Enhancing Sustainable Public Transport Through Business Intelligence

The successful implementation of Business Intelligence (BI) technologies in public transport relies primarily on the Internet for connectivity to facilitate real-time data transfer and communication within the vehicle or system. This contributes to service quality, and due to a positive influence on the environment, it is a sustainable solution. Beyond chatbots and digital assistants, Business Intelligence (BI) technologies can change the face of urban transportation. Equipped with BI and advanced analytics, transport networks will be able to offer better, timely, more personalized services that will enable better decision-making, reduce operational costs, and enhance sustainability. The aim of the paper is to describe the application of Business Intelligence tools in process enhancement at public transport companies with a focus on urban transportation. Integration of such technologies allows new decision-support strategies to be created that will add to sustainable solutions with a positive environmental footprint. More specifically, it investigates how data mining and machine learning, supported by low-cost, open-source tools like Weka and KNIME, can upgrade the processes of transport service providers. The study also investigates the incentives and benefits for companies in charge of providing safe urban transportation through the adoption of these technologies. These tools will help the companies increase their efficiency by reducing operational costs and hence improve the quality of the services. Finally, the results and incentives of transport organizations are presented in order to create applications that can be the main tool for improving decision-making by company management and developing supportive strategies that will lead to sustainable development and efficient urban transport systems.