摘要
　　本研究探討遊客旅遊主題樂園，面臨旅遊糾紛、滿意度、住宿、時間、交通、財務、治安、觀光景點、恐怖主義及醫療支援等旅遊風險項目時，不同風險關注程度之遊客，因為風險認知不同而與消費者特質、風險資訊搜集策略及旅遊行為三個影響構面間的彼此關聯。本研究除了比較我國國民國內與國外主題樂園旅遊之基本特性，並採用二階段統計集群分析與類神經網路自組織映射(SOM)兩種集群方法將553份國內及192份國外有效問卷依風險關注項目予以分群，再比較兩種分群間之差異。

　　研究結果顯示，國內旅遊遊客與出國旅遊遊客在風險議題關注程度、決定性資訊及消費者特質上有所不同；對風險關注程度不同的遊客，其風險關注項目也不同；遊客風險資訊取得注重便利性及專業性；交通風險是共同的旅遊風險關注；知覺風險方面，國內遊客以不確定性，出國遊客則以決策後果較高。

ABSTRACT
　This study begins by indicating ten travel issues/risks which theme park travelers may concern: they are the risks of Travel Dispute, Satisfaction,Accommodation, Timing, Transportation, Financial, Law and Order,Sightseeing Spot, Terrorism and Medical Support. Each traveler concerns/acknowledges the different degree of the issues/risks; he or she therefore ends up with different Tourist characteristics, Risk information search strategy and Behaviors. Next, we continue by comparing some basic characteristics from tourists who travel to domestic or foreign theme parks.Also, by applying statistic approaches, Two-stage clustering and Self-Organizing Map, to analyze 553 valid domestic and 192 foreign traveler questionnaires, we goes to the core of the study and cluster tourists in
different levels, according to their different level of concern to the travel risks.Different statistic methods present different statistic results; we thus compare their differences.

　The study is concluded with some interesting findings: Tourists who travel to domestic or to foreign theme parks present different testing results in issues of travel risks concerning, decisive information and tourist characteristics; The more attention is paid to the travel risks, the wider areas of them will be cared by tourists; Tourists look at the risk information, which is handy and is presented professionally; The issue of transportation risk is a universal concern; With regard to the subject of perceived risk, domestic theme park tourists prefer uncertainties; foreign theme park travelers, on the
other hand, concern their decision-making consequences.

參考文獻
中文部份
1. 文崇一，台灣居民的休閒生活，東大圖書股份有限公司，台北，1990年。

2. 王保進，視窗SPSS與行為科學研究，心理出版社，台北，2002年。

3. 交通部觀光局，「國人國內旅遊狀況調查報告」，交通部觀光局，台北，
1999年。

4. 交通部觀光局，「國人旅遊狀況調查摘要」，交通部觀光局，台北，2001年。

5. 交通部觀光局，「國人旅遊狀況調查摘要」，交通部觀光局，台北，2002年。

6. 交通部觀光局，「國人旅遊狀況調查摘要」，交通部觀光局，台北，2003年。

7. 何中華，「遊樂園規劃設計模式回顧」，中華工商專校學報，第10卷，第161-177頁，1994年。

8. 林靈宏，消費者行為學，五南圖書出版公司，台北，2000年。

9. 吳明隆，SPSS統計應用學習實務－問卷分析與應用統計，知城數位科技股份
有限公司，台北，2003年。

10. 唐學斌，陽明山國家公園遊客旅遊模式及其經營管理之研究，內政部營建署，
1989年。

11. 陳靜芳、徐木蘭，「臺灣地區民營遊樂園營運績效衡量構面之探討」，
中華林學季刊，第27卷，第2期，第55-68頁，1994年。

12. 陳思倫，「赴大陸旅客對大陸旅行風險認知之研究」，海峽兩岸二十一世紀觀光學術研討會，第A-1－A-24頁，2001年。

13. 陳昭明，「觀光遊憩區危險預警及安全管理系統觀念」，觀光教育期刊，第10卷，第4期，第18-24頁，1991年。

14. 黃淑為、林晏州，「影響遊客對登山步道環境屬性偏好因子之探討－以陽明山國家公園為例」，國家公園學報，第9卷，第2期，第166-181頁，1999年。

15. 黃孫權，「主題園在台灣」，造園季刊，第七卷，第11-23頁，1991年。

16. 許文聖，「臺灣觀光事業之規劃與發展」，觀光管理，第1卷，第16-17頁，
1992年。

17. 郭生發，「主題園在日本— 日本主題園之現況與趨勢」，造園季刊，第7卷，第3期，第40-46頁，1991年。

18. 傅屏華，「主題園市場定位之探討」，醒吾學報，第18期，第211-218頁，1994年。

19. 張斐章、張麗秋、黃浩倫，類神經網路-理論與實務，東華書局，台北，2003年。

20. 楊文燦、吳佩芬，「主題園遊客對主題意象認知之研究－以六福村主題遊樂園為例」，戶外遊憩研究，第10卷，第2期，第67-92頁，1997年。

21. 楊明賢，觀光學概論，揚智文化事業股份有限公司，台北，1999年。

22. 葉怡成，類神經網路模式應用與實作，儒林圖書有限公司，台北，2003年。

23. 劉修祥，觀光導論，揚智文化，台北，2000年。

24. 劉連茂，21世紀主題樂園的夢幻與實現，詹氏建築書局，2000年，。

25. 劉憲宗，主題園區(Theme Park)開發實務，建築師雜誌，第18卷，第5期，
第45-61頁，1992年。

26. 謝淑芬，「消費者對旅遊風險知覺之研究」，景文技術學院學報，第11期，第187-198頁，2000年。

27. 顏鎮榮，「娛樂空間的規劃設計與構成形式之探討－以遊樂園為主」，嶺東學報，第12卷，第361-370頁，2001年。

英文部份
1. Alba, and Hutchinson, J. W., "Dimensions of Consumer Expertise," Journal of Consumer Research, Vol. 13, pp.411-454, 1987.

2. Agarwal, S. and Teas, R. K., “Perceived Value: Mediating Role of Perceived Risk,” Journal of Marketing Theory and Practice, Vol.9, Iss.4, pp.1-14, 2001.

3. Bauer, R. A., Consumer behavior as risk taking. In R. S. Hancock (Ed.), Dynamic marketing for a changing world, pp. 389-398, 1960.

4. Beatty, S. E., and Smith, S. M., “External Search Effort: An Investigation Across Several Product Categories,” Journal of Consumer Research, Vol. 14(June), pp.83-95, 1987.

5. Bettman, J. R., Eric, J. J., and John W. P., “Consumer Decision Making,” in Handbook of Consumer Research. Eds. T. S. Robertson and H. H. Kassarjian. Engnlewood Cliffs, NJ: Prentice Hall, pp. 50-84, 1991.

6. Bin, J., Harrie, L., “Selection of Streets from a Network Using Self-Organizing Maps,” Transactions in GIS, Vol. 8, Iss. 3, pp.335-351, 2004.

7. Cox, D. F., and Rich, S. J., “Perceived risk and consumer decisions making: The case of telephone shopping,” Journal of Marketing Research, Vol.4, Iss.1, pp.32-39, 1964.

8. Cox, D. F., "Risk handling in consumer behavior-An intensive study of two cases,” Risk taking and information handling in consumer behavior, Boston : Harvard University Press, pp.34-81, 1967.

9. Cunningham, S. M., “The major dimension of perceived risk,” Risk taking and information handling in consumer behavior, Boston : Harvard University Press, pp82-108, 1967.

10. Dowling, G. R., and Staelin, R., “A model of perceived risk and intended risk-handling activity,” Journal of Consumer Research, Vol. 21, Iss.1, pp.119-134, 1994.

11. Driver, B.L., Brown, P.J. and Peterson, G.L., “Benefits of leisure,” State College, PA: Venture Publishing, Inc, Iso-Ahola,S.E, pp.249-262, 1980.

12. Driver, B.L., Brown, P.J., “Probable Personal Benefits of Outdoor Recreation,” London: Venture, 1987.

13. Engel, J. F., Roger, D., Blackwell, and Kollat, D. T., Consumer Behaior, 8th ed., The International Edition: The Dryden Press, Harcourt Brace College Publisher, 1995.

14. Essenreiter, R., Karrenbach, M., and Treitel, S., “Identification and classification of multiple reflections with self-organizing maps,” Geophysical Prospecting, Vol. 49, Iss. 3, pp.341-353, 2001.

15. Fish, K. E., Barnes, J. H. and Aiken, M. W., “Artificial Neural Networks- A New Methodology for Industrial Market Segmentation,” Industrial Marketing Management Vol.24, pp.431-438, 1995.

16. Fodness D., and Murray, B., “A Model of Tourist Information Search Behavior,” Journal of Travel Research, Vol.37 (February), pp220-230, 1999.

17. Huang, J., Shimizu, H., and Shioya, S., “Clustering gene expression pattern and extracting relationship in gene network based on artificial neural networks,” Journal of Bioscience & Bioengineering, Vol.96, Iss.5, pp.421-429, 2003.

18. Janet, R., McColl-Kennedy, R. E., and Fetter, Jr., “An Empirical Examination of the Involvement to External Search Relationship in Search Relationship in Services Marketing,” Journal of Services Marketing, Vol.15, Iss.2, pp.82-98, 2001.

19. Jenkins, R. L. “Family vacation decision making,” Journal of Travel Research, Vol.16, Iss.4, pp. 2-7, 1978.

20. Joseph, W., and Howard, M., ”The Effects of Frequency Knowledge On Consumer Decision Making,” Journal of Consumer Research (1986-1998). Gainesville: Jun 1987, Vol.14, Iss.1, pp.14-26, 1987.

21. Kaushik, M., Michelle, C., Reiss, L. M., and Capella, “An Examination of Perceived Risk, Information Search and Behavioral Intentions in Search, Experience and Credence Services,” Journal of Services Marketing, Vol.13, Iss.3, pp.208-228, 1999.

22. Klinke, A., and Renn, O., “Precautionary principle and discursive strategies: Classifying and managing risks,” Journal of Risk Research, Vol.4, Iss.2, pp.159-173, 2001.

23. Madan, M., Gupta, L. J., and Noriyasu, “HommaStatic and dynamic neural networks: from fundamentals to advanced theory,” New Jersey: Wiley, 2003.

24. Markey, M. K., Lo, J. Y., Tourassi, G. D., Floyd, J., and Carey E., “Self-organizing map for cluster analysis of a breast cancer database,” Artificial Intelligence in Medicine, Vol.27, Iss.2, pp.113-128, 2003.

25. McIntosh, R. W., Goeldner, C. R., Ritchie, J. R., and Brent, “Tourism: Principles, practices, philosophies,” Journal of Travel Research, Vol. 34, Iss. 1, pp. 88, 1995.

26. Mitra, K., Michele, C., Reiss, and Louis, M. C., “An Examination of Perceived Risk,” Information Search and Behavioral Intentions in Search, Experience and Credence Services, Journal of Services Marketing, Vol.13, Iss.3, pp.208-228, 1999.

27. Moutinho, L., “Consumer Behavior in Tourism,” European Journal Marketing (UK), Vol.21, pp.5-44, 1987.

28. Roehl, W. S., and Fesenmaier, D. R., “Risk perceptions and pleasure travel: An exploratory analysis,” Journal of Travel Research, Vol.30, Iss.4, pp.17-26, 1992.

29. Sarint, S., Sego, T. and Chanvarsuth, N., “Strategic Use of Bundling for Reducing Consumers’ Perceived Risk Associated with the Purchase of New High-Tech Products,” Journal of Marketing Theory and Practice, Vol.11, pp.71-82, 2003.

30. Schmidt, J. B. and Spreng, R. A., “A Proposed Model of External Consumer Information Search,” Journal of the Academy of Marketing Science, Vol.24, Iss.3, pp. 246-256, 1996.

31. Schul, P., and Crompton, J. L., “Search Behavior of International Vacationers: Travel-Specific Lifestyle and Sociodemographic Variables,” Journal of Travel Research, Vol.21, pp25-31, 1983.

32. Sessoms, H., “Lifestyle and life cycles:A conceptual programming approach,” Vol.26, Iss.2, pp.174-181, 1982.

33. Sessoms, H. D. and Henderson, K. A., “Introduction to leisure services,” State College, PA: Venture, 1994.

34. Sönmez, S. F. and Graefe, A. R., “Determining Future Travel Behavior from Past Travel Experience and Perceptions of Risk and Safety,” Journal of Travel Research, Nov98, Vol. 37, Iss.2, pp.171-177, 1998.

35. Stone, R. N., and GrØnhaug, K., “Perceived risk: Further considerations for the marketing discipline,” European Journal of Marketing, Vol.27, Iss.3, pp.39-50, 1993.

36. Tsaur, S. H., Tzeng, G. H., and Wang, K. C., “Evaluating tourist risks from fuzzy perspectives,” Annals of Tourism Research, Vol.24, Iss.4, pp.796-812, 1997.

37. Venugopal, V., Baets, W., “Neural networks and statistical techniques in marketing research: A conceptual comparison,” Marketing Intelligence & Planning. Bradford, Vol.12, Iss.7, pp. 30-39, 1994.

38. Wang, X. Z., Yoshizawa, M., Tanaka, A., Abe, K. I., Yambe, T., and Nitta, S. I., “Automatic Detection and Classification of Abnormalities for Artificial Hearts Using a Hierarchical Self-Organizing Map,” Artificial Organs, Vol.25, Iss.2, pp.150-158, 2001.