Travel Factors Affecting the Travel Behavior of Family Groups in Bangkok after the COVID-19 Situation

Abstract

The objectives of this study were 1) to study the travel factors that affecting the tourism behavior of family groups in Bangkok after the COVID-19 situation, 2) to study the travel behavior of family groups in Bangkok after the COVID-19 situation, 3) for a comparative study general information and traveling factors of family groups in Bangkok after the COVID-19 situation and 4) to study travel factors affecting family travel behavior in Bangkok after the COVID-19 situation. The sample was a family group consisted 400 people living in Bangkok. The tool used was a questionnaire. Test the tool by checking the content integrity (IOC) and Reliability. The statistics used in the data analysis consisted of percentage, mean, standard deviation, T-Test, and F-Test or ANOVA. The results of the research found that most of them were female 66.30%, under 30 years old 32.50%, were families with children 56.50%, were families with one child 24.00%, were aged 13 years and over 46.00%, were working families employee/employee 40.50% and have a monthly income of 15,000 – 25,000 baht 32.00%. Level of family travel factor. Overall, it has at a high level. When considering each aspect, it was found that the first factor that families considered was safety, followed by the environment and the travel service platform on the website/application respectively. Travel behavior of family groups from the sample group, it was found that there will be 1 trip per month, used information from the internet/social media to decide, interested in natural attractions, interested in activities rest/eat and drink and traveled by private car. The hypothesis testing results 1) compare general information with travel factors revealed that it was found that gender, age, occupation and incomes differently consider the factors of family group travel the differently. Statistically significant was at the 0.05 level, and 2) travel factors affecting travel behavior, it was found that factors of travel budget affecting tourism behavior using private cars for traveled and the selection of tourist activities. Factors of travel service platforms on websites/applications affect the number of times thought of traveling, the data source for decision making, choosing to do tourism activities and the use of private cars to travel. Environmental factors of tourist attractions affect tourism behavior in using information sources for decision and choosing to do travel activities. The traveling time factor affects the number of times you plan to travel, the data source for decision making and the selection of tourist activities. And the factor of safety during traveling affects tourism behavior in using information sources for decision and the selection of activities.