cardiac cycle and restricted to a region of interest automatically propagated to all time frames. The algorithm exploited temporal continuity in forward and backward direction for all pixels with a "continuous" representation of blood throughout the entire cardiac cycle (inner vessel lumen). Phase inconsistencies were corrected by a comparison with values from direct spatial neighbors. The latter approach was also applied to pixels exhibiting a discontinuous signal intensity time course due to movement-induced spatial displacements (peripheral vessel zone). Results: Phantom and human flow MRI data were successfully unwrapped. When halving the velocity encoding, the velocity-to-noise ratio (VNR) increased by a factor of two. Conclusion: The proposed phase unwrapping method for real-time flow MRI allows for measurements with reduced velocity encoding and increased VNR.