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

Saizo Aoyagi, Yiping Le, Tetsuo Shimizu and Kazuki Takahashi
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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

Future Internet, 2020, vol. 12, issue 5, 1-11

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.

Keywords: additional stopover; traffic congestion; self-driving tourists; route for returning home; travel trajectory (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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