| 摘要: | 根據交通部統計查詢網指出:國人出國旅遊人數，民國101年10,239,760人次，自此破1億大關後，更是逐年攀升，每年都增加100萬不等的出國次數，民國108年更是成長到17,101,335人次，創歷史新高。
根據過往研究顯示，疾病也成為影響旅客旅行決策之關鍵因素，2019年12月起中國湖北武漢市發現不明原因肺炎群聚感染事件，疫情初始感染患者之活動史多與武漢華南海鮮城有關，隨後在2020年初迅速擴散至全球多國，COVID-19的流行對全球的經濟造成了重大破壞和威脅，造成全球需求急凍，為避免擴大感染，各國限制出入境，對航空業而言，無疑雪上加霜，更是直接地影響國人出國旅遊的意願。
2003年SARS肆虐台灣，重創觀光產業，其後因防疫卓越，使WHO解除台灣旅遊警示，旅遊熱潮逐漸回溫，面對17年後捲土重來的疫情，台灣記取前車之鑑，防疫成果走在世界的前端，國內疫情緩和後，國旅大爆發，疫情期間出遊之風險，與平時相比以倍數成長，即便如此仍不減國人出遊之興致。
本研究以知覺風險、健康信念及預防態度與行為作為研究架構，當旅遊目的無法提供旅客安全保障時，將阻礙旅客前往旅行，尤其在目前COVID-19流行期間，國人願意在有風險的情形下，搭乘國內航班前往旅行，另外為了避免染疫，是否會採取預防行為，皆為本研究重點之所在。
本研究之資料分析工具採用SPSS 21.0與AMOS20.0之統計分析軟體，資料分析方法包括敘述統計、信度分析、相關分析、驗證性因素分析與結構方程模式。COVID-19於2020年1月起爆發，至同年6月國內疫情趨緩後，國旅大爆發，因此本研究鎖定之受測試對象為去年6月至今年3月止，有搭乘國內航空進行旅遊之本國籍旅客。本問卷所有研究工具皆採納國外學理建構完整之量表，已有多數研究驗證其良好的信效度，故本研究在此研究對象中的施測應具有相當之適用性。
According to the Ministry of Transportation and Communications (MOTC), the number of people traveling abroad reached a new record of 10,239,760 in 2012, and has increased by 1,000,000 each year since the 10 million mark.
According to previous research, the disease has also become a key factor affecting travelers' travel decisions. In December 2019, a cluster of unexplained pneumonia infections was found in Wuhan, Hubei, China. In order to avoid the expansion of the infection, countries restricted entry and exit, which undoubtedly aggravated the situation for the airline industry and directly affected people's willingness to travel abroad.
In 2003, SARS ravaged Taiwan and hit the tourism industry hard, but later, due to the excellent epidemic prevention, WHO lifted the travel alert for Taiwan, and the tourism boom gradually revived. The risk of traveling during the epidemic has doubled compared to the usual rate.
This research uses perceived risk, health belief, preventive behaviors as a framework to examine whether travelers are willing to travel on domestic flights under risky conditions and whether they will take preventions to avoid infection during the COVID-19 epidemic.
The data analysis tools used in this study were SPSS 21.0 and AMOS 20.0, and the data analysis methods included narrative statistics, reliability analysis, correlation analysis, validated factor analysis, and structural equation modeling. Therefore, the target population for this study was domestic travelers who traveled on domestic airlines from June of last year to March of this year. All instruments in this questionnaire are based on foreign theoretical constructs and have been validated in most studies. |
