Despite travel path patterns are the fundamental aspect of tourism phenomenon; little attention has been given to connect with traveler's types. This research, focused on the arrangement types of travel nodes, according to 350 valid questionnaires of conducting in-depth interviewing and questionnaires survey of travelers stayed at Dong-Gang area, and examined the relationship between the dependent variable of travel path patterns and the independent variable of traveler types using a multinomial logistic regression way. The results are as follow:
1. According to the extent of mindful plan before itinerary and average staying time at a tourist spot, the traveler types here may be reduced to three categories-depth travelers, hot-spots travelers and random travelers, among which hot-spots travelers account for the largest proportion of 84 % and depth travelers account for 10 %, while random travelers for 6 % respectively.
2. The assessment of the different properties of the three travel path patterns has some practical implications. It is recognized that travel path patterns here with single point to point, touring point to point and circular loop are more demonstrated by the travelers, accounting for 88%; while the travel path patterns with random exploratory and radiating hub are less in proportion, accounting for 5% and 7%.
3. A multinomial logistic regression was run with travel path patterns as the dependent variable and traveler types for the independent variable. The prediction (R2=60%) between the travel path patterns and the traveler types of Dong-Gang area is the more mindful planned travelers staying for over two days with radiating hub types and the random traveler staying for less than two days with random exploratory types.
Keywords: Travel path pattern, Traveler type, Multinomial Logistic regression
JING HUEI KAO, National Taichung University of Education, Taiwan
Stream: Arts & Humanities
This paper is part of the ACAH2013 Conference Proceedings (View)
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