Abstract
In times of extended awareness regarding climate change and emission control, the use of public mass transit comes into the forefront of discussions regarding mobility of people especially in metropolitan areas. This includes multiple modes such as subway, light rail, bus and many others. In this paper we survey the state-of-the-art regarding bus station design and extend earlier approaches by combining mystery shopping as a marketing-oriented method with appropriate modeling (using Business Process Modeling Notation, BPMN) and concepts from virtual reality. Moreover, we reflect on possible disturbances and bus station design.
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CITATION STYLE
Voß, S., Mejia, G., & Voß, A. (2020). Mystery Shopping in Public Transport: The Case of Bus Station Design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12423 LNCS, pp. 527–542). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60114-0_36
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