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Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers

Author

Listed:
  • Saizo Aoyagi

    (Faculty of Information Networking for Innovation and Design, Toyo University, Tokyo 115-0053, Japan)

  • Yiping Le

    (Department of Civil Engineering, Shibaura Institute of Technology, Tokyo 135-8548, Japan)

  • Tetsuo Shimizu

    (Department of Tourism Science, Tokyo Metropolitan University, Hino 192-0397, Japan)

  • Kazuki Takahashi

    (NAVITIME Japan Co., Ltd., Tokyo 107-0062, Japan)

Abstract

In Japan, traffic congestions often occur on the expressways connecting tourism areas with the Tokyo metropolitan area. This congestion can be mitigated if tourists delayed their departure of homeward trips to avoid peak traffic hours. A potential method to promote staggered departure times is providing the estimates of near-future traffic congestion. This study hypothesized and experimentally confirmed that some tourists would delay their departure to avoid traffic based on near-future traffic estimates. The experiment was conducted in the Yatsugatake area using a mobile application that provided this information to tourists. The results suggest that approximately 40% of self-driving tourists will perform an additional stopover if the returning route is congested and near-future traffic congestion estimate is provided.

Suggested Citation

  • Saizo Aoyagi & Yiping Le & Tetsuo Shimizu & Kazuki Takahashi, 2020. "Mobile Application to Provide Traffic Congestion Estimates and Tourism Spots to Promote Additional Stopovers," Future Internet, MDPI, vol. 12(5), pages 1-11, April.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:5:p:83-:d:351878
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    References listed on IDEAS

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    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    4. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    5. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    7. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
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