Continuous Approximation Model for a Demand Responsive Feeder Service with Meeting Points

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Downloads (Pure)

Abstract

This paper adopts the empirical modelling approach to derive a Continuous Approximation (CA) model for the total vehicle kilometers of a demand responsive feeder service (DRFS) with meeting points (MPs). Meeting-point-based approaches are receiving increasing interest as a means of improving the efficiency of DRT provision. However, MPs introduce additional complexity since the number of pick-up locations is no longer equal to the number of passengers. We propose a functional form for this CA model and fit it to data from a full a DRFS simulation, covering a wide range of scenarios. We show that the resulting CA accurately captures the key characteristics of the system, offering a practical tool for optimizing meeting-point-based DRFS systems.
Original languageEnglish
Title of host publicationProceedings of the 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII)
Subtitle of host publicationOkinawa, Japan, 22-27 June 2025.
Number of pages4
Publication statusPublished - Apr 2025

Keywords

  • Demand-Responsive Transport
  • Meeting Points
  • Stochastic Demand
  • Continuous Approximation

Cite this