Issue |
MATEC Web Conf.
Volume 308, 2020
2019 8th International Conference on Transportation and Traffic Engineering (ICTTE 2019)
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Article Number | 01005 | |
Number of page(s) | 4 | |
Section | Traffic Data Analysis and Traffic Dispatching | |
DOI | https://doi.org/10.1051/matecconf/202030801005 | |
Published online | 12 February 2020 |
Building and Publishing Fundamental Transit Data for Regional Public Transportation Provided by Municipalities
1 Faculty of Science and Engineering, Kyushu Sangyo University, 2-3-1 Matuskadai, Higashi-ku, Fukuoka city, Fukuoka, Japan
2 Graduate School of Information Science, Kyushu Sangyo University, 2-3-1 Matuskadai, Higashi-ku, Fukuoka city, Fukuoka, Japan
a Corresponding author: sueyoshi@is.kyusan-u.ac.jp
Public transportation is becoming increasingly important in regions where the residential population is decreasing. In Japan, many regional transportation systems are experiencing financial challenges. It is difficult for fixed-route transportation systems to operate at a surplus when serving only local resident users. We consider one of the problems of these regional public transport systems to be the lack of information on the Internet about regional public transportation routes. For people who are unfamiliar with the region, such as inbound tourists, there is no easy way to conduct a route search. In this paper, we describe our efforts to build a fundamental database of the regional public transportation provided by municipalities and to publish this data for those conducting route searches on the Internet. Specifically, we converted fundamental data regarding regional public transportation to the feed of the General Transit Feed Specification-Japan (GTFS-JP), which is based on the Google GTFS, as formulated by the Ministry of Land in Japan. Then we encouraged municipalities to publish these transit data to enable route searches on Google Maps and other domestic-content providers.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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