Travel Willingness Research Articles

Chinese Tourists’ Perception of the Tourism Image of North Korea Based on Text Data from Tourism Websites

A good tourism image can significantly enhance the travel willingness and experience of international tourists. Most related research focused on the tourism image perception of world-famous cities, but research on the tourism image of North Korea is insufficient. We extracted text data from travel notes and reviews on Chinese travel websites. Subsequently, we used text mining and semantic network analysis to investigate Chinese tourists’ perception of the tourism image of North Korea. The results of the semantic network analysis show that tourism in North Korea consisted mainly of visits to the main cities and famous scenic spots, always with tour guides. Changes in high-frequency words indicated that Chinese tourists’ interest in North Korea’s history has weakened in recent years, and their interest in scenic spots and tourism products has increased. The results of the iterative correlation convergence analysis show that the topics relevant to tourists’ image of North Korea are composed of representative scenic spots, the Korean War, Kaesong city, the Pyongyang City, people’s lives, and other notable experiences. This research makes an empirical case for the study of tourists’ perception of the tourism image of North Korea and provides targeted suggestions for the sustainable development of North Korean tourism.

The Impact of Tourists' Environmental and Climate Satisfaction on Environmental Restoring Awareness in Seashore Tourist Resort

Wu, G.; Zheng, X., and Wang, Y., 2020. The impact of tourists' environmental and climate satisfaction on environmental restoring awareness in seashore tourist resort. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 208-210. Coconut Creek (Florida), ISSN 0749-0208.With the change of global environmental climate and the development of low-carbon economy, the development of low-carbon tourism has also been put on the agenda. In recent years, China's large-scale haze weather has had a certain negative impact on tourists' travel willingness and travel experience, thus reducing the level of tourists' travel satisfaction. Tourists are the real implementers of low-carbon tourism. Therefore, understanding tourists' perception and intention of low-carbon tourism is the key to developing low-carbon tourism and creating low-carbon scenic spots. Air quality has become one of the key elements of tourism demand. Therefore, it is of great theoretical and practical significance for the healthy development of tourism industry to scientifically evaluate the air value of tourism cities. The purpose of this paper is to analyze the impact of environmental satisfaction and climate satisfaction on the perception of environmental restoration in seaside resort, and to provide a new direction for exploring how the environment and climate affect the physical and mental health and restoration of tourists.

The effects of empathy and persuasion of storytelling via tourism micro-movies on travel willingness

ABSTRACTDomestic and foreign tourism marketing has adopted micro-movies as a new tourism information communication media in recent years. A tourism micro-movie compiles the story content to include the scenic spots and characteristics of travel destinations, thus enabling viewers to resonate with the leading characters and story plots when watching the micro-movie. Therefore, this study investigates tourism micro-movies and analyzes whether the empathy and persuasion developed by the story plots in viewers when watching them will affect their attitude and response to travel destinations and further induce their travel willingness.

Multi-agent modeling and analysis of EV users\u2019 travel willingness based on an integrated causal/statistical/behavioral model

An electric vehicle (EV) centred ecosystem has not yet been formed, the existing limited statistic data are far from enough for the analysis of EV users’ travel and charge behaviors, which however tends to be affected by many certain and uncertain factors. An experimental economics (EE) based simulation method can be used to analyze the behaviors of key participants in a system. However, it is restricted by the system size, experimental site and the number of qualified human participants. Therefore, this method is hard to be adopted for the behavioral analysis of a large number of human participants. In this paper, a new method combining a questionnaire statistics and the EE-based simulation is proposed. The causal relationship is considered in the design of the questionnaires and data extraction, then a multi-agent modeling integration method is introduced in the EE-based simulation, which enables the integration of causal/statistical/behavioral models into the multi-agent framework to reflect the EV users’ travel willingness statistically. The generated multi-agents are used to replace human participants in the EE-based simulation in order to evaluate EV users’ travel demands in different scenarios, and compare the differences of simulated or measured travel behaviors between potential EV users and internal combustion engine (ICE) vehicle users.

The Analysis of Value of Travel Time of Students in Guangzhou High Education Center

Travel time results from the process of travel, so the value of travel time is an important parameter for trip mode choice. The estimation of the value of travel time is the result of a comprehensive and multi-index calculation, which is affected by many factors. Using one questionnaire, this paper gets the data of travel willingness of Sun Yet-San University students in Guangzhou High Education Center. On the basis of the data, this paper analyzes the influence factors of value of travel time of students in Guangzhou High Education Center in detail. This paper improves the utility function considering travel time and cost, and establishes the concept of value of travel time of Guangzhou High Education Center students. Through the analysis of the public-transportation system to the outside of Guangzhou High Education Center at present, this paper provides optimizing suggestions.

Exploring Tourists' Leisure Farm Environmental Protection Behavioral Cognition and Travel Willingness

This study aims to explore the impact of tourists leisure farm environmental protection behavioral cognition on their travel willingness. The research population was visitors from ten leisure farms in Southern Taiwan. Out of 600 distributed survey questionnaires, 517 usable responses were returned with a high valid response rate of 72%. The study findings show that (1) tourists gender and age variables exert no significant differences regarding the impacts on tourists environmental protection behavioral cognition, (2) tourists with university educational background have higher leisure farm environmental protection behavioral cognition than tourists with high school educational level, (3) married tourists have higher environmental protection awareness than unmarried tourists, and (4) tourists leisure farm environmental protection behavioral cognition has high explanatory power toward forecasting travel willingness.

Leisure Travel Patterns of Zimbabwe's urban Population and Their Predictors

This study sought to measure the current leisure travel propensity of Zimbabwe's urban residents. The study was prompted by the limited information regarding domestic tourism worldwide and particularly in developing countries despite efforts by some of these countries such as Zimbabwe, Tanzania, and Rwanda to promote domestic tourism. There is therefore a need to provide updated information on domestic leisure travel patterns and their predictors. This may enhance the development of more appropriate domestic tourism strategies for the countries from which domestic tour packages and marketing strategies can be designed to stimulate this market. The data for this study were collected from a survey of 600 urban dwellers from the country's five major urban areas, namely Harare, Bulawayo, Gweru, Mutare, and Masvingo. A comprehensive self-administered questionnaire was employed to collect the relevant data on leisure travel patterns and willingness to travel for leisure. Cross tabulations, chi-square tests, and multivariate logistic regression analysis, using STATA version 11.0, were used to assess the association between the variables. A number of intriguing and interesting revelations were noted in this study. The key recommendation emanating from this study is the need for Zimbabwe and other developing countries to urgently establish agencies that conduct surveys on domestic tourism. Furthermore, due to the common dilemma of underfunding in these countries, institutions of higher learning, especially those universities offering tourism studies, could undertake these surveys using their research grants.