Abstract
In this paper, we develop a microsimulation tool for airport selection using public data on the Web. We assess a train fare strategy by developing a microsimulation tool for air travelers’ airport selections in the Kinki region of Japan. We discuss four prefectures in the Kinki region including Osaka, Hyogo, Nara and Kyoto. The Kinki region has three airports for domestic travelers: Osaka Airport, Kansai Airport and Kobe Airport. Since Osaka Airport and Kobe Airport are located near the urban areas of Osaka and Hyogo, respectively. It is important for Kansai Airport to service more air travelers. In order to share the traffic of air travelers in this region, cooperation among these three airports is highly important. We assess a train fare strategy to attract more travelers by reducing the access fares to Kansai airport using a microsimulation tool. In developing this simulation tool, we use public data accessible on the Web as well as statistics open to the public. By examining the simulation results obtained by our simulation tool, we can recommend a discounted train fare for travelers so that Kansai Airport will be able to service more air travelers.
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The contents of this paper were made through the authors’ research activities in Kansai University. The contents have no relation to their affiliations, especially ITFOR, Inc.
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Murata, T., Kasatani, N. A Microsimulation Tool for Airport Selection using Public Data on the Web. Rev Socionetwork Strat 8, 85–99 (2014). https://doi.org/10.1007/s12626-014-0046-8
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DOI: https://doi.org/10.1007/s12626-014-0046-8