Modal Shares and Vehicle Kilometres Travelled with Shared Automated Vehicles: MATLAB Codes

doi:10.4121/777220e4-9a78-4653-8780-89c2572f6c81.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/777220e4-9a78-4653-8780-89c2572f6c81
Datacite citation style:
Fielbaum, Andrés; Pudane, Baiba (2024): Modal Shares and Vehicle Kilometres Travelled with Shared Automated Vehicles: MATLAB Codes. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/777220e4-9a78-4653-8780-89c2572f6c81.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This folder contains supporting software for the paper 'Are Shared Automated Vehicles Good for Public- or Private-Transport-Oriented Cities (or Neither)?'

It contains the MATLAB codes used to generate graphs in the paper, as well as the resulting graphs. 


The graphs illustrate how modal shares and total vehicle kilometres in a city change after the introduction of shared automated vehicles (SAVs) and how that change depends on the following parameters:

* The sharing preferences (or: the importance of private travel) in the population. These preferences determine the private- or public-transport orientation of a city (see paper for explanation);

* The SAV capacity;

* The extent to which on-board experience in a SAV resembles that of a private trip. This extent is contained in a parameter called 'relative private travel benefit' taking values between 0 (no private travel benefit in an SAV) and 1 (trip in an SAV is comparable to a trip in a private car).

history
  • 2024-09-18 first online, published, posted
publisher
4TU.ResearchData
format
*.sav, *.m, *.emf, *.fig
organizations
University of Sydney, School of Civil Engineering
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

files (26)