Ride-Time Volatility in Demand Responsive Feeder Services with Meeting Points

Haruko Nakao, Richard Connors, Tai-Yu Ma, Francesco Viti

Research output: Contribution to conferencePaperpeer-review

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Abstract

Demand Responsive Transport (DRT) has been widely used to complement scheduled public transport services in rural areas. The DRT’s routing policy is mostly characterized by user’s maximum ride time constraints given a fixed level of demand. Several post-evaluations of failed DRT systems show that users are very sensitive to their daily use experience, and the volatility in user experience within the guaranteed service level (e.g., maximum waiting time, maximum detour time) could discourage users from continuing to use the services. However, it is still unknown to what extent the stochastic nature of the user’s demand impacts the user’s experienced variability on the level of service. In this work, we investigate to what extent user’s day-to-day experience fluctuates due to demand stochasticity in a meeting-point-based DRT system. In particular, how the detour factor, a main system parameter used to bind the maximum ride time of users, impacts the volatility in users’ experience. Our simulation experiments show that all users experience maximum volatility in ride time regardless of their origin location, suggesting a more fitted system design parameter is needed to reduce user’s experienced variability.
Original languageEnglish
Publication statusPublished - 2024
Event12th Symposium of the European Association for Research in Transportation -
Duration: 18 Jun 202424 Jun 2024
https://transp-or.epfl.ch/heart/2024.php

Conference

Conference12th Symposium of the European Association for Research in Transportation
Abbreviated titlehEART 2024
Period18/06/2424/06/24
Internet address

Keywords

  • Demand Responsive Transport
  • day-to-day demand stochasticity
  • service volatility
  • shared mobility

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