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Publikation Virtual reality and choice modelling. Existing applications and future research directions(Edward Elgar Publishing, 2024) van Eggermond, Michael; Mavros, Panos; Erath, Alexander; Hess, Stephane; Daly, AndrewResearch eliciting individuals’ preferences, including stated preference (SP) research, have long utilised imagery as stimuli to visualise either attributes or situations deemed too complex to be expressed verbally. The advent of Virtual Reality (VR) offers choice modelers with exciting new opportunities. This chapter outlines key concepts underlying VR and summarises previous research combining VR and choice modeling. It provides a framework of different dimensions that should be considered when developing VR experiments, including technological aspects (display technology and movement) and other aspects, such as survey duration, motion sickness and the representation of time. The chapter concludes with several ways to further combine choice modeling and VR.04A - Beitrag SammelbandPublikation The role of location in residential location choice models. A review of literature(University of Minnesota, 2014) Schirmer, Patrick M.; van Eggermond, Michael; Axhausen, Kay W.Geospatial data available to researchers has increased tremendously over the last several decades, opening up opportunities to define residential location in multiple ways. This has led to a myriad of variables to define "location'' in residential location choice models. In this paper, we propose a common classification for location variables and categorize findings from a wide range of studies. We find similar preferences but different measurement methods and market segments for locations across different study regions. Recent studies consider the residential unit as choice alternative, making it possible to include a detailed description of the built environment. However, these studies are still limited in number and the inclusion of socioeconomic environment is more common. Transport land-use models can benefit from the inclusion of points of interest, such as schools, network distances, and the distance to previous locations. For the results of location choice models to be transferable to different disciplines, and avoid multi-collinearity, it is necessary to present different model specifications, including variables of interest in different disciplines.01A - Beitrag in wissenschaftlicher Zeitschrift