Tourist Preferences Research Articles

체류형 관광자의 어메니티 인식과 만족 및 행동의도에 관한 연구 - 제주 체류 한달살기 경험자를 대상으로

The purpose of this study is to examine the impact of amenity perceptions of long-stay tourists on tourism satisfaction and behavioral intention. As long-stay tourists stay in a certain area for a certain period of time and engage in tourism behaviors, they are likely to strengthen their relationship with the area and develop into a settled population. Therefore, we set up amenities that represent local characteristics as spatial resources, and examined how long-stay tourists perceive the amenities in Jeju, and how their tourism satisfaction and behavioral intentions change according to their perceptions of the amenities. To achieve the objectives, a survey was conducted among long-stay tourists in Jeju during the month of April 2024, and 230 idle copies were obtained. The results of the empirical analysis showed that first, amenity factors have a significant effect on tourism satisfaction. Among the amenity factors of environment, convenience, and culture established in this study, environment has the most significant effect on satisfaction. Second, tourism satisfaction has a significant effect on behavioral intention. These results have academic implications for the development of a grounded theory of long-stay tourists. In addition, given that local amenities have a significant positive effect on tourism satisfaction and behavior, identifying the amenity preferences of long-stay tourists can be used as basic policy data for attracting a permanent population to a region.

중국 Z세대 여성 개별관광객의 특성

The impact of COVID-19 has led to shifts in the tourism patterns of Chinese visitors to Jeju. Traditional group tours, commonly associated with package tourism, are rapidly giving way to individual or small-group tourism involving solo travelers, friends, or families. Notably, there is a relatively higher proportion of young female tourists compared to males. This study aims to comprehensively grasp the tourism preferences and behaviors of individual female tourists from China's Generation Z through extensive Indepth interviews. The goal is to draw implications for Jeju's tourism infrastructure to adapt to the increasing demand from Chinese individual young female travelers. Participants in the study are individual female tourists in their twenties from China, and their psychological and behavioral characteristics related to tourism preferences are thoroughly analyzed. The subjects of the in-depth interviews were individual Chinese female tourists in their twenties. The study meticulously described their psychological characteristics and behavioural traits related to tourism demand. It is hoped that the results of this research will serve as useful foundational data for developing marketing strategies aimed at attracting more individual Chinese female tourists to Jeju Island in the future.

Ecotourism in the Age of Climate Change: A Comprehensive Analysis of Stakeholder Perspectives and Industry Adaptation

The present study tends to identify the dynamics of ecotourism in global climate change, focusing on stakeholders' perceptions and industry adaptation strategies. Climate change is currently challenging the tourism sector, especially at the level of ecotourism; hence, it becomes imperative to note how different stakeholders perceive these impacts and how the industry responds to them. This research looks into the potential implications of climate change in three areas: operation and profitability of tourist spots, changes in tourist demand, and socio-economic implications. In this regard, the researchers utilized the survey results on stakeholders: tourists, business operators, and local communities. For example, according to the results, all respondents perceived climate change's impact to be moderate. Specifically, moderate effects at operational and financial levels on tourist spots, shifting tourist demand, and broader socio-economic conditions are recognized. The results underline the need for targeted adaptation strategies to enhance business resilience to the changing climatic conditions, adapting to changing tourist preferences, and answering socio-economic challenges. The paper highlights the need for proactive steps toward the sustainability of ecotourism in the face of continuing change. Hence, it delivers actionable insight into what stakeholders would do to enable such navigation of the complexities of climate change.

Digital Applications and The Use of Information Technology in Increasing the Attractiveness of Foreign Tourist Visits

This study aims to analyze the role of the adoption of technology and digital devices in facilitating business processes in the tourism industry in terms of delivering interactive information to tourists, especially foreign tourists. This study uses a qualitative method. Data collection methods used in the study are literature reviews, field surveys, and observations. The results of the study show that many foreign tourists are active and regular in using information and communication technology with laptops, smartphones, and the Internet. The results of the study also concluded that applications such as digital maps are the most popular devices for planning travel. Although the demand for digital solutions is very high, there is a gap between the technology preferences of foreign tourists and the ability of industry players to adopt technology, the majority of tourism industry players still rely on conventional methods. Foreign tourists who are currently dominated by the digital generation show a fast understanding and adaptation of technology, this should be responded to quickly by tourism business actors in Indonesia in developing digital devices. The tourism sector needs to improve technology integration to improve the efficiency and relevance of information services. To meet the needs of foreign tourists and technology-savvy tourists, it is important to develop technological devices that can be used to provide information and are easily accessible

SATISFACTION OF INTERNATIONAL AND DOMESTIC TOURISTS IN MALAYSIA’S OLDEST NATIONAL PARK: TAMAN NEGARA PAHANG

This study evaluates the satisfaction of both international and domestic tourists within Malaysia’s oldest national park, Taman Negara Pahang, employing a quantitative methodology through a survey comprising eight distinct dimensions: amenities, service quality, natural allure, accommodation, food services, transport, recreational offerings, and expense. The researchers garnered a sample of 387 respondents via convenience sampling and analysed using frequency distribution and independent sample t-tests. Findings indicate a general satisfaction among tourists with their park visitation experience. However, the researchers identified that service quality, transport, and cost require substantial enhancements to elevate the tourist experience. While both tourist groups displayed similar satisfaction levels, international tourists reported marginally higher satisfaction across most dimensions except for recreational activities. Varying motivations, influenced by geographical origins, attribute this discrepancy to the criteria for satisfaction evaluation. The study underscores the importance of continual tourism demand for sustaining national park conservation efforts through revenue generation. The researchers anticipate that the insights derived from this research will guide enhancements in the performance of tourism products and services through diversified feedback. Marketing strategies tailored to cater to the distinct preferences of domestic and international tourists are recommended, especially for Taman Negara Pahang, which enjoys popularity among both visitor segments.

Catering to Luxury Chinese Tourists Demand: Insights from Malaysian Inbound Travel Agencies

ABSTRACT The shift toward luxury tourism has engendered a new class of high-end Chinese tourists, presenting significant opportunities for generating substantial revenue through premium tourism products and services. This study specifically explores Malaysian inbound travel agencies’ perceptions, preparedness, and challenges in attracting luxury Chinese tourists. Through qualitative interviews and thematic analysis, this study delves into nine Malaysian inbound travel agencies’ perspectives on attracting luxury Chinese tourists. The qualitative findings reveal distinct characteristics and preferences of Chinese luxury tourists, notably their substantial financial capability, penchant for shopping activities, preference for authentic local Chinese cuisine, and the significance of Mandarin-speaking tour guides. The Chinese tourists also seek high standards and exclusivity, aspire for unique experiences, and often desire customization in their travel itineraries. However, challenges surface in meeting their unique preferences, including limited infrastructures, the need for customization in luxury services, and bureaucratic hurdles. Despite these challenges, travel agencies assert their readiness to cater to the demands of Chinese luxury tourists, actively promoting and enhancing their high-end offerings. By delving into these aspects, the study provides valuable practical and academic insights into industry strategies and the complexities of serving affluent tourist segments within a multicultural destination.

Beyond static rankings: A tourist experience-driven approach to measure destination competitiveness

In the dynamic field of destination management, maintaining a destination's competitiveness requires understanding the evolving preferences of tourists. However, current research often adopts a static approach, failing to capture the dynamic nature of tourist needs and the evolving competitiveness of a destination. To address this, we introduce a novel approach using user-generated content from various social media platforms over a six-year period to assess key attributes that influence destination competitiveness. The results indicate that attributes in deciding destination competitiveness are not fixed, with some remaining stable factors in competitiveness, while others fluctuate over time. Attributes that even alter their competitive standing could significantly impact overall destination competitiveness. This research contributes a dynamic model that allows destination managers to adapt strategies in real time, aligning with current market conditions and enhancing competitiveness in the tourism industry.

Minahasan Traditional Food in Manado Songs

Various seafood items, such as octopus, fish, shrimp, lobsters, mussels, scallops, oysters, and others, are commonly displayed on ice. Popular seafood items like salmon, lobster, and shrimp are often collectively called "seafood." Although previous studies have explored the lyrics of Manado songs extensively, there remains a notable lack of research specifically focused on traditional Minahasan food names within these songs. The research utilizes a qualitative approach, specifically a phenomenological method, within an ethnographic research framework. The analysis aims to evaluate the frequency and preferences of international tourists regarding Minahasan cuisine. The research employs a combination of observation, participant observation, and interviews to gather data. Manado City and Minahasa Regency informants are selected using purposive sampling for interviews and observations. This perspective is supported by evidence showing that some communities can effectively engage with various forces. The finding show that the vocabulary of traditional Minahasa food names in Manado songs includes various types of Dabu-Dabu, such as Dabu-Dabu Biasa, Dabu-Dabu Lilang, Dabu-Dabu Iris, Dabu-Dabu Lemong, Dabu-Dabu Roa, Dabu-Dabu Cakalang, Dabu-Dabu Bakasang, and Dabu-Dabu Lompa. These terms illustrate the rich and intricate culinary diversity of Minahasa, showcasing the depth of local culture. Secondly, the meanings of these food names in Manado songs go beyond their literal definitions, serving as homonyms with social, cultural, and economic implications. These meanings highlight the profound relationship between food and Minahasa identity, underscoring food’s role as a symbol and essential element of their daily life and cultural traditions.

Several intuitionistic fuzzy hamy mean operators with complex interval values and their application in assessing the quality of tourism services.

In order to assess the quality of senior tourism services in vacation destinations, we examine complex interval valued intuitionistic Fuzzy Dombi Hamy Mean (CIVIFDHM) operators. These operators successfully manage imprecision and uncertainty in the preferences of senior tourists. However, the Hamy mean (HM) operator can identify the connections between various input data sets and produce excellent outcomes when combining and evaluating information. We illustrate their usefulness and efficacy through a case study, providing a strong instrument for improving service quality for senior citizens and promoting an inclusive and fulfilling travel experience. In this work, we develop the HM operator and Dombi operations with Complex interval valued intuitionistic fuzzy numbers (CIVIFNs). We recommend the CIVIFDHM operator, complex interval valued intuitionistic fuzzy weighted Dombi Hamy mean (CIVIFWDHM), complex interval valued intuitionistic fuzzy dual Dombi Hamy mean (CIVIFDDHM), and complex interval valued intuitionistic fuzzy weighted dual Dombi Hamy mean (CIVIFWDD) operators. Next, multiple attribute decision making (MADM) models are constructed with the help of CIVIFWDHM and CIVIFWDDHM operators. We provided an evaluation of an older tourism operator in a tourist area as an example to show the suggested models.

Interconnected Eco-Consciousness: Gen Z Travelers’ Intentions toward Low-Carbon Transportation and Hotels

Generation Z (Gen Z) is widely acknowledged for their heightened eco-consciousness. Nevertheless, a notable research gap persists in the empirical examination of eco-friendly preferences within this demographic group, particularly concerning low-carbon transportation and hotel selections. Utilizing structural equation modeling and data collected from 357 Gen Z travelers, this study investigates the interconnected factors influencing Gen Z travelers’ intentions toward adopting low-carbon transportation and making low-carbon hotel choices based on the theory of planned behavior (TPB). The results indicate that perceived value and environmental concern exert significant influence on the formation of attitudes, subjective norms, and perceived behavioral control among Gen Z travelers. As a result, these psychosocial constructs make a substantial contribution to the intention of Gen Z travelers of adopting low-carbon tourism behaviors. Additionally, the study uncovers a positive correlation between the propensity to use low-carbon transportation and the inclination to choose low-carbon hotels for accommodation. These findings underscore the interconnected facets of Gen Z’s preferences for low-carbon tourism, thereby indicating the prospect for collaborative efforts to bolster sustainability within the tourism industry.

온라인 리뷰를 활용한 전통시장 인식 및 이미지 분석

Recently, in efforts to revitalize traditional markets, the Ministry of Culture, Sports and Tourism of South Korea has put forth the 'K-Tourism Market' project that seeks to develop entertainment, food, and other attractions and turn them into tour routes. Traditional markets are where local residents and tourists interact with one another and enjoy various social and economic benefits. Directing tourists to traditional markets can help address the population decline issue pervasive in South Korea. This study tried to understand the behaviors and preferences of tourists to traditional markets by examining their perceptions and images. To this end, Google online review data were collected and analyzed via big data analysis, frequency analysis, N-gram analysis, centrality analysis, and CONCOR cluster analysis. From this, four major clusters were identified. This study helped expand and enrich research methodology by conducting systematic big data analysis of online reviews from traditional market tourists. Furthermore, by identifying the needs and expectations of tourists, this study can help practitioners improve traditional market service and experience quality.

The Role of Websites in Promoting Wine Tourism: An Evaluation of Romanian Wineries

While aspiring to become internationally valued producers of high-quality wines, certain Romanian wineries recently turned towards wine tourism. Given the increasing role of smart devices and online-based information in holiday selection and planning, the main objective of the paper is to evaluate the online presence, informational content and effectiveness of Romanian wineries’ websites for the promotion of wine tourism. This evaluation comprised 53 features tested in previous research and organized into four categories: main website characteristics, wine tourism, marketing, and education. Based on content analysis conducted on 154 websites of wineries identified in all Romanian regions, scores were computed and, subsequently, wineries were classified, mapped, and evaluated. The findings show that certain basic features are overall available, while exclusive features that could positively influence tourist preferences and experiences are insufficient in terms of design, education, and marketing characteristics. Less than 50% of the analysed websites inform about wine tasting activities, less than 35% specify visiting hours, and less than 20% mention tourist amenities. The websites that indicate other local wineries, allied industries or tourist attractions represent exceptions. This study underlines the importance of leveraging digital tools within the marketing strategy of wineries and the need to enhance networking among regional stakeholders as prerequisite for sustainable development.

Multi-Objective Optimization of Resilient, Sustainable, and Safe Urban Bus Routes for Tourism Promotion Using a Hybrid Reinforcement Learning Algorithm

Urban transportation systems in tourism-centric cities face challenges from rapid urbanization and population growth. Efficient, resilient, and sustainable bus route optimization is essential to ensure reliable service, minimize environmental impact, and maintain safety standards. This study presents a novel Hybrid Reinforcement Learning-Variable Neighborhood Strategy Adaptive Search (H-RL-VaNSAS) algorithm for multi-objective urban bus route optimization. Our mathematical model maximizes resilience, sustainability, tourist satisfaction, and accessibility while minimizing total travel distance. H-RL-VaNSAS is evaluated against leading optimization methods, including the Crested Porcupine Optimizer (CPO), Krill Herd Algorithm (KHA), and Salp Swarm Algorithm (SSA). Using metrics such as Hypervolume and the Average Ratio of Pareto Optimal Solutions, H-RL-VaNSAS demonstrates superior performance. Specifically, H-RL-VaNSAS achieved the highest resilience index (550), sustainability index (370), safety score (480), tourist preferences score (300), and accessibility score (2300), while minimizing total travel distance to 950 km. Compared to other methods, H-RL-VaNSAS improved resilience by 12.24–17.02%, sustainability by 5.71–12.12%, safety by 4.35–9.09%, tourist preferences by 7.14–13.21%, accessibility by 4.55–9.52%, and reduced travel distance by 9.52–17.39%. This research offers a framework for designing efficient, resilient, and sustainable public transit systems that align with urban planning and transportation goals. The integration of reinforcement learning with VaNSAS significantly enhances optimization capabilities, providing a valuable tool for mathematical and urban transportation research communities.

Are heterogeinity and conflicting preferences no longer a problem? Personality-based dynamic clustering for group recommender systems

The complexity associated with groups of tourists led to the emergence of Group Recommender Systems (GRS) for tourism. But if generating recommendations for small groups is a complex task, to provide them to large and occasional groups is even more. This complexity is especially due to the group’s heterogeinity, conflicting preferences, the information overload found on the internet and the tourists’ different ways of coping with the information, hindering the recommendation process from the users’ profile construction to the final recommendation of a list of points of interest to visit. In this work, we show how we tackled the identified issues in a GRS prototype, Grouplanner, including the cold-start problem, by predicting the tourists’ preferences based only on their personality and dividing the main group into subgroups of similar personality; by using a Multi-Agent Microservice; a novel dynamic clustering algorithm, d-means, adapted from the k-means algorithm, that does not need to know the number of clusters a priori; and association rules. Using a personality dataset of n=100k users, the proposed d-means algorithm was tested against two baselines (k-means and k-means++), showing better results in the clustering quality and scalability. We were also able to determine a large set of association rules to refine the recommendations, although further improvements are needed. To test the Grouplanner prototype, a simulation with real users (n=35) was conducted. The results showed the subgroups formed were very compact, revealing a very good clustering quality, with an average silhouette of s = 0.91. 11 of the 15 proposed tourist preferences were successfully predicted and used for the preliminary recommendation lists, being 92 % of the participants satisfied with the individual recommendations and 96 % with the group recommendations.

View Preferences and Tourism Attraction Resources at Mangrove Guraping Tourism Objects, North Oba District, Tidore City, North Maluku Province

Mangrove forest tourism is a form of tourism activity by traveling around the mangrove forest area and enjoying all the uniqueness contained in it. The choice of a tourist location as a tourist destination is greatly influenced by tourist preferences and ecotourism resources are closely related to attractiveness. Elements of attraction include natural beauty, the abundance of prominent resources, the uniqueness of natural resources, the integrity of natural resources, the choice of recreational activities, and the diversity of natural resources. The aims of this research are: determining tourist view preferences and determining tourist attraction resources at the Guraping mangrove ecotourism object, North Oba District, Tidore Islands City. The data collection process includes field observations, distributing questionnaires, interviews, tourist view preferences and potential tourism resources. The research results showed that the preference for tourist views of the Guraping mangrove tourist attraction was that the mangrove forest landscape obtained the highest SBE value, while the village landscape obtained the lowest SBE value. Potential ecotourism attraction resources that can be developed include mangrove forests with fauna/diversity, bays and beaches, fish ponds and villages with social culture.

The future of events in the tourism industry: the case of the “Best of the Best Things to Do 2023” on TripAdvisor

PurposeThis study aims to use TripAdvisor data to identify which themes and events will attract more interest in the future of tourism activities and to provide guidance to the industry accordingly.Design/methodology/approachThis study used qualitative case study approach. To identify key themes in the top-rated activities, thematic analysis of user-generated content was conducted through MAXQDA 2020 Analytics Pro software.FindingsThe findings of this study indicate a growing trend in tourist preferences, with a notable increase in the popularity of wellness activities such as spa treatments and yoga retreats. Tourists also highly prefer cultural experiences like local festivals and historical tours, adventure activities such as hiking and water sports, and food-related activities like cooking classes and wine tastings. There is a significant trend towards sustainable and environmentally friendly tourism activities. These results underscore the need to cater to diverse tourist interests in developing future tourism offerings.Practical implicationsDeveloping innovative events, using data-driven marketing strategies, involving local communities, and catering to diverse preferences can enhance the sustainability and competitiveness of the tourism sector.Social implicationsUnderstanding tourists' tendencies towards cultural, adventurous and sustainable experiences helps tourism operators and managers to create offers that satisfy tourists while promoting environmentally friendly practices. This shift promotes cultural preservation, environmental protection and community involvement.Originality/valueThis study uniquely analyzes top-rated TripAdvisor activities to identify key trends in tourist preferences, highlighting the growing demand for cultural, adventurous, gastronomic, and sustainable tourism.

Using Wi-Fi Probes to Evaluate the Spatio-Temporal Dynamics of Tourist Preferences in Historic Districts’ Public Spaces

Tourist preferences for public spaces in historic districts can reflect whether renovated spaces and functional structures meet tourism demands. However, conventional big data lack the spatio-temporal accuracy needed to support a refined, dynamic study of small-scale public spaces inside historic districts. This paper, therefore, proposes using a Wi-Fi probe to evaluate the spatio-temporal dynamics of tourists’ spatial preferences in historic districts. We conducted a one-week measurement in the Xiaohe Street Historic Block in Hangzhou, China. Three indicators—visit time preference, aggregation preference, and stay preference—were used to examine the dynamic change in tourists’ spatial preferences, with 15 min as the time unit and public spaces with a radius of 25 m as the spatial unit. Our research demonstrates that, compared with conventional big data, the Wi-Fi probe offers a more reasonable and accurate method to measure tourists’ spatial preferences in historic districts at a smaller time and spatial granularity. The research findings can be applied to evaluate the effectiveness of spatial regeneration and diagnose renewal-related issues in historic districts. It can also serve as a foundation for more precise planning of public spaces in historic districts, as well as the modification of functional structures.

Is the ancient city of Benin Kingdom a preferred tourist location? A qualitative-based study to achieving sustainable development Goal 11

Studies on preferred tourist locations focus on developed countries and selected Asian cities. Many African cities like the Ancient City of Benin Kingdom (ACBK) have been grossly under-researched in global extant literature regarding preferred tourist locations and how they may improve achieving Sustainable Development Goal 11 (Goal 11). Thus, this study examines the attributes of a tourist location. Also, it investigates perceived barriers facing the ancient city and suggests measures to improve achieving the ACBK as a tourist location and, by extension, improve achieving Sustainable Development Goal 11 in Nigeria. The study adopted qualitative research and collected primary data via face-to-face interviews and observations of tourist locations. A convenient sampling technique was used to select 30 knowledgeable participants. The researchers analysed the collected data manually. Findings reveal nature destinations (historical/archaeological), natural attractions, ecotourism/wildlife, landform areas, prompt quality services, basic amenities/infrastructure, mangrove forests, and safety/security as the attributes of a global tourist location. Findings show that the sustenance of these attributes will improve achieving Goal 11. Also, the findings identified the barriers and recommended measures to mitigate them and, by extension, promote ACBK as a preferred tourist location and improve achieving Goal 11. This study reawakens the need for all-inclusive tourism planning management and marketing in developing countries.

Environment and blue tourism: Moving towards sustainability—6th maritime tourism observatory for Skyros Island

<p class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph; line-height: 120%; mso-pagination: none; layout-grid-mode: char; mso-layout-grid-align: none; text-autospace: none; margin: 12.0pt 0cm 6.0pt 147.4pt;"><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 11.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;">Ports are some of the most significant entry points for Greek tourism investments and can be characterized as “development tools” for the country, both at the local and national level. The blue economy is a recent example of economic development, globally promoted as a way to achieve sustainability in maritime and coastal areas. Linaria Port has been accredited by the United Nations as “the blue port with a shade of green”</span><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 11.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN;">,</span><span lang="EN-US" style="font-size: 10.0pt; mso-bidi-font-size: 11.0pt; line-height: 120%; font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;"> constituting an environmentally sustainable community capable of promoting responsible environmental behavior both within the local community and among tourists. The port has been highly competitive in achieving high sustainability standards and mainly operates in ways that complement environmental quality. It has presented innovative, competitive, and sustainable solutions since 2010. This research aimed to collect primary and secondary data on tourist preferences to evaluate these services. Evaluation was conducted through anonymous questionnaires divided into two parts: the first part concerned the tourist profile, and the second part concerned tourists’ opinions on the services and facilities of the port and the island. In the evaluation of the port, 91% of respondents rated the marina positively compared to other ports in the country, while 77% ranked the port of Skyros in a good position compared to other European or international ports. The overall quality of the tourist product was positively evaluated at 89%, while 90% of visitors were generally satisfied with the overall services offered. Moreover, 95% would return to Skyros within the next few years.</span></p>

Incidental negative emotions and tourist destination preferences: A choice model during lockdown

AbstractIncidental and discrete emotions can influence tourist decision‐making and their preferences for destinations with different types of attractions and activities. In this explorative study, we apply a choice model and the cognitive appraisal theory of emotion to examine the influence of those negative emotions that emerged during Australia's lockdown on tourists' anticipated destination preferences. We find that negative emotions were influenced by both pre‐lockdown emotions and lockdown conditions. Negative emotions exert a significant impact on tourists' selection of destinations and influence their attitudes toward social distancing measures. Travel motivations and gender also affect tourist preferences. Finally, we address the theoretical implications of this study regarding the impact of incidental emotions on travel preferences and make practical suggestions to practitioners on providing targeted products and adjusting management and marketing strategies.