Abstract
We developed a log analyzer for public transit guidance service, and clarified the pattern of the usage of public transit guidance, and actual demand to the public transit service. In recent years, there is a growing demand for public transit guidance for mobile devices, such as smartphones. Therefore the usage of public transit guidance service strongly reflects the demand to the public transit. It is possible to find potential demand to the railway services and route bus services by observing the access to the public transit guidance service. We developed a log analyzer of public transit guidance service as a Hadoop cluster for Bus-net, a popular public transit guidance service in Tottori Prefecture, Japan, and discussed the way to improve public transit service more convenient with the result of the analysis.
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Kenjo, G., Ito, M., Kawamura, T., Sugahara, K. (2013). A Log Analyzer of Public Transit Guidance Service to Improve a Route Bus Service. In: Rau, P.L.P. (eds) Cross-Cultural Design. Cultural Differences in Everyday Life. CCD 2013. Lecture Notes in Computer Science, vol 8024. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39137-8_32
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DOI: https://doi.org/10.1007/978-3-642-39137-8_32
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