Value of Reliability for the Waiting Stage, In-vehicle Stage and Transfer Stage of Demand Responsive Transport (DRT) Services

María Alonso González, Sascha Hoogendoorn-Lanser, Niels van Oort, Oded Cats, Serge Hoogendoorn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

On-demand modes are playing an ever-increasing role in urban transportation. In
particular, Demand Responsive Transit (DRT) (shared on-demand modes such as
shared ride-hailing and microtransit) can complement scheduled public transport
thanks to their collective nature. These services offer flexible and convenient
mobility: they are not bound to fixed routes or schedules as public transport is.
However, this flexibility also encompasses an extra risk related to service reliability and availability: “(When) will I get the requested ride?”. This work analyses and quantifies the Value of Reliability (VoR) of these new services via a stated preference survey. The study covers both the reliability components intrinsic to DRT as well as the transfer penalty when in combination with scheduled public transport. Unobserved components of the choice behaviour are captured via latent variables in the choice model. This study contributes to the inclusion of DRT services in transportation demand models, and to better understand the role of collective transport in future integrated mobility solutions.
Original languageEnglish
Title of host publicationProceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018
Subtitle of host publication23-25 July, Brisbane, Australia
Number of pages7
Publication statusPublished - 2018
EventCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia
Duration: 23 Jul 201825 Jul 2018
Conference number: 14

Conference

ConferenceCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018
Abbreviated titleCASPT 2018
CountryAustralia
CityBrisbane
Period23/07/1825/07/18

Keywords

  • AVL data
  • Bottleneck detection
  • Performance indicators
  • Service Reliability

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