Analysis of public transportation for efficiency

Abstract

Transit authorities have been searching for the indicators to measure transit service quality and the key factors to attract citizens who do not prefer public transport. The recent advent of data collection technologies such as AVL, APC, GPS and Smart Card (SC) promise opportunities for conducting comprehensive transit system performance measures, improving the quality of service while meeting passenger needs and reducing operation costs. The aim of this study is to propose metrics to improve transit service. The focus is on bus transportation since it is more flexible compared to rail transportation and widely preferred by the masses in cities. The primary data source of this study comes from the Department of Transportation for the City of Antalya. We load the complete boarding data of December 18,2019 which is a standard weekday. Most of the analysis is done using Knime software. As an outcome of this research, the analysis may propose to modify or eliminate inefficient routes, suggest new lines, identify inefficient bus stops, and potentially modify path of a route.