Network-based spatial interpolation of commuting trajectories: Application of a university commuting management project in Kyoto, Japan

Kazumasa Hanaoka, Tomoki Nakaya, Keiji Yano, Shigeru Inoue

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This study presents an application of network-based spatial interpolation of student commuting trajectories from a series of origin-destination trip datasets. In particular, we incorporated multimodal public transportation networks, including bus networks, to estimate the student commuting routes. The student samples for this study were collected from an online travel diary survey conducted by Ritsumeikan University in Kyoto, Japan. The ArcGIS Network Analyst was used to construct spatial network datasets and reconstruct trajectories from the origin-destination trip dataset. In addition, line densities of estimated trajectories were calculated and displayed on maps for geovisualization. These maps helped us understand the precise locations of congestion and spatial patterns of student commuting, unlike linear representations of people's movements that connect origins and destinations. Our study also showed that estimated trajectories can simulate quantitative impacts on travel time by promoting walking or the use of public transportation.

Original languageEnglish
Pages (from-to)274-281
Number of pages8
JournalJournal of Transport Geography
Volume34
DOIs
Publication statusPublished - 2014 Jan 1

Keywords

  • Geographic Information System (GIS)
  • Interpolation
  • Japan
  • Network
  • Public transportation
  • Student commuting

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation
  • Environmental Science(all)

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