Assessing the relationship between access travel time estimation and the accessibility to high speed railway station by different travel modes

Yuyang Zhou, Minhe Zhao, Songtao Tang, William H.K. Lam, Anthony Chen, N. N. Sze, Yanyan Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

This paper aims to fill the research gap of the relationship between the access travel time (ATT) estimation and the accessibility to high speed railway (HSR) station. A regression analysis was developed on the basis of risk-return model to analyze the access travel time estimation error (ATTEE). The data sources were 1595 valid interview survey data at Beijing South Railway Station (BSRS), China in October 2016. The factors and scenarios included travel mode, departure time, and travel date, etc. The coefficients of ATT estimation were obtained by different travel modes. The results showed that the expected access travel time (EATT) has positive linear correlation with the actual access travel time (AATT). Accessibility was calculated by the ratio of AATT to EATT. The accessibility coefficients ranged from 0.89 to 1.38 in different travel modes, departure time, and travel dates. A smaller coefficient indicates better travel time reliability and accessibility. This study not only provides a useful tool to estimate the travel time budget required for access to HSR station, but also establishes a connection with the accessibility and ATTEE. It offers an opportunity to estimate ATT to HSR stations by different modes of transport, which can help to better understand how the accessibility of the feeder transport changes at different time periods.

Original languageEnglish
Article number7827
JournalSustainability (Switzerland)
Volume12
Issue number18
DOIs
Publication statusPublished - Sep 2020

Keywords

  • Access travel time estimation
  • Accessibility
  • High speed railway
  • Survey
  • Travel mode

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

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