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Analysis of taxi service organizing and regulation for Baku city

Vailiyev Vilayat, Dashdamirov Fuad, Gurbanov Azer, Ismayilova Aynura

Zeszyty Naukowe. Transport / Politechnika Śląska

2023

z. 118

229--242

With the expansion of the use of digital technologies, the nature of almost all service industries has changed. Taxi services are no exception. The use of mobile applications, and the creation of call centres, have simplified the access of passengers to taxis and created a new situation. Despite this, with the emergence of a new situation, new problems appeared. This article aims to study taxi services organization and regulation. Thus, surveys were conducted to study attitudes towards offered services for passengers and drivers, the main participants in the taxi market. The questionnaires are aimed at studying the satisfaction of passengers and the attitude of drivers to working conditions. The total weight of using a taxi in comparison with other types of urban transport is determined. The frequency and main reasons for requests for taxi services were identified. This paper also studied the degree of use of mobile applications for calling a taxi and the distribution of orders between taxi companies. Surveys among drivers were mainly aimed at studying the mode of their work and their attitude to the conditions offered by taxi companies. To solve the identified problems, an appropriate regulation method through a single digital platform was proposed.

Cognitive Failures, Driving Errors and Driving Accidents

Allahyari T., Saraji G. N., Adl J., Hosseini M., Iravani M., Younesian M., Kass S. J.

International Journal of Occupational Safety and Ergonomics

2008

Vol. 14, No. 2

149--158

Introduction. The impact of a driver’s cognitive capability on traffic safety has not been adequately studied. This study examined the relationship between cognitive failures, driving errors and accident data. Method. Professional drivers from Iran (160 males, ages 18–65) participated in this study. The cognitive failures questionnaire (CFQ) and the driver error questionnaire were administered. The participants were also asked other questions about personal driving information. A principal component analysis with varimax rotation was performed to determine the factor structure of the CFQ. Poisson regression models were developed to predict driving errors and accidents from total CFQ scores and the extracted factors. Results. Total CFQ scores were associated with driving error rates, but not with accidents. However, the 2 extracted factors suggested an increased effect on accidents and were strongly associated with driving errors. Discussion. Although the CFQ was not able to predict driving accidents, it could be used to identify drivers susceptible to driving errors. Further development of a driving-oriented cognitive failure scale is recommended to help identify error prone drivers. Such a scale may be beneficial to licensing authorities or for developing driver selection and training procedures for organizations.