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Transportation Research Part A Policy and Practice
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Article . 2020
License: CC BY
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Article . 2020
License: CC BY
Data sources: Datacite
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Research . 2020
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MaaS bundle design

Authors: Reck, Daniel J.; Hensher, David A.; Ho, Chinh Q.;

MaaS bundle design

Abstract

Mobility service bundling has received a lot of attention from researchers and practitioners due to its centrality to Mobility as a Service (MaaS) business models and potential to foster sustainable travel behavior. Stated choice studies have to date been used to explore the willingness to pay for MaaS bundles and their components. Despite an increasing number of academic studies and commercial trials, there is a surprising dearth of research on how to design MaaS bundles in the first place. Comparative learning is further limited as the designs of choice experiments and studied bundles differ widely. What are the underlying design dimensions and how can we separate differences in outcome from differences in design? We address this gap by (1) conducting an extensive literature review on MaaS bundle design and synthesizing ten fundamental design dimensions, (2) extending the Design of Designs literature to develop a framework to systematically relate and compare design, methods and outcome of stated choice studies in general, and (3) applying our framework to MaaS bundle design and developing a research agenda, structuring future endeavors in this field.

Transportation Research Part A: Policy and Practice, 141

ISSN:0965-8564

ISSN:1879-2375

Countries
Switzerland, Australia, Switzerland
Keywords

Design of Design, Choice Experiment, Bundling, Design of design, Mobility as a Service; MaaS; Bundling; Design of design; DoD; Choice experiment, 310, Choice experiment, DoD, MaaS, Mobility as a Service, MaaS, Bundling, Design of Design, DoD, Choice Experiment, Mobility as a Service

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    56
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
56
Top 1%
Top 10%
Top 10%
Green
hybrid