Study on Peak Travel Avoidance Behavior of Car Travelers during Holidays
نویسندگان
چکیده
Traveling during off-peak season can mean cheaper flights, hotels, and the chance to see a destination at less frenetic time of year. To alleviate congestion roads tourist attractions, better demand management plan is needed guide tourists avoid travel holidays. This study takes holiday tourists’ peak avoidance behavior as research object, Nested Logit (NL) model joint decisions was established based on Utility Maximization Theory. Model calibration elastic analysis were carried out using Revealed Preference/Stated Preference (RP/SP) survey data. Results show that attributes such number traveling together, companion, duration visit, previous visits, tourism motivation, type attraction, quality grade degree significantly influence decisions. Travel scope, duration, age, other factors The traffic around admission ticket prices, non-holiday prices Holiday price increases have strong impact decision change destination, while discounts weak behavior. findings this offer theoretical basis for management. It practical significant reasonably understand needs characteristics tourists, thus adjusting distribution flow.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su141710744