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Occurrence Order of Shop-Around Purposes

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

Abstract

Recent studies have been paying much attention on trip-chaining behavior. However, shop-around trip-chaining behavior at a midtown district has not yet been fully explored. In particular, there is a lack of empirical facts about its purpose transition. Based on the citizen survey conducted by Saga City Government, this research analyzes how many purpose transitions occur before quitting and constructs ratio scale to account for what type of purpose is preferred in what steps of shop-around. Findings are quitting rate of shop-around increases as steps proceed; purpose transition probability is non-stationary; and there are two kinds of purposes which are more likely to occur early or later.

Keywords

Shop-around Kaiyu Purpose transition Occurrence order Saga City Positive reciprocal matrix Maximum eigenvalue Ratio scale Decomposition Trip chain Quitting rate 

References

  1. 1.
    Amemiya T (1985) Advanced econometrics. Blackwell, OxfordGoogle Scholar
  2. 2.
    Cox DR, Oakes D (1984) Analysis of survival data. Chapman and Hall, LondonGoogle Scholar
  3. 3.
    Fukami T (1974) A study on pedestrian flows in commercial district part 1. Pap City Plan:43–48. (in Japanese)Google Scholar
  4. 4.
    Fukami T (1977) A study on pedestrian flows in a commercial district part 2. Pap City Plan:61–66. (in Japanese)Google Scholar
  5. 5.
    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
  6. 6.
    Kondo K (1987) Transport behavior analysis. KoyoShobo. (in Japanese)Google Scholar
  7. 7.
    Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New YorkGoogle Scholar
  8. 8.
    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 36–96. (in Japanese)Google Scholar
  9. 9.
    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 Publ Manag 13:73–82. (in Japanese)Google Scholar
  10. 10.
    Saito S (1984) A survey report on the modified Huff model: the development of SCOPES (Saga Commercial Policy Evaluation System) (in Japanese): development of SCOPE (Saga Commercial Policy Evaluation System). Saga City Government, Saga City. (in Japanese)Google Scholar
  11. 11.
    Saito S (1986) Analysis report of Saga citizen opinion survey: City attractiveness and policy demand of Saga City, Saga City Government. (in Japanese)Google Scholar
  12. 12.
    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
  13. 13.
    Saito S (1988) Ratio scaling and scale decomposition of rank ordered choice set data: an application of positive reciprocal matrix theory. Fukuoka Univ Rev Econ 33:1–46. (in Japanese)Google Scholar
  14. 14.
    Sakamoto T (1984) An absorbing Markov chain model for estimating consumers’ shop-around effect on commercial districts. Pap City Plan:289–294. (in Japanese)Google Scholar
  15. 15.
    SAS Institute (1985) Proc LIFETEST. In: SAS user’s guide: statisticsGoogle Scholar
  16. 16.
    Takeuchi S (1981) A model for location planning of commercial functions. Plan Publ Manag:25–33. (in Japanese)Google Scholar
  17. 17.
    Saito S (1988) Duration and order of purpose transition occurred in the shop-around trip chain at a midtown district. Pap City Plan:55–60. (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

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