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@PHDTHESIS{Wagner:998354,
author = {Wagner, Dennis},
othercontributors = {Walther, Grit and Letmathe, Peter},
title = {{A} quantitative planning framework for the integration of
electric city buses into urban bus networks},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2024-11326},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2025; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2024},
abstract = {Reducing traffic-related emissions and increasing air
quality in city centers is a major concern for international
governments. The European Union, therefore, enforces
inner-city emission thresholds for pollutants and exhaust
gases. It has also set mandatory minimum shares of
low-emission buses in new bus sales. To this end,
battery-electric buses and fuel-cell electric buses are the
most promising technologies for achieving these goals and
thresholds. Therefore, bus operators are planning to
transition their fleet towards battery electric, fuel-cell
electric buses, or a mixture of both. The design of such a
bus fleet, however, is complex and interdependent with
infrastructure decisions. Therefore, bus operators need
support in decision-making, taking the characteristics of
their daily operation and the strategic decisions regarding
infrastructure within their network into account. Against
this background, this cumulative dissertation aims to
provide a comprehensive planning framework that can help in
designing optimisation-based planning models for public
transport systems, including battery electric buses and
fuel-cell electric buses, and to make more informed
decisions in future technology selection and infrastructure
deployment across public transport networks. To this end,
this cumulative dissertation comprises three papers that
contribute to this aim. The dissertation is divided into two
parts, whereas the first gives an overall introduction to
the motivation and clarifies the scope of the thesis.
Additionally, the first part describes the planning problem
from a practical and a scientific perspective, and
introduces the latest state-of-the-art literature.
Subsequently, a summary of all three papers, including their
aim, scope, and main results is presented. The first part is
concluded with a synthesis of key findings, managerial
implications, the limitations of this thesis, and
suggestions for potential future research. The second part
contains the three research papers. The first research paper
is a concise guide on the integration of battery electric
buses into urban bus networks and includes an extensive
analysis of practitioners' requirements on battery electric
bus planning and analyses academic literature for their
requirements' coverage. The results of this study highlight
the gap between requirements relevant for practice and
academic planning models. The second paper uses the results
from the first paper to develop an optimisation-based
integrated planning model for battery electric buses that
considers operational and strategic planning decisions
simultaneously. Additionally, this paper introduces a
meta-heuristic solution method that can cope with the
inherent high complexity and is capable of handling
real-world instances. The model is also used to analyse the
influence of the application of simplifying assumptions in
planning models on real-world feasibility and total costs.
The third paper takes the model and solution approach from
the second paper and extends it by the consideration of
mixed electric bus fleets including battery electric buses
and fuel-cell electric buses and the respective
infrastructure. The model is applied to a real-world case
study to gain managerial insights on the economic viability
of fuel-cell electric buses in mixed electric bus fleets and
conducts scenario analyses regarding homogeneous fleets and
different cost factors.},
cin = {813510},
ddc = {330},
cid = {$I:(DE-82)813510_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2024-11326},
url = {https://publications.rwth-aachen.de/record/998354},
}
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