Schlüsselwörter
(Deutsch)
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Veloverkehr; E-Bike; S-Pedelec; Verkehrsmodellierung; Verkehrsverhalten; Veloinfrastruktur
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Schlüsselwörter
(Englisch)
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Cycling; e-bike; s-pedelec; transport modelling; travel behaviour; cycling infrastructure
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Kurzbeschreibung
(Deutsch)
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E-Bike sales increased from 7% to 45% between 2009 and 2022. Compared to conventional bicycles, e-bikes and S-pedelecs allow for higher speeds and make it easier to overcome inclines.
To represent the demand for cycling in transport demand models in a more detailed and measure-sensitive way, this project explores several questions. What influences the ownership of e-bikes and S-pedelecs? What is the willingness to along different types of bicycle infrastructure? Should the willingness to bicycle be differentiated according to trip purpose and bicycle type?
In the first step, a literature review will be carried out and expert interviews will be conducted. The analysis aims to reveal current developments on the inclusion of cyclists in transport models. Attention will be paid to factors such as speed, safety and comfort, and how these factors are taken into account in trip generation, mode choice and route choice.
Bicycle ownership and usage is evaluated using the MTMC. This descriptive analysis will focus trips covered by bicycle, e-bike and S-pedelec and will differentiate between trip purpose, time of day, altitude differences, among others.
To answer the question to what extent the type of cycling infrastructure and motorised traffic has an influence on mode and route choice, a new image-based stated-preference survey will be developed, conducted and evaluated.
The results will be applied in a pilot study with the transport demand model of the Basel region.
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Kurzbeschreibung
(Englisch)
|
E-Bike sales increased from 7% to 45% between 2009 and 2022. Compared to conventional bicycles, e-bikes and S-pedelecs allow for higher speeds and make it easier to overcome inclines.
To represent the demand for cycling in transport demand models in a more detailed and measure-sensitive way, this project explores several questions. What influences the ownership of e-bikes and S-pedelecs? What is the willingness to along different types of bicycle infrastructure? Should the willingness to bicycle be differentiated according to trip purpose and bicycle type?
In the first step, a literature review will be carried out and expert interviews will be conducted. The analysis aims to reveal current developments on the inclusion of cyclists in transport models. Attention will be paid to factors such as speed, safety and comfort, and how these factors are taken into account in trip generation, mode choice and route choice.
Bicycle ownership and usage is evaluated using the MTMC. This descriptive analysis will focus trips covered by bicycle, e-bike and S-pedelec and will differentiate between trip purpose, time of day, altitude differences, among others.
To answer the question to what extent the type of cycling infrastructure and motorised traffic has an influence on mode and route choice, a new image-based stated-preference survey will be developed, conducted and evaluated.
The results will be applied in a pilot study with the transport demand model of the Basel region.
|
Projektziele
(Deutsch)
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Den Veloverkehr in Verkehrsmodellen detaillierter, differenziert nach Velotyp (Velo, E-Bike und S-Pedelec) und massnahmensensitiv abbilden.
Erkenntnisse aus der Literatur zusammenfassen, Best-Practices bei der Modellierung von Veloverkehr beschreiben und Wissenslücken identifizieren.
Faktoren, welche den Velobesitz sowie die Verkehrsmittel- und Routenwahl von Velofahrenden beeinflussen identifizieren.
Die Wirkung der Strassenraumgestaltung und Veloinfrastruktur in Bezug auf Wegdistanzen und Verlagerungspotenziale differenziert nach Wegzweck, Velotyp und Personengruppen quantifizieren
Gewonnene Erkenntnisse in einem Verkehrsmodell umsetzen und anhand von Fallstudien beurteilen wie relevant verschiedene Faktoren dabei wirken.
Beschreiben von möglichen Hürden bei der Implementierung und Anwendung in der Praxis Hürden.
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Projektziele
(Englisch)
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To represent cycling in transport demand models in more detail, differentiate by bicycle type (bicycle, e-bike and S-pedelec) and ensure sensitivity to policy measures.
Summarise findings from the literature, describe best practices in cycling modelling and identify knowledge gaps.
Identify factors that influence bicycle ownership. mode choice for cycling and cyclists’ route choice.
Quantify the effect of street design and cycling infrastructure in terms of distance travelled and potential for modal shift, differentiated by trip purpose, bicycle type and sociodemographic characteristics
Implement the gained knowledge in a transport demand model and assess the relevance of different factors on the by means of case studies.
Outline possible barriers during implementation and application in practice.
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