Abstract
This paper outlines our process of researching, developing, and implementing a data analysis and visualization framework for Electric Bus (eBus) implementation – battery and hydrogen – in Canada, described as Zero Energy Buses (ZEB) using Human Computer Interaction strategies. Our research team works in collaboration with the Canadian Urban Transit & Innovation Research Consortium (CUTRIC), the coordinating agency for research and eBus trials across Canada. Our paper reviews factors considered to provide a meaningful systems analysis of eBus implementation, relevant data resources, and user-centric design approaches that will mitigate risks to create a successful eBus system analytics tool able to support diverse users. We are developing innovative techniques able to manage and represent the large volume of multisource spatial and temporal data in this new field of transit electrification including 2D/3D space-time and 4D visualization; real-time and predictive visualizations resulting from generative algorithms. Visual analytics will allow the careful tracking of multiple data sources, to measure the process of adoption, providing tools for monitoring of services, consumer attitudes, user experience, and prediction of impacts. Visual analytics provides a comprehensive overview of implementation nationally, enabling opportunities to share data, assess progress, identify challenges, and to explore challenges in this new field. Based on user consultations we are developing a Sustainable Transit Planning Index which considers multiple environmental, economic and equity/access factors in supporting ZEB implementation in Canada and applicable to other jurisdictions. It will extract and link local ZEB implementation data into a national framework.
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Bowes, J. et al. (2021). Visualization of Zero Energy Bus Implementation Through Effective Computer Interaction. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science(), vol 12791. Springer, Cham. https://doi.org/10.1007/978-3-030-78358-7_2
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