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運輸學刊 TSSCI

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篇名 臺灣地區航空旅客國際機場消費行為模式之研究
卷期 27:2
並列篇名 Modeling the Shopping Behavior of Air Passengers at International Airports in Taiwan
作者 呂錦隆李宗純
頁次 281-310
關鍵字 航空旅客機場消費行為截斷式Tobit模式二元羅吉特模式Passenger shopping behaviorAirportTruncated Tobit modelBinary logit modelTSSCI
出刊日期 201506

中文摘要

以往雖有若干研究針對國際機場旅客消費議題分析,惟欠缺以行為模式 進行印證,本研究蒐集臺灣地區航空旅客在北南兩大國際機場之實際消費資 料,以二元羅吉特模式及截斷式Tobit模式分析旅客消費決策及消費金額與潛 在影響因素之關係,使成果更具理論基礎。模式分析將旅客區別為計畫性與 衝動性兩類消費傾向,結果發現旅客若對機場消費特性知覺強,則將提高其 在機場消費之機會,特別是人員服務佳會促進衝動性消費旅客消費金額之增 加 (有消費前提)。此外,若干個人特性與旅行特性變項,對影響計畫消費或 衝動消費旅客之消費意願及金額有不同的趨勢。旅客花費在消費的時間愈 久,則其消費金額也將愈高。最後,以自用或紀念,或是送禮、託購等之消 費,對計畫消費旅客或衝動消費旅客來說,部分正向影響消費金額。本研究 成果可供機場及商店營運者之參考。

英文摘要

Understanding air passengers’ shopping behavior at airports is one of the important issues for airport operation. A few studies in the past had investigated this issue, and there is a need to further explore the use of behavioral modeling techniques for analysis. This paper collected data of Taiwanese passengers’ shopping behavior at the two primary international airports in Taiwan - Taiwan Taoyuan International Airport and Kaohsiung International Airport, and adopted binary logit model and truncated Tobit model to model the shopping behavior of air passengers and their shopping amount. We further segmented the samples into two categories: pre-planned shopping passengers and impulsive shopping passengers. The model results reveal that if passengers have high perceptions on airport shopping, they will be more willing to shop at airports. Good employee services could particularly increase impulsive shopping passengers’ shopping expenditures (if they decide to shop). Certain variables related to passengers’ background and travel characteristics have reverse impacts on shopping decisions and shopping expenditures for either pre-planned shopping passengers or impulsive shopping passengers. If passengers spend more time on shopping, their expenditures will be more. Finally, if passengers shop items for self-use or memories, for gift giving, or for others asked, the spending will be higher for both groups of passengers. The findings have implications for airport and shop operators.

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