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Taxi Dash: Serendipitous Discovery of Taxi Carpool Riders

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Abstract

During winter, scheduled bus services can experience delays in locations where extreme and persistent snowfall affect road conditions. Commuters rushing to school or work often choose more flexible modes like taxis. However, taxi fares are more expensive for a single passenger, most especially students. In this paper, we present the design and implementation of a carpool application for taxi services in Hakodate, Japan. Considering the high level of shyness among Japanese university students, the application intends to facilitate serendipitous discovery and group formation among Japanese students expressing intent to take taxi services.

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Notes

  1. 1.

    https://www.uber.com/en-JP/.

  2. 2.

    https://www.grab.com/sg/.

  3. 3.

    https://www.wunder.org/.

  4. 4.

    https://www.amazon.com/ddb/learn-more.

References

  1. Sakuragi, T.: Association of culture with shyness among Japanese and American university students. Percept. Mot. Skills 98(3), 803–813 (2004). 6

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  2. Pryor, B., Butler, J., Boehringer, K.: Communication apprehension and cultural context: a comparison of communication apprehension in Japanese and American students. North Am. J. Psychol. 7(2), 247–252 (2005)

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  3. Brooke, J.: SUS-A quick and dirty usability scale usability and context. Usability Eval. Ind. 189(194), 4–7 (1996)

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Correspondence to Briane Paul V. Samson .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Samson, B.P.V., Sumi, Y. (2018). Taxi Dash: Serendipitous Discovery of Taxi Carpool Riders. In: Murao, K., Ohmura, R., Inoue, S., Gotoh, Y. (eds) Mobile Computing, Applications, and Services. MobiCASE 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-90740-6_23

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  • DOI: https://doi.org/10.1007/978-3-319-90740-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90739-0

  • Online ISBN: 978-3-319-90740-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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