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

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.

• Record URL:
  • https://doi.org/10.1007/s13177-021-00287-w
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13488503
• Supplemental Notes:
  • Copyright © 2022, Springer. The contents of this paper reflect the views of the authors and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
• Authors:
  • Sueyoshi, Chinasa
  • Takagi, Hideya
  • Uchibayashi, Toshihiro
  • Inenaga, Kentaro
• Publication Date: 2022-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 279-287
• Serial:
  • International Journal of Intelligent Transportation Systems Research
  • Volume: 20
  • Issue Number: 1
  • Publisher: Springer Publishing
  • ISSN: 1348-8503
  • EISSN: 1868-8659
  • Serial URL: http://link.springer.com/journal/13177

Subject/Index Terms

• TRT Terms: Data analysis; Holidays; Public transit; Regional transportation; Ridership
• Identifier Terms: Google Maps
• Geographic Terms: Fukuoka (Japan)
• Subject Areas: Data and Information Technology; Passenger Transportation; Public Transportation;

Filing Info

• Accession Number: 01840989
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 29 2022 10:15AM