% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Schwinger:990039,
author = {Schwinger, Felix Clemens},
othercontributors = {Jarke, Matthias and Rose, Thomas and Ziefle, Martina},
title = {{R}ide-sharing and micromobility in intermodal
transportation : data-driven integration, assessment, and
facilitation of mobility as a service},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2024-07095},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2024},
abstract = {Information and communication technology has led to a wide
range of smartphone-based mobility services, including car-,
bike-, scooter-, and ride-sharing. Combining these services
into intermodal journeys promises more flexibility and
customizability to travelers. However, this combination is
challenging and requires improvements at several levels: The
lack of a technical ability for mobility providers to share
information hinders their cooperation, the impact of
intermodal transportation networks is poorly understood and
inhibits an intelligent distribution of available
transportation resources, and the increasingly heterogeneous
nature of intermodal journeys easily overwhelms travelers.
Meanwhile, the status quo of car-centric transportation
systems is inadequate, as climate change and urbanization
have accelerated the need for rapid decarbonization and
increased efficiency in the transportation sector. Thus,
Mobility as a Service (MaaS) has been proposed as a solution
that addresses these challenges by seamlessly integrating
mobility services across different providers into a single
platform. Hence, MaaS-driven intermodal journeys promise to
leverage the benefits of each mobility mode to fill the gap
between individual car and public transportation journeys.
To study MaaS adoption, we employed the design science
research paradigm, revealing three main problem areas: i)
The integration among mobility providers; ii) the assessment
of the impact of MaaS on the transportation network; and
iii) the facilitation of user-interaction concepts for
travel information systems. For each problem area, we
produce, demonstrate, and evaluate artifacts of real-world
use cases, illustrating the advantages for different
stakeholders to support the creation of a seamless
intermodal transportation network. For the lack of
integration, we show that MaaS applications have yet to
accommodate all mobility modes. Since a seamless integration
requires highly accurate data, we propose approaches to
improve the providers’ data forecasts. As for the second
problem area, we observe that a lack of historical data
impedes the analysis of MaaS. We tackled the issue by
developing an inference approach for the necessary data from
openly available sources, thereby supporting the
investigation of intermodal transportation networks.
Finally, as MaaS changes how people conduct their daily
mobility, we design two natural language interfaces that
complement traditional travel information systems, thereby
reducing the burden of intermodal journey planning. Our
research supports the management of the impact of the
digital transformation as follows: i) The integration of
autonomous ride-sharing into MaaS requires a strict
adherence to the holistic mobility service chain, thus
demonstrating its extensive applicability; ii) the novel
forecasting algorithms serve as an improved information base
for intermodal journey planning, thereby increasing the
resilience of transfers; iii) our micromobility assessment
compares the travel characteristics of micromobility with
those of public transportation in a data-driven manner,
which allowed us to find evidence for their complementary
use; and iv) the proactive and context-overarching natural
language interfaces support users in exploring mobility
offers and complement traditional travel information
systems. Overall, our research contributes significantly to
the vision of enabling a seamless intermodal transportation
network.},
cin = {121810 / 124510 / 120000},
ddc = {004},
cid = {$I:(DE-82)121810_20140620$ / $I:(DE-82)124510_20160614$ /
$I:(DE-82)120000_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2024-07095},
url = {https://publications.rwth-aachen.de/record/990039},
}
guest ::