Paper Abstract and Keywords |
Presentation |
2023-12-22 14:50
Analysis of Mobility Data in the Namie I-DO Project Tatsuyuki Ikeda, Jeyeon Kim (NITTC), Toru Kumagai, Tran Yen, Naohisa Hashimoto, Takahiro Miura (AIST) WBS2023-61 ITS2023-44 RCC2023-55 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, rural MaaS has garnered attention as a solution to mobility challenges in rural regions. However, ensuring profitability remains an issue and efficiency improvements are needed. Understanding detailed mobility demand is essential for designing efficient public transportation services. This study proposes reverse geocoding of GPS movement data as an analysis method to identify facility names from latitude-longitude coordinates. As a case study, movement data collected in the Namie I・DO Project is analyzed, revealing relationships between facility characteristics and user age groups, ratio of local resident users, and inflow/outflow counts by time of day. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
rural MaaS / mobility demand / reverse geocoding / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 315, ITS2023-44, pp. 173-178, Dec. 2023. |
Paper # |
ITS2023-44 |
Date of Issue |
2023-12-14 (WBS, ITS, RCC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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WBS2023-61 ITS2023-44 RCC2023-55 |
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