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Travel Demand Function of Korean Tourists to Kyushu Region, Japan

  • Saburo SaitoEmail author
  • Hiroyuki Motomura
  • Masakuni Iwami
Chapter
Part of the New Frontiers in Regional Science: Asian Perspectives book series (NFRSASIPER, volume 19)

Abstract

The purpose of this paper is to show that we can accurately forecast the recent drastic increases of Korean tourists to Fukuoka and their sharp drops after 2008 based on the travel demand function estimated by the deliberate use of micro-data obtained from the survey of inbound behaviors of Korean tourists conducted in 2000. Through showing this, we have demonstrated a way to solve the two inherent problems our questionnaire survey has; that is, one is the difficulty to get income data and the other the time limitation to perform detailed stated preference questions. To avoid detailed stated preference questions, we conceptualize respondents’ responses to the price changes of each of two travel modes as the changes of demand for the composite travel service composed of sea line and air flight. Based on this conceptualization, we have estimated a travel demand function for the composite travel service from Busan and Fukuoka. To enable us to estimate the travel demand function without income data, we made ratios to cancel out the income term in the travel demand function. The estimated result clearly shows that we could have predicted the recent surges and drops of Korean tourists to Fukuoka almost accurately at the time of 2000.

Keywords

Travel demand function Stated preference Tourism Transport mode Composite good Nested utility function Transport cost Exchange rate Korea tourists Kyushu Island Busan 

References

  1. 1.
    Fujita M, Krugman PR, Venables AJ (2001) The spatial economy: cities, regions, and international trade. MIT Press, Cambridge, MAGoogle Scholar
  2. 2.
    Motomura H, Saito S (2007) Estimating the travel demand function in consideration of destination variables for inbound tourism. Presented at the 44th annual meeting of Japan Section of Regional Science Association International (JSRSAI) (in Japanese)Google Scholar
  3. 3.
    Saito S (ed) (2000) Report on the Survey of Consumer Shop-around Behavior at City Center of Fukuoka City, Japan 2000: with focusing on underground space and comparison of city attractiveness between Japan and Korea. Fukuoka Asia Urban Research Center, Fukuoka City Government. (in Japanese)Google Scholar
  4. 4.
    Saito S, Motomura H (2001a) A study on shopping and sightseeing behaviors of international tourists. Studies on Strait Area between Korea and Japan, No.1, pp 41–61 (in Japanese). pp 51–77. (in Korean)Google Scholar
  5. 5.
    Saito S, Motomura H (2001b) The number of Korean tourists to Fukuoka and transport cost: a simple method to estimate travel demand as a composite good of different travel modes and its applications. In: Proceedings of the 38th annual meeting of Japan Section of Regional Science Association International (JSRSAI), pp 333–340 (in Japanese)Google Scholar
  6. 6.
    Saito S, Motomura H, Kakoi M (2002) A study on shopping and sightseeing behaviors of international tourists II (part 1): analysis of Japanese tourists’ behaviors in Korea and their evaluation of attractiveness of Japanese and Korean cities. Studies on Strait Area between Korea and Japan, No.2, pp 26–41 (in Japanese). pp 36–52 (in Korean)Google Scholar
  7. 7.
    Saito S, Motomura H (2002) A study on shopping and sightseeing behaviors of international tourists II (part 2): the number of Japanese tourists to Busan and transport cost. Studies on Strait Area between Korea and Japan, No.2, pp 42–50 (in Japanese). pp 52–63 (in Korean)Google Scholar
  8. 8.
    Saito S, Motomura H (2009) Travel demand function of Korean tourists to Kyushu: could we have accurately predicted the drastic increase of Korean visitors to Kyushu? paper presented at the 46th annual meeting of Japan Section of Regional Science Association International (JSRSAI)Google Scholar
  9. 9.
    Varian HR (1992) Microeconomic analysis, 3rd edn. W.W. Norton, New YorkGoogle Scholar
  10. 10.
    Japan Travel Bureau, Tourism Statistics. https://www.tourism.jp/tourism-database/stats/inbound/
  11. 11.
  12. 12.
  13. 13.
    Saito S, Kakoi M, Nakashima T (1999) On-site Poisson regression modeling for forecasting the number of visitors to city center retail environment and its evaluation. Stud Reg Sci 29:55–74. (in Japanese)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Saburo Saito
    • 1
    • 2
    Email author
  • Hiroyuki Motomura
    • 3
  • Masakuni Iwami
    • 2
  1. 1.Faculty of EconomicsFukuoka UniversityFukuokaJapan
  2. 2.Fukuoka University Institute of Quantitative Behavioral Informatics for City and Space Economy (FQBIC)FukuokaJapan
  3. 3.Department of Business and EconomicsNippon Bunri UniversityOita CityJapan

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