Role of Service Uncertainty in Decision to Use Demand Responsive Transport Services, a Stated Adaptation Choice Experiment

Shangqi Li, Soora Rasouli, Harry J.P. Timmermans

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Demand responsive transport (DRT) although existed for decades, has recently become more attractive due to availability of real time (demand and supply) data and advanced matching algorithms. DRT is advantageous in reducing traffic and space occupancy if each service is simultaneously used by multiple travelers. Despite its benefits, travelers’ willingness to adopt this transport service is essential for such a service to have a meaningful impact on the living environment. Apart from service characteristics such as travel cost, travel time, waiting time and convenience, the uncertainty involved in the service delivery can be an additional factor for travelers no to be eager in using such a service. In this study, a web-based stated adaptation experiment is designed to understand the travelers’ choice of DRT in different contexts. Stated adaptation choice experiment first collect travel history and then expose respondents to two DRT options designed on the basis on the reported trip characteristics. A regret- rejoice based model is estimated to identify the relationship between the features of DRT service (including uncertain characteristics) and people’s adaptation behavior.

Original languageEnglish
Title of host publicationSmart Energy for Smart Transport
Subtitle of host publicationProceedings of the 6th Conference on Sustainable Urban Mobility, CSUM2022, August 31-September 2, 2022, Skiathos Island, Greece
EditorsEftihia G. Nathanail, Nikolaos Gavanas, Giannis Adamos
PublisherSpringer Nature
Pages697
Number of pages1
ISBN (Electronic)978-3-031-23721-8
ISBN (Print)978-3-031-23720-1
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure
VolumePart F1378
ISSN (Print)2523-3440
ISSN (Electronic)2523-3459

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Demand responsive transport
  • Stated adaptation experiment
  • Uncertainty

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