Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management

Konstanze Winter

doi:10.4233/uuid:9f5b51e1-4877-4e60-a9d0-69fa37fa834f

Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management

Konstanze Winter

Transport and Planning

Research output: Thesis › Dissertation (TU Delft)

326 Downloads (Pure)

Abstract

Self-driving vehicles could make the operation of public transport services in a more flexible manner more affordable. Introducing shared automated vehicles would al¬low operating a fleet of smaller vehicles in a demand responsive manner. This could potentially impact the way we use and operate public transport services, which could eventually trigger changes in car ownership and land use. The main objective of this dissertation is to understand better what it means to deploy shared automat¬ed vehicles for on-demand public transport services. This is analysed from the per¬spective of three main stakeholders: (1) the user preferences of potential users, (2) the fleet operation supervised by the fleet manager, (3) and potential parking man¬agement strategies issued by a transport authority concerned with the introduction of shared automated vehicles.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Cats, O., Promotor Martens, Karel, Promotor, External person van Arem, B., Promotor
Award date	2 Apr 2020
Publisher	TRAIL Research School
Print ISBNs	978-90-5584-262-9
DOIs	https://doi.org/10.4233/uuid:9f5b51e1-4877-4e60-a9d0-69fa37fa834f
Publication status	Published - Mar 2020

Bibliographical note

TRAIL Thesis Series no. T2020/07, the Netherlands Research School TRAIL

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.4233/uuid:9f5b51e1-4877-4e60-a9d0-69fa37fa834f

thesis_KonstanzeWinterFinal published version, 5.49 MB

2 Conference contribution

Relocating Strategies under Parking Constraints for a Fleet of Shared Automated Vehicles
Winter, K., Cats, O., Martens, K. & van Arem, B., 2018, hEART 2018: 7th Symposium of the European Association for Research in Transportation, 5-7 September, Athens, Greece. 7 p.
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Open Access
File
Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities
Winter, K., Cats, O., Van Arem, B. & Martens, K., 8 Aug 2017, 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings. IEEE, p. 844-849 6 p. 8005630
Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
17 Citations (Scopus)

Amsterdam Scenario MATSim
Winter, M. K. E. (Creator) & Narayan S., J. (Creator), TU Delft - 4TU.ResearchData, 26 Nov 2019
DOI: 10.4121/UUID:6108ED85-7B24-455E-BD95-89D84E6306FA
Dataset/Software: Dataset
Stated Choice Experiment on Mode Choice in an Era of Free-Floating Carsharing and Shared Autonomous Vehicles: Raw Data
Winter, M. K. E. (Creator), Cats, O. (Creator), Martens, K. (Creator) & van Arem, B. (Creator), TU Delft - 4TU.ResearchData, 29 Nov 2018
DOI: 10.4121/UUID:4AC4D7B7-C8B0-42EC-A096-55A4F1837585
Dataset/Software: Dataset

Cite this

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title = "Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management",

abstract = "Self-driving vehicles could make the operation of public transport services in a more flexible manner more affordable. Introducing shared automated vehicles would al¬low operating a fleet of smaller vehicles in a demand responsive manner. This could potentially impact the way we use and operate public transport services, which could eventually trigger changes in car ownership and land use. The main objective of this dissertation is to understand better what it means to deploy shared automat¬ed vehicles for on-demand public transport services. This is analysed from the per¬spective of three main stakeholders: (1) the user preferences of potential users, (2) the fleet operation supervised by the fleet manager, (3) and potential parking man¬agement strategies issued by a transport authority concerned with the introduction of shared automated vehicles.",

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AB - Self-driving vehicles could make the operation of public transport services in a more flexible manner more affordable. Introducing shared automated vehicles would al¬low operating a fleet of smaller vehicles in a demand responsive manner. This could potentially impact the way we use and operate public transport services, which could eventually trigger changes in car ownership and land use. The main objective of this dissertation is to understand better what it means to deploy shared automat¬ed vehicles for on-demand public transport services. This is analysed from the per¬spective of three main stakeholders: (1) the user preferences of potential users, (2) the fleet operation supervised by the fleet manager, (3) and potential parking man¬agement strategies issued by a transport authority concerned with the introduction of shared automated vehicles.

U2 - 10.4233/uuid:9f5b51e1-4877-4e60-a9d0-69fa37fa834f

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ER -

Providing Public Transport by Self-Driving Vehicles: User Preferences, Fleet Operation, and Parking Management

Abstract

Bibliographical note

UN SDGs

Access to Document

Fingerprint

Research output

Relocating Strategies under Parking Constraints for a Fleet of Shared Automated Vehicles

Impact of relocation strategies for a fleet of shared automated vehicles on service efficiency, effectiveness and externalities

Datasets

Amsterdam Scenario MATSim

Stated Choice Experiment on Mode Choice in an Era of Free-Floating Carsharing and Shared Autonomous Vehicles: Raw Data

Cite this