Influence of hotel change frequency on the satisfaction of urban multiday personalized tourism itinerary
In designing urban multiday personalized tourism itineraries, hotel selection and the frequency of hotel changes are key factors influencing tourists’ satisfaction with the itinerary. To investigate the mechanism by which this factor affects itinerary satisfaction, this study proposes an urban personalized tourism itinerary design model that incorporates the frequency of hotel changes. A branch-and-bound algorithm is applied to obtain optimal tourism itineraries. Based on customer satisfaction theory, this study proposes a satisfaction evaluation model for personalized urban tourism itineraries across three dimensions: economy, convenience, and experience, and performs a satisfaction analysis of optimal tourism itineraries with varying hotel change frequencies. This study conducted case-based experiments using tourism data from Chongqing. The results indicate that personalized tourism itineraries based on a high-frequency hotel-change model outperform those of a low-frequency model across several indicators: average transportation costs decrease by ¥95, total distance travelled decreases by 47 km, and total rest time increases by 123 minutes. As luggage transfer services between hotels become more widespread, hotel selection and the frequency of hotel changes will have a greater impact on satisfaction with personalized urban tourism itineraries.
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