Value of Reliability of Travellers on the Paris Suburban Railway Network

Technical Report on the Data Analysis

by Marco Kouwenhoven, Sebastian Caussade, Eric Kroes

Download eBook for Free

Full Document

FormatFile SizeNotes
PDF file 0.4 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

Summary Only

FormatFile SizeNotes
PDF file 0.1 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

The development of a robust method to appraise a-priori the monetary benefits of different possible measures to improve regularity of the Paris suburban train network required values for the level of reliability as experienced by the travellers. These values-of-reliability were obtained from a large-scale Stated Preference (SP) data set that was collected specifically for this project. This technical report presents the estimation results of the models that have been developed based on this data set.

Table of Contents

  • Chapter One

    Design of the Stated Preference Experiment

  • Chapter Two

    Data Collection

  • Chapter Three

    Data Processing

  • Chapter Four

    Model Development

  • Appendix A

    Recruitment Questions

  • Appendix B

    Background Questions

  • Appendix C

    Background to the model development

Research conducted by

The research described in this report was prepared for the Syndicat des Transports d’Ilse de France and was conducted by RAND Europe.

This report is part of the RAND Corporation Technical report series. RAND technical reports may include research findings on a specific topic that is limited in scope or intended for a narrow audience; present discussions of the methodology employed in research; provide literature reviews, survey instruments, modeling exercises, guidelines for practitioners and research professionals, and supporting documentation; or deliver preliminary findings. All RAND reports undergo rigorous peer review to ensure that they meet high standards for research quality and objectivity.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.