After a somehow slow start due to Coved-19 implications Be-Insight is now progressing well. The project has employed three new academic resources and is about to employing a fourth. The project has gotten into the fundamental research of the project that will provide the direction for coming research and is planning the small-scale pilot.
During the Autumn of 2021 fluxLoop fortified the Be-Insight team by employing two industrial doctoral candidates. Anders Skretting formerly worked as senior adviser on ICT services at the Norwegian police, whereas Philippe Büdinger came straight from studies at Copenhagen Business School.
The projects R&D partner Kristiania University College has employed PostDoc candidate Malte Bieler and is in the process of employing the second PostDoc candidate.
The project group has conducted comprehensive research and identified reference cases in the industry, and completed a study on related research on the field of automatic ticketing. The project is in the final phase of producing a review article compiling what has been written on the theme of automatic ticketing on an academic level. This article will be part of the reference basis for further project work and is soon to be sent for publication assessment.
The project has started to analyse travel flows and behavioural data provided by project partner Ruter AS and is planning the sensor rig on public transportation vehicle units in Bodø. A prototype app to gather new behavioural data is in the making and the small pilot environment is set to start during spring/ summer 2021.
Seven of the ten project work packages have started.
Be-Insight is a research project that lasts from March 2020 until July 2022. The project participants are project owner fluxLoop AS, Kristiania University College, Ruter AS and Nordland County Municipality. The project is supported by the Norwegian Research Council.
The goal is to enable automatic ticketing (Be-In, Be-Out) and new business models in the public transport area. The project will also improve trip flow modeling and behaviour analysis for the mobility industry. The newly gained insight will furthermore enable the industry players to better improve their operation and service offerings.
The research project revolves around how to use and combine various technologies in order to accurately determine the position of a mobile phone, without compromising user privacy. This will give the mobility players the necessary foundation for automatic ticketing, as well as valuable insights for further optimising of service offerings.
The end users will enjoy a “ticket free” experience and more reasonable pricing, based on actual number of stops, travel time or travel distance, as opposed to the present pricing structure which often is perceived as unfair.
Research shows that a reduction in complexity increases customer satisfaction and the number of travellers and trips. Hence, the innovation will lead to more people choosing public transport, and thereby add to positive benefits on the environment.