Evaluation Framework for Multi-Modal Public Transport Systems Based on Connectivity and Transfers at Stop Level

Charalampos Sipetas, Zhiren Huang, Alonso Espinosa Mireles de Villafranca

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Multi-modal public transport (PT) networks within metropolitan areas are often characterized by complexity resulting mainly from their infrastructure, design, operations, and demand. This complexity leads to a significant amount of effort on behalf of the transit agencies to properly evaluate their performance at certain locations and proceed with improvements. This study proposes a methodology based on clustering techniques that facilitates the evaluation of PT networks. The evaluation framework refers to the comparison between the levels of supply and demand at a certain stop. Service supply is quantified through an existing connectivity index, whereas demand is considered through the number of transfers that are performed at each stop. Transfers are critical within multi-modal mobility and often serve as a hindrance for choosing PT. The case study here is the Helsinki PT network in Finland. General Transit Feed Specification (GTFS) data are used for quantifying connectivity and a dataset deriving from smartphone ticketing application for quantifying transfers. Results include the evaluation for each PT mode and for the overall multi-modal PT network. Focusing on the evaluation of the overall multi-modal PT network, connectivity and transfers levels for 75.60% of stops are found to be well aligned. Therefore, these stops could be eliminated from the list of candidate stops for performing improvements. Of the remaining stops, 19.73% belongs to the case of higher connectivity than transfers and 4.67% to the case of lower connectivity than transfers. Stops included in these two cases require further attention and prioritization during planning processes.

Original languageEnglish
JournalTransportation research record
Early online date2024
DOIs
Publication statusPublished - 3 Mar 2024
Publication typeA1 Journal article-refereed

Keywords

  • GTFS
  • management and performance
  • performance measures
  • public transportation
  • transformative trends in transit data

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

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