Dr.Warach - POST COVID Raw Data.pdf

The objectives of this research are to: (1) analyze the behaviour of Thai tourists traveling in the northern region After Covid-19, and (2) propose guidelines for management Planning tourism marketing for Thai tourists in the northern region for government agencies and entrepreneurs. It is quantitative research using questionnaire surveys with 400 respondents in 17 northern provinces. It was found that the northern province that most Thai tourists visited the most is Chiang Mai. The post covid-19 tourist behaviour of the Thais can be concluded as follow: (1) Thai tourists will use cash for their tourism spending, (2) they will travel as free independent travellers (FIT), (3) they will travel with their family, (4) they will use private vehicle, (5) they will travel 2 times a year, (6) they are likely to travel during the weekends, (7) the travel purpose is for recreation and eating, (8) they like to take pictures, (9) the Thai tourists find travel information mostly from the Internet, and (10) they prefer to spend about 1,001-5,000 baht each trip.<br>The researcher planned to collect questionnaires and interviews with Thai tourists by focusing on finding tourism behavior perception of tourism, the demand for tourism in the post-Covid-19 period, including the use of social media of tourists to analyze the behavior of Thai tourists. <b>Population/Samples</b> are 400 Thai tourists in 17 northern provinces. <b>Research Tools:</b> questionnaires and interview forms that has been checked for content validity and validity including through the Human Ethics Committee.<b><i>Data analysis</i></b><b><i></i></b> Quantitative data collection, the statistics were used to analyze the data as follows: 1) descriptive statistics is the statistics used to describe the samples that the researcher has collected data by using frequency, percentage, mean, and standard deviation; and 2) inferential statistics is a statistic that is used to analyze sample data in order to bring the obtained values ​​to explain or refer to the population, including hypothesis testing using Multiple Regression Analysis (MRA)<br>