Improving Data-Driven Decision-Making in Public Transport

Abstract

This master thesis focuses on data-driven decision-making in Norwegian public transport, aiming to identify and categorise different types of decisions and related data sources. Furthermore, the study evaluates current capabilities among the actors studied for creating efficient decision-making processes and develops a framework that proposes improvements. The overall research question is “How can data-driven decisions be improved in public transport?”. Due to the rapid changes and evolution of the business world, organisations need to constantly adapt and make frequent decisions aligned with their goals and objectives. Therefore, the ability to analyse data provided by information and communication technologies and apply this as information in decision-making processes is crucial for organisations, including the public transport sector. The public transport sector has existed for several decades, thus being affected by several intuition-based decision-making processes.