cff-version: 1.2.0
abstract: "<p>The files included below are part of the CriticalMaaS research on ride-hailing and on-demand transport services. In this study, passengers' perception of waiting time variability was analysed.</p><p>&nbsp;</p><p>Respondents were presented with 32 hypothetical scenarios with immediate feedback on the performance of their selected alternatives. This feedback information was then incorporated into their decision-making for the following scenario.</p><p><br></p><p>For more information, the pre-print of the paper is available on: <em>https://arxiv.org/abs/2301.04982</em></p><p><br></p><p>Information on the data and model can be found in the README file and the python script below.</p>"
authors:
  - family-names: Geržinič
    given-names: Nejc
    orcid: "https://orcid.org/0000-0001-7533-0109"
  - family-names: Cats
    given-names: Oded
  - family-names: van Oort
    given-names: Niels
  - family-names: Hoogendoorn-Lanser
    given-names: Sascha
    orcid: "https://orcid.org/0000-0002-1829-2481"
  - family-names: Hoogendoorn
    given-names: S.P.(Serge)
    orcid: "https://orcid.org/0000-0002-1579-1939"
  - family-names: Bierlaire
    given-names: Michel
title: "Supporting Data and Software for the paper: An instance-based learning approach for evaluating the perception of ride-hailing waiting time variability"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/45cae66c-7eb3-4e04-85a9-59f6e26cfbb9.v1
license: CC BY-NC 4.0
date-released: 2023-03-21