TY - JOUR
T1 - A nuisance at sea
T2 - Decoding tourists’ comfort on whale watching vessels
AU - Chuang, Laurence Z.H.
AU - Chen, Chung Ling
AU - Kung, Che Wei
AU - Shih, Yi Che
N1 - Funding Information:
Helpful comments by anonymous reviewers stimulated constructive revision of this paper. The authors are pleased to acknowledge their significant contributions. The authors thank the Coastal Ocean Monitoring Center, National Cheng Kung University for the provision of data on sea conditions. This research was funded by the Ministry of Science and Technology, Taiwan (MOST 104-2410-H-006-110 ).
Funding Information:
Helpful comments by anonymous reviewers stimulated constructive revision of this paper. The authors are pleased to acknowledge their significant contributions. The authors thank the Coastal Ocean Monitoring Center, National Cheng Kung University for the provision of data on sea conditions. This research was funded by the Ministry of Science and Technology, Taiwan (MOST 104-2410-H-006-110).
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Because comfort on whale watching vessels is important to tourist satisfaction, this paper aims to identify its associated factors and establish a prediction model of comfort in the Taiwanese context. A survey of 1199 passengers was conducted over 41 voyages. Information on passenger characteristics, prior seasickness experiences, use of anti-seasickness tablets and self-assessed comfort were collected. Results indicate that gender, prior seasickness experiences and sea conditions were significantly associated with self-assessed comfort. A binary logit regression was employed to establish a prediction model of comfort with a correct classification rate of 76.6%. This model, serving as a recreation guide, preferably developed in the form of websites or Apps, facilitates visitors’ decision-making on whether to take trips or take precautions against potential discomfort. Future research was suggested on the robustness and refinement of the model and use of alternative scales in measuring comfort.
AB - Because comfort on whale watching vessels is important to tourist satisfaction, this paper aims to identify its associated factors and establish a prediction model of comfort in the Taiwanese context. A survey of 1199 passengers was conducted over 41 voyages. Information on passenger characteristics, prior seasickness experiences, use of anti-seasickness tablets and self-assessed comfort were collected. Results indicate that gender, prior seasickness experiences and sea conditions were significantly associated with self-assessed comfort. A binary logit regression was employed to establish a prediction model of comfort with a correct classification rate of 76.6%. This model, serving as a recreation guide, preferably developed in the form of websites or Apps, facilitates visitors’ decision-making on whether to take trips or take precautions against potential discomfort. Future research was suggested on the robustness and refinement of the model and use of alternative scales in measuring comfort.
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U2 - 10.1016/j.ocecoaman.2019.104915
DO - 10.1016/j.ocecoaman.2019.104915
M3 - Article
AN - SCOPUS:85070873340
SN - 0964-5691
VL - 184
JO - Ocean and Coastal Management
JF - Ocean and Coastal Management
M1 - 104915
ER -