Analysis of the Number of Passengers in Consecutive National Vacation Collected with a Practical Management Support System

Chinasa Sueyoshi, Hideya Takagi, Toshihiro Uchibayashi, Kentaro Inenaga

Research output: Contribution to journalArticlepeer-review

Abstract

This study verifies the effects of public data provided on the Internet by route searching among the regional public transportation services provided by municipalities. Fundamental regional public transportation data were collected for general transit feed specification. These data standard was developed by a public agency in the United States of America in conjunction with Google. The dataset was formulated by the Ministry of Land, Infrastructure, Transport and Tourism, Japan. Google Maps and other major domestic route-search content providers were used to build the data. Moreover, we have been developing a practical service-management support system for regional public transportation provided by municipalities. This system has two applications: ASHIYA and SHINGU. ASHIYA can be used for conducting simple surveys for passengers inside public transportation, whereas SHINGU records the number of passengers getting on/off a vehicle during consecutive national vacations. We analyzed their effects on regional public transportation using the data measured and developed using SHINGU and the data obtained using the community bus “Marinkusu” in Shingu town, Kasuya-gun, Fukuoka Prefecture, Japan.

Original languageEnglish
JournalInternational Journal of Intelligent Transportation Systems Research
DOIs
Publication statusAccepted/In press - 2022

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Neuroscience(all)
  • Information Systems
  • Automotive Engineering
  • Aerospace Engineering
  • Computer Science Applications
  • Applied Mathematics

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