Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288864 
Year of Publication: 
2020
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 31 [Issue:] 1 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2020 [Pages:] 105-124
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
Cities around the world face major challenges caused by the extensive use of private cars. To counteract these problems, a new paradigm is necessary which promotes alternative mobility services. ‘Smart mobility’ refers to a new mobility behaviour that makes use of innovative technical solutions, such as the IT-supported combination of different alternative mobility services during a trip from an origin to a destination. Unfortunately, relatively few customers use apps that provide recommendations for smart mobility and there is limited knowledge about the desires, priorities and needs of potential customers. To fill this gap, we use conjoint analysis to explore differences in smart mobility app preferences across groups of people with varying mobility behaviour. Our study also considers the effect of age and place of residence on preference structures. Our results show, for example, that only car drivers do not consider the price of the smart mobility app to be particularly important for their selection decision.
Subjects: 
Conjoint analysis
Mobility as a service (MaaS)
Monetization
Preference structure
Smart mobility
JEL: 
C13
M310
R410
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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