The purpose of the study was to investigate which environmental attributes of hot springs visitors take into consideration to. Four important attributes were identified from literature as well as a pilot study. They were converted into nine alternatives. A questionnaire consisting of verbal descriptions of the nine alternatives was used to collect data. The respondents were asked to rank the nine alternatives according to their preferences, and then an OLS regression was used to analyze the data. The results show that the form of the hot spring pool is the most important attribute and is followed by the degree of nature around the pool, the scenery, and the price. For the purpose of market segmentation, a k-means cluster technique with similarities of preference models was employed to categorize the visitors. Three segments were clearly identified and were named as “price sensitive, ” “pool from oriented,” and “nature oriented,” respectively.