Explainable predictions for real-time employee workload management in railway control rooms

Abstract

Universities are major trip attractors and generators in large cities, and they have a significant influence in the transport network particularly in high-density areas. The trips to and from university campus are made by staff, students and visitors, with an important daily rotation of people (e.g., students that leave early, arrive later, etc.). In this study, we aim to improve our understanding of the trips made to the University of Sydney campuses, one of the largest universities in Australia, how individuals (namely, staff and students) choose to study/work from home and their modes of transport used since the start of COVID-19. We have collected two sets of data in 2022 from a survey which was answered by both staff and students at the University of Sydney. A mixed logit model is estimated to understand the motivations and main drivers to work/study from home or to choose different modes of transport when attending campus.