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The Economic Effects of City Center 100-Yen Circuit Bus

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

Abstract

NNR (Nishi-Nippon Railroad Co., Ltd.) introduced the city center 100-yen (1-dollar) circuit bus in Fukuoka City, Japan, in July 1999. NNR first announced that it was an experiment until March 2000, while it could be continued as a business after the experiment period if its operation record would pass the given criteria of profitability. Surprisingly, during the past 8 months, the city center 100-yen bus has attracted over 1.8 times as many customers as before. NNR has decided to keep on running the city center 100-yen bus as a business from April 2000. The purpose of this paper is to estimate the economic effect of the city center 100-yen bus at city center retail environment of Fukuoka City based on data obtained from surveys on consumer’s shop-around behavior conducted in March 2000.

Keywords

100-yen bus Circuit bus Kaiyu Shop-around behavior Economic effect Fukuoka City NNR City center One dollar 

References

  1. 1.
    Borgers A, Timmermans H (1986) City centre entry points, store location patterns and pedestrian route choice behaviour: a microlevel simulation model. Socio Econ Plan Sci 20:25–31CrossRefGoogle Scholar
  2. 2.
    Fukami T (1974) A study on pedestrian flows in a commercial district part 1. Pap City Plan:43–48. (in Japanese)Google Scholar
  3. 3.
    Fukami T (1977) A study on pedestrian flows in a commercial district part 2. Pap City Plan:61–66. (in Japanese)Google Scholar
  4. 4.
    Hagishima S, Mitsuyoshi K, Kurose S (1987) Estimation of pedestrian shopping trips in a neighborhood by using a spatial interaction model. Environ Plan A 19:1139–1152CrossRefGoogle Scholar
  5. 5.
    Hanson S (1979) Urban travel linkages: a review. In: Hensher D, Stopher P (eds) Behavioral travel modeling. Croom-Helm, London, pp 81–100Google Scholar
  6. 6.
    Hanson S (1980) The importance of the multi-purpose journey to work in urban travel behavior. Transportation 9:229–248CrossRefGoogle Scholar
  7. 7.
    Hanson S (1980) Spatial diversification and multipurpose travel: implications for choice theory. Geogr Anal 12:245–257CrossRefGoogle Scholar
  8. 8.
    Ishibashi K (1998) A study of an evaluation model for development program in central commercial district using consumer shop-around behavior. Doctoral Dissertation, The Graduate School of Science and Engineering, Tokyo Institute of Technology. (in Japanese)Google Scholar
  9. 9.
    Ishibashi K, Saito S (2000) Evaluation of space of city center viewed from shop-around model. In: Kumata Y (ed) Planning theory of public system. Gihodo, pp 177–193. (in Japanese)Google Scholar
  10. 10.
    Ishibashi K, Saito S, Kumata Y (1998) A disaggregate Markov shop-around model to forecast sales of retail establishments based on the frequency of shoppers’ visits: its application to city center retail environment at Kitakyushu City. Pap City Plan 349–354. (in Japanese)Google Scholar
  11. 11.
    Ishibashi K, Saito S, Kumata Y (1998) Forecasting sales of shopping sites by use of the frequency-based disaggregate Markov shop-around model of consumers: its application to central commercial district at Kitakyushu City. Presented at the 5th Summer Institute of the Pacific Regional Science Conference Organization (PRSCO), Nagoya, JapanGoogle Scholar
  12. 12.
    Kakoi M (2000) Theory and application of statistical inverse problem from choice-based samples: constructing simultaneous inverse estimation method of entrance frequency and shop-around pattern in downtown shopping area and its evaluation. Doctoral Dissertation, No.779 (Economics), Fukuoka University. (in Japanese)Google Scholar
  13. 13.
    Kondo K (1987) Transport behavior analysis. Koyo Shobo. (in Japanese)Google Scholar
  14. 14.
    Kondo K, Kitamura R (1987) Time-space constraints and the formation of trip chains. Reg Sci Urban Econ 17:49–65CrossRefGoogle Scholar
  15. 15.
    Lerman SR (1979) The use of disaggregate choice models in semi-Markov process models of trip chaining behavior. Transp Sci 13:273–291CrossRefGoogle Scholar
  16. 16.
    Nishi-Nippon Railroad (NNR) Co., Ltd. News release 99-18. http://www.nnr.co.jp/nnr/inf/release/release99_18.htm (in Japanese)
  17. 17.
    Nishi-Nippon Railroad (NNR) Co., Ltd. News release 99-66. http://www.nnr.co.jp/nnr/inf/release/release99_66.htm (in Japanese)
  18. 18.
    O’Kelly ME (1981) A model of the demand for retail facilities, incorporating multistop, multipurpose trips. Geogr Anal 13:134–148CrossRefGoogle Scholar
  19. 19.
    Saito S (1983) Present situation and challenges for the commercial districts in Nobeoka Area. In: Committee for Modernizing Commerce Nobeoka Region Section (ed) The report of regional plan for modernizing commerce Nobeoka Area. pp 37–96. (in Japanese)Google Scholar
  20. 20.
    Saito S (1984) A disaggregate hierarchical Huff model with considering consumer’s shop-around choice among commercial districts: developing SCOPES (Saga Commercial Policy Evaluation System). Plan Public Manag 13:73–82. (in Japanese)Google Scholar
  21. 21.
    Saito S (1984) A survey report on the modified Huff model: the development of SCOPES (Saga Commercial Policy Evaluation System): development of SCOPE (Saga Commercial Policy Evaluation System). Saga City Government, Saga City. (in Japanese)Google Scholar
  22. 22.
    Saito S (1988) Duration and order of purpose transition occurred in the shop-around trip chain at 551 a Midtown District. Pap City Plan:55–60. (in Japanese)Google Scholar
  23. 23.
    Saito S (1988) Assessing the space structure of central shopping district viewed from consumers’ shop-around behaviors: a case study of the Midtown District of Saga City. Fukuoka Univ Econ Rev 33:47–108. (in Japanese)Google Scholar
  24. 24.
    Saito S (1993) Report on evaluating urban development plans at the area around the Murasaki River from the viewpoint of Pedestrian Kaiyu Behavior. (in Japanese)Google Scholar
  25. 25.
    Saito S (1997) Analysis of the structure of city center space viewed from consumer shop-around behavior. In: Abstracts of The 1997 Spring National Conference of ORSJ. pp 20–21. (in Japanese)Google Scholar
  26. 26.
    Saito S (1997) Urban development viewed from consumer shop-around behavior. In: Abstracts of the 25th annual meeting of the behaviormetric society, Sendai. pp 22–25. (in Japanese)Google Scholar
  27. 27.
    Saito S (1998) Report on surveys of consumer Kaiyu behavior at Midtown of Fukuoka City 1996–1998. (in Japanese)Google Scholar
  28. 28.
    Saito S (1999) Report of survey on consumer Kaiyu behavior at city center of Fukuoka City 1999: analyzing the changes in the city center structure over years due to retail redevelopment at city center based on consumer Kaiyu behavior with emphasis on the effects by the opening of Hakata Riverain. (in Japanese)Google Scholar
  29. 29.
    Saito S (2000) Report on the survey of Kaiyu behaviors at city center of Fukuoka, Japan 2000: with focusing on underground space and comparison of city attractiveness between Japan and Korea, Fukuoka Asia Urban Research Center. (in Japanese)Google Scholar
  30. 30.
    Saito S, Ishibashi K (1992) Forecasting consumer’s shop-around behaviors within a city center retail environment after its redevelopments using Markov chain model with covariates. Pap City Plann 27:439–444. (in Japanese)Google Scholar
  31. 31.
    Saito, Ishibashi K (1992) A Markov chain model with covariates to forecast consumer’s shopping trip chains within a central commercial district. Presented at the the fourth world congress of the regional science association international, Palma de Mallorca, SpainGoogle Scholar
  32. 32.
    Saito S, Ishibashi K, Kumata Y (2001) An opportunity cost approach to valuation of the river in a city center retail environment: an application of consumer’s shop-around Markov model to the Murasaki River at Kitakyushu City. Stud Reg Sci 31:323–337. (in Japanese)CrossRefGoogle Scholar
  33. 33.
    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
  34. 34.
    Saito S, Kakoi M, Nakashima T (1999) Inverse estimation of entry frequency from the number of visitors observed at shopping sites under consumer’s shop-around. In: Paper presented at 16th PRSCO (Pacific Regional Science Conference Organization) held at Seoul Korea Abstracted in ProceedingsGoogle Scholar
  35. 35.
    Saito S, Kakoi M, Nakashima T (2000) Joint inverse estimation of consumer’s entry and shop-around pattern among shopping sites in a city center retail environment. Stud Reg Sci 30:213–229. (in Japanese)CrossRefGoogle Scholar
  36. 36.
    Saito S, Kumata Y, Ishibashi K (1995) A choice-based Poisson regression model to forecast the number of shoppers: its application to evaluating changes of the number and shop-around pattern of shoppers after city center redevelopment at Kitakyushu City. Pap City Plan:523–528. (in Japanese)Google Scholar
  37. 37.
    Saito S, Kumata Y, Ishibashi K (1996) A choice-based Poisson regression model: its integrated use with Markov shop-around model to evaluate city center retail redevelopment. Presented at the 3rd international conference on recent advances in retailing and service science, Telfs/Buchen, AustriaGoogle Scholar
  38. 38.
    Saito S, Nakashima T, Kakoi M (1999) Identifying the effect of city center retail redevelopment on consumer’s shop-around behavior: an empirical study on structural changes of city center at Fukuoka City. Stud Reg Sci 29:107–130. (in Japanese)CrossRefGoogle Scholar
  39. 39.
    Saito S, Sakamoto T (1992) Extraction and analysis of long sightseeing travel routes in Kyusyu Island. Pap City Plan:523–528. (in Japanese)Google Scholar
  40. 40.
    Saito S, Sakamoto T, Motomura H, Yamaguchi S (1989) Parametric and non-parametric estimation of distribution of consumer’s shop-around distance at a Midtown District. Pap City Plan:571–576. (in Japanese)Google Scholar
  41. 41.
    Sakamoto T (1984) An absorbing Markov chain model for estimating consumers’ shop-around effect on shopping districts. Pap City Plan:289–294. (in Japanese)Google Scholar
  42. 42.
    Sasaki T (1971) Estimation of person trip patterns through Markov chains. In: Newell GF (ed) Traffic flow and transportation. Elsevier, New YorkGoogle Scholar
  43. 43.
    Takano N, Kagaya S, Akazawa Y (1999) An experiment of city loop bus for the traffic of the midtown area. Jpn J Transp Econ 1998:21–30. (in Japanese)Google Scholar
  44. 44.
    Takeuchi S (1981) A model for location planning of commercial functions. Plan Public Manag:25–33. (in Japanese)Google Scholar
  45. 45.
    Wrigley N, Dunn R (1984) Stochastic panel-data models of urban shopping behaviour 1, 2. Environ Plan A 16:629–650., pp. 759–778CrossRefGoogle Scholar
  46. 46.
    Nagoya Urban Institute (1998) Study survey on city center transportation policy at Nagoya: to increase visitor mobility. Research Report, No.12. (in Japanese)Google Scholar
  47. 47.
    Asahi Shimbun Morning edition, August 7, 1998, 10th page; Mainichi Shimbun Morning edition, August 7, 1998, 8th page; Nihon Keizai Shimbun Morning edition, August 7, 1998, 13th page, Nikkei Distribution Newspaper September 3, 1998, 17th page; Nishi Nippon Shimbun Morning edition, August 7, 1998, 9th page; Yomiuri Shimbun Morning edition, August 7, 1998, 8th pageGoogle Scholar
  48. 48.
    Personal communications with persons involvedGoogle Scholar
  49. 49.
    Saito S, Yamashiro K (2001) Economic impacts of the downtown one-dollar circuit bus estimated from consumer’s shop-around behavior: a case of the downtown one-dollar bus at Fukuoka City. Stud Reg Sci 31:57–75. (in Japanese)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  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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