Travel recommendations form a major part of tourism service. The knowledge of changes in package holiday purchase behaviors is essential for travel agencies to design effective marketing strategies. It is one of the few studies that compared behavior patterns of holiday package buyers in the period before and during the pandemic. The study presented a meaningful contribution to understanding purchase behaviors of tourists who prefer package holidays. Compared to the pre-pandemic period, a significant increase in the number of tourists who needed personal contact with sellers at brick-and-mortar travel offices was observed.Ĭonclusions.
The conducted analysis made it possible to distinguish four segments of buyers during the pandemic and to identify factors determining the choice of one of the purchase patterns. The situation related to the COVID-19 pandemic significantly affected how tourists traveled. In the estimation process, GLM in R (R Core Team 2022) was applied. At the data analysis stage, logit models of buyers’ behaviors were used. The research on tourists purchasing package holidays during the COVID-19 pandemic was quantitative and covered a nationwide online panel of respondents characterized by a representative distribution for the general population of Poles (n = 1502). The study aimed at identifying the direction of changes in purchase behaviors regarding package holidays caused by the COVID-19 pandemic. The package holidays market is one of the tourism branches affected by the crisis the most. The dynamic increase in world tourism demand was interrupted by the COVID-19 pandemic. The results demonstrate that the suggested method outperforms previous approaches, such as NSGA-II, MOPSO, MOACO, and WSM, in terms of performance and solution quality and decreases real-time crowding by an average of 7%. To corroborate the performance of this approach, a case study was carried out in Dalian, China.
#TRAVEL JOURNAL PDF ARCHIVE#
An evolutionary algorithm is extended with container-index coding, mixed mutation operators, and a global archive to create a personalized day tour route at the urban scale.
#TRAVEL JOURNAL PDF UPDATE#
TTDP-CD attempts to minimize the perceived crowding and maximize the assessed value of destinations while minimizing the total distance and proposes a two-stage route strategy of “global optimization first, local update later” to deal with the sudden increase in crowding in realistic scenarios. In order to generate dynamic, personalized tour routes, this paper develops a tourist trip design problem with crowd dynamics (TTDP-CD), which is quantified with the crowd dynamics indicators derived from mobile tracking data in terms of crowd flow, crowd interaction, and crowd structure. Thus, crowd dynamics are critical to the quality of the tourism experience in personalized tour recommendations. Tourism activities essentially represent the interaction between crowds and attractions. Three characteristics are identified that distinguish the nature of independent travel: the traveler experiences an evolving itinerary, the traveler is willing to take risks in selecting vacation elements, and the traveler possesses a desire to experience the unplanned. The study demonstrates that the motivations for independent travel are reflected in the decision processes adopted by independent travelers.
#TRAVEL JOURNAL PDF SERIES#
Using an inductive-deductive process of research, a series of propositions was developed and tested using pattern-matching procedures. Travel parties were interviewed at both the beginning and the end of their vacations. In-depth case studies were completed on 20 international travel parties who were first-time visitors to New Zealand. This study examines the extent of travel planning by independent travelers, the extent to which travel plans are actioned, and the temporal sequence in which vacation elements are chosen. Independent travel is an important and growing sector of worldwide tourism.
0 kommentar(er)
