Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80086
Title: แรงจูงใจในการท่องเที่ยวภายในประเทศหลังการแพร่ระบาดของโควิด-19 ของผู้อาศัยในจังหวัดลำพูน
Other Titles: Domestic traveling motivation after COVID-19 pandemic of Lamphun Province residents
Authors: มยุรฉัตร บำรุงพรไพศาล
Authors: ศรัญญา กันตะบุตร
มยุรฉัตร บำรุงพรไพศาล
Keywords: แรงจูงใจในการท่องเที่ยว;การแพร่ระบาดของ โควิด-19;Domestic Traveling Motivation After COVID-19
Issue Date: 24-Jul-2567
Publisher: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่
Abstract: This independent study aims to study Domestic Traveling Motivation After the COVID-19 Pandemic of Lamphun Province Residents. The data was collected by using the Questionnaires from 385 samples Lamphun Province Residents and Travelled within last one year. A Questionnaire was analyzed by using Descriptive statistics such as Frequency , Percentage and Mean and Inferential statistics such as t-test for compare between Domestic Traveling Motivated of Push and Pull Factors and Concerns of COVID-19 pandemic by Gender. Then One-Way ANOVA for compare between Domestic Traveling Motivated of Push and Pull Factors and Concerns of COVID-19 pandemic by Monthly income. The study was found that majority of respondents were females aged between 36-45 years old, with a monthly income of 30,001-45,000 baht. They primarily worked as government officials or state employees. Most of them traveled for tourism with their families, using cars to travel both to destinations in other provinces and within Lamphun province. Their most frequently visited destination province for tourism was Chiang Mai. They favored natural mountainous attractions, typically staying for 1-2 nights during their trips. They did not participate in any government policy, preferred staying at resorts, and spent between 15,001-20,000 baht on their trips. The main reason for their domestic tourism was the perceived affordability of travel expenses are not expensive The study of push motivations, The highest average of Sub-factors in each part such as Self-discovery is I sought to visit places highly valued and admired by the majority. Local experiences is I learn about arts, culture, history, and philosophy. Building relationships through new experiences is I sought to visit diverse landscapes. Escape is to reduce stress, pressure, anxiety, and dissatisfaction. Self-rejuvenation is restore balance in their lives. Self-development is cultivate spiritual values in life. Belief and faith is blessings or made wishes for their lives. The study of pull motivations, The highest average of Sub-factors in each part such as Engaging narratives is I deeply researched and studied the stories and origins of tourist destinations before traveling. SHA policy is I chose tourist destinations that implemented body temperature checks upon entry. Convenience of tourist destinations is I preferred tourist destinations with a pleasant atmosphere over compelling narratives. Local food and activities is I selected tourist destinations with diverse shopping options. Popular trends is I chose tourist destinations based on their reputation or popularity. Sports and festivals is tour services that provided access to history or culture. Beauty and safety is selected tourist attractions are safe. Privacy is I chose tourist destinations accessible by private vehicle. The study of concerns related to the COVID-19 situation .The highest average of Sub-factors in each part such as Social interactions is worried about traveling in public places. Economic is concerned that household income might not be sufficient to sustain living expenses. Health is worried that family members might contract COVID-19. Classified by Gender. It was found that there were differences in some sub-factors of Push factors such as Self-discovery, Local experiences, Adventure. Some sub-factors of Pull factors such as Engaging narrative and concerns related to the COVID-19 situation such as Social Interaction, Economic. Classified by Monthly income. It was found that there were differences in some sub-factors of Push factors such as Self-discovery, Local Experiences, Adventure, Self-rejuvenation Some sub-factors of Pull factors such as Deep Storie, SHA Policy, Sports and Festivals, Privacy and concerns related to the COVID-19 situation such as Social Interaction, Health.
URI: http://cmuir.cmu.ac.th/jspui/handle/6653943832/80086
Appears in Collections:BA: Independent Study (IS)



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