Performance-Based Task Appointment Model in Urban Public Transportation: The Case of IETT

Abstract

Provision of quality services in urban public transportation has become a significant field of research to be analysed separately, particularly for metropolitan cities where population and other components of traffic are rapidly increasing. Quality of public transportation operators can be figured out with the help of various parameters. Among those, human resources undoubtedly have a significant role. Fulfilment of operators’ strategic aims and targets is in direct proportion to performance and satisfaction of employees.

With an innovative approach, this study aims to suppose a new, performance-based task assignment model that grounds on the target to achieve a fair work distribution by analysing General Directorate of IETT’s current “task assignment process for drivers”, which manages urban public transportation of Istanbul Metropolitan City. This model identifies specific performance indicators and gives points to the drivers according to competency. New software has been developed with an algorithm to allow drivers to choose the routes they will work on, depending on their competency points. With 184 drivers, 22 routes and 135 buses, IETT Sarigazi Bus Terminal has been chosen as the pilot area of this new idea of “self-appointment”.