เปรียบเทียบวิธี

	Push-Pull Motivation Analysis	Destination Choice Experiment
สาขาวิชา	Tourism Recreation	Tourism
ตระกูล	Process / pipeline	Regression model
ปีกำเนิด	1979	2000
ผู้ริเริ่ม	Graham M. S. Dann; John L. Crompton	Jordan Louviere, David Hensher & Joffre Swait; applied to destinations by Twan Huybers
ประเภท	Two-force framework of tourist motivation	Stated-choice discrete-choice model of destination attribute trade-offs
แหล่งต้นตำรับ	Crompton, J. L. (1979). Motivations for Pleasure Vacation. Annals of Tourism Research, 6(4), 408-424.	Louviere, J. J., Hensher, D. A., & Swait, J. D. (2000). Stated Choice Methods: Analysis and Applications. Cambridge University Press. ISBN: 9780521788304
ชื่อเรียกอื่น	Push and Pull Factors Analysis, Push-Pull Travel Motivation, Dann-Crompton Motivation Framework	Destination Discrete Choice Experiment, Holiday Destination Choice Modelling, Stated-Choice Destination Selection, Destination Attribute Choice Analysis
ที่เกี่ยวข้อง	3	4
สรุป	Push-pull motivation analysis is the dominant framework for explaining why people travel and why they choose particular destinations, by separating two distinct forces. Push factors are internal, socio-psychological motives that create the desire to travel in the first place, such as the wish to escape routine, relax, gain prestige, or enhance one's ego. Pull factors are external attributes of destinations that draw travelers toward a specific place, such as scenery, climate, culture, attractions, and events. Graham Dann introduced the push-pull logic in 1977, arguing that the answer to 'what makes tourists travel?' lies first in push factors like anomie and ego-enhancement, and John Crompton's 1979 study gave it empirical shape by identifying socio-psychological and cultural motives behind pleasure vacations. The analysis measures both sets of factors, recovers their underlying dimensions, and examines how internal motives connect to the destination attributes travelers seek.	A destination choice experiment is a stated-preference technique that asks travellers to choose among experimentally designed hypothetical destinations, each described by a bundle of attributes such as price, travel distance, climate, the type and quality of attractions, and crowding. Grounded in random-utility theory and the stated-choice toolkit codified by Louviere, Hensher and Swait (2000), the method estimates a discrete-choice model that recovers the implicit weight travellers place on each attribute, the trade-offs they are willing to make, and the marginal willingness to pay for improvements. Huybers (2003) applied this framework to short-break holiday destination choices, showing how designed choice tasks reveal which destination features actually drive selection. Because the attributes are manipulated by design rather than merely observed, the experiment isolates the causal effect of each feature on choice in a way that revealed-preference travel data cannot.