พฤติกรรมของนักท่องเที่ยวจากจังหวัดเชียงใหม่ในการท่องเที่ยวเมืองรองในพื้นที่ภาคเหนือตอนบน

Abstract

This independent research aimed to study Behavior of Tourists from Chiang Mai Province Towards Travelling to Less-Visited Area in the Upper Northern Region A questionnaire was used to collect data from a sample of 385 Thai people living or working in Chiang Mai who had visited secondary cities in the upper northern region within 6 months. Data were analyzed using descriptive statistics such as frequency, percentage, Mean and inferring statistics including t-test and One-way Anova The results of the study found that most of the respondents were female, aged 15-25 years, single status, highest educational level, bachelor's degree, occupation of state enterprise employees. With an average monthly income of 15,000 - 29,999 baht, traveled to Lamphun Province in the past 6 months the most, with the second favorite province being Chiang Rai. My favorite reason is the attractiveness of the attractions. Travel by private car Most of them travel with family. There are travel information on the Internet. Influenced by tourism friends and family The duration of the trip is 1 - 2 nights, the frequency of traveling 2-3 times/year, and the average travel expenses are 2,001- 4,000 baht. A study of tourism components affecting tourists from Chiang Mai Province It was found that the most influential factor was the accommodation aspect. followed by the Facilities in tourist attractions The sub-factor with the highest average was the availability of clean restrooms for tourists. Tourism attraction The sub-factor with the highest average was the beauty of tourist attractions. access to tourist attractions The sub-factor with the highest average was clearly marked directions to tourist attractions. Service of tourist attractions The sub-factor with the highest average was a convenient communication channel. and tourism activities The sub-factors with the highest averages were the beauty of tourist attractions, respectively. when analyzing the data by gender It was found that male and female respondents had different behaviors regarding reasons for liking the secondary provinces and finding information about tourism. But they are not different in tourism components. when analyzing the data by age It was found that the respondents had different behaviors regarding reasons for liking the secondary provinces. finding travel information Travel Influencers and differ in some sub-elements of tourism attraction, access to tourist attractions Facilities in tourist attractions and tourism activities