Decision Intelligence Based on Big Data for User-Oriented Trip Planner Development

Abstract

Decision intelligence is a wide-range term covering a broad latitude of decision-making techniques, uniting traditional and modern disciplines for the development and process of decision models. It transforms the uncertainty of multiple travel choices into the opportunity to provide safe and optimal travel options. Developing a user-oriented trip planner (TP) should complement decision intelligence. This possibility enables travellers to make more informed decisions since they will have greater visibility of what is happening at their chosen travel destinations. On the other side, it will be based on using a wide range of big data and analytics, improving user experience. Authors analyse the challenging aspect of Big Data (BD) fusion being used by a person, where extraction of information across multiple data sources for travel planning is required. The research aims to develop a personalised trip planner concept for Riga city, which considers all aspects of public transport service quality. The offered concept of the user-oriented TP allows the creation of customer-oriented, safe and sustainable recommendations based on personal preferences and presented in a ranking of possible travel routes.