Modeling International Travel Arrangements for Taiwanese Travelers: Potential Fits

Abstract

This paper presents a choice model of international travel arrangements for potential Taiwanese FIT (Foreign Independent Travel) travelers. Previous studies were based mostly on package vacations, with little attention given to FIT travelers. Recent years have indicated a transition toward FIT. Since this transition is likely to continue, it is important for travel and tourism organizations and for marketers to understand FIT individuals. This study distinguishes potential FIT travelers from non-FIT travelers, identifies variables useful in making this prediction, and provides recommendations to travel and tourism organizations of host countries. The findings indicate that Taiwanese FIT travelers are likely to be younger, male, highly educated, budget conscious, travel with a larger party size for purposes of meeting interesting and friendly local people, stay for longer periods of time, and have taken many trips in the last three years that in volved spending at least four nights away from home.     

The Impact of Mexico's Currency Devaluations on Revenue from U.S. Tourists

U.S. visitors to Mexico increased by 120% between 1970 and 1987. Mexico's booming travel industry has increased nominal revenues from the U.S. by 375% and expenditures per tourist by 116% during this time period. Adjusting these data by a ratio index gives a more vivid picture of the impact of inflation and the peso devaluations over time. Trends in U.S. tourist expenditures to Mexico are shown to parallel exactly the movements of the ratio index bases on relative prices and exchange rates. Our modified regression analyses indicate that both real U.S. disposable income and the ratio index are excellent independent variables for the purpose of predicting number and expenditures of U.S. tourists to Mexico. Further, U.S. tourism numbers and expenditures are elastic with respect to each of these variables. The inconsistency between these results and past estimate may be the result of multucollinearity or autocorrelation in their data.     

The repeat travel market for Taiwan: A multi-stage segmentation approach

Despite the importance of market segmentation, the growth of the travel and tourism industry in Taiwan, and the repeat travel phenomenon in tourism, relatively few studies have examined the behavior of repeat travelers in the East Asia region. The present study was designed to fill this gap. This exploratory study applied multistage segmentation in the context of repeat travel behavior to Taiwan. It examined the socio-demographic profile, trip characteristics and expenditures of Taiwan inbound repeat travelers. The results indicated that nationality, income, type of travel arrangements and information search behavior significantly affected repeat travel behavior. In terms of travel expenditures, males spent significantly more than females. Those travelers between 40 and 60 years old tended to spend the most when they visited Taiwan compared to other groups. Chinese travelers were most likely to have traveled to Taiwan more than once among all nationalities compared in this study. Those from Korea and Japan spent the most money among all nationality groups. This study provided several significant implications for the marketers of tourism in Taiwan.     

Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study

The statistical modeling of tourists’ length of stay at destinations is a topic that recently has received much attention from tourism scholars. In this regard, so-called “survival models” have been introduced as a means of studying how a set of independent variables explain variation in the number of days tourists spend at destinations. This paper provides a critical look at these studies. There are two main findings. (1) The various justifications offered for favoring the survival models over the traditional OLS regression do not hold up under closer scrutiny. (2) An empirical study shows that the OLS regression model describes the association between a set of independent variables and length of stay at least as effectively as a battery of survival models. In line with the principle of parsimony it is concluded that future studies on tourists’ length of stay should abandon survival models if they are conducted along similar lines as the ones to date.     

Effects of Gender Differences on Perceptions of Destination Attributes,Motivations, and Travel Values: An Examination of a Nature-Based Resort Destination

This study examines the perceptions of the potential tourist market to a nature-based resort destination from the gendered perspective. The research reveals that significant gender differences exist about the perceived importance of destination attributes and travel values when potential nature tourists consider destination choices. After controlling for demographic and travel behaviour variables, such as age, marital status, education, household income, preference of price quote and length of stay, most gender differences remain significant. In addition, more significant distinctions between men and women are demonstrated after controlling for age and income level. The study provides insights into gendered perceptions of nature-based tourism settings. Specific marketing implications are discussed in an attempt to successfully attract nature tourists and provide a high-quality nature destination experience.     

Representing tourists’ heterogeneous choices of destination and travel party with an integrated latent class and nested logit model

Aiming at a better understanding of heterogeneous interdependencies between destination and travel party choices in tourism, this study attempts to simultaneously represent these two choices by integrating the nested logit model with the latent class modeling approach to accommodate both types of nested model structures together. Empirical analysis confirmed the effectiveness of the developed model, using a data collected from more than 2000 tourists in Japan. It was observed that on average the two types of nested model structures are almost equally shared by samples and the model structures could significantly vary with income level and gender. Influential factors related to choices of destination and travel party were also explored. Concretely speaking, travel time, attractiveness of destination and number of tourism spots were found to be important influential factors in destination choice, and gender, age, marital status have important effects on travel party choice.     

Nature-based Tourists: The Relationship Between their Trip Expenditures and Activities

This paper investigates the relationship between four groups of trip activities and the daily expenditures of a sample of visitors at two nature-based attractions in Northern Norway. The paper also examines some other potential factors by adopting a widely utilised twofold segmentation approach: light versus heavy spenders. The results of the logistic regression analysis indicate that there is a significant relationship between the importance attached to travel activities by nature-based tourists and their daily expenditure on a current trip. More specifically, the more individuals consider visiting historic/cultural sites as an important activity on their journey, the more likely they are to be light spenders, whereas the more they consider ‘challenging nature-based activities’ as important, the more likely that they will be classified as heavy spenders. The investigation additionally finds that travel motives, though to a lesser degree, when taken in tandem with variables such as trip length, trip purpose, age and household income, influence nature tourists’ daily expenditure.     

Move fast,travel slow: the influence of high-speed rail on tourism in Taiwan

High-speed rail (HSR) and tourism are closely related economic activities because improved mobility is perceived to facilitate tourist behavioral changes. This study examines the influence of HSR on the travel patterns of individual tourists in Taiwan in relation to time, space and carbon emissions. A framework is first provided to discuss how changes in the speed of intercity transportation will affect visitors’ choice of the journey, behavior at destinations and trip quality. In addition, HSR is expected to influence five general aspects of travel decisions relating to mobility and trip emissions, including mode selection, travel distance, length of stay per trip, annual travel frequency and total travel days. In the example of Taiwan, information by onsite sampling of 400 domestic travelers found that HSR had a weak influence on travel distance and length of stay per trip, but was observed to facilitate extended time at each stop, a deeper engagement with the locality, and an approximate 10% reduction in transport carbon emissions through intermodal substitution. These phenomena are in line with the slow travel concept of sustainable tourism consumption.     

The Wildlife Tourism Market to Kenya (2002–2003)

An understanding of the wildlife tourism market is fundamental for the development of a competitive and sustainable tourism industry. It is imperative to product development and segmentation, especially with regard to understanding trends in the market place. This study was undertaken to understand better the demographic preferences of wildlife tourists and to determine their preferences, expectations, and choices. Various personal and trip attributes of the visitors were considered. A linear structural relationship (LISREL) approach was applied in order to estimate the structural equation systems by using its maximum likelihood estimator. Using data from 1,566 tourists who had completed their holidays in Kenya, it was found that various forms of travel based on packaging do not significantly affect the preferences of tourists. However, tourists' characteristics and their trip attributes have significant effects on these variables. Advanced age, higher socio-economic status, larger group size, and shorter length of stay are associated with higher preference for wildlife viewing.     

Industrial Heritage Attractions: Types and Tourists

Abstract

Heritage tourism has become an important sector in the tourism industry. In fact, interest in heritage tourism among the American public increased 16% from 1991 to 1995. In spite of this surge in demand for heritage tourism little is known about tourists' visitation to “types” of heritage attractions and if their travel behavior characteristics are related to their patterns of visitation. This study examined both issues in the context of industrial heritage tourism. The results indicated that tourists were visiting “types” of industrial heritage attractions. In addition, there was a relationship between the type of trip they were on, the number of people in their travel party, when they made their decision to visit, and the total number of trips they had taken in the last 12 months and the “type” of industrial heritage attraction they visited.     

A Comparison of Ecolodge Patrons' Characteristics and Motivations Based on Price Levels: A Case Study of Belize

Ecolodges are an increasingly popular accommodation form. This study determined the demographic and trip characteristics, as well as the travel motivations of ecolodge patrons at three different price levels: budget, mid-price and upscale. Six ecolodges were studied in the Cayo District of Belize. Of 480 questionnaires distributed at the ecolodges, 331 valid surveys were returned (68.9% response rate). The clients of the Belizean ecolodges had some demographic characteristics similar to those of ecotourists found in other studies: middle-aged, highly educated, and employed with high levels of income. This study found consistency amongst the three groups in the most important travel attraction motives, with tropical forests and wilderness/undisturbed nature ranked highest by all groups. The study also showed consistency amongst the three groups with regards to travel social motives, with learn and explore nature the top-ranked social motive by all groups. The study found significant differences amongst the price levels on many variables, including: age, country of residence, education, employment status, income, party composition, trip length, length of stay at the ecolodge and level of ecolodge experience. There were important differences found in travel motivations and the importance of ecolodge attributes. The mid-price group was the hardest to please; they wanted a lower price, yet desired the quality, services and programmes of the upscale group.     

Understanding tourists’ leisure expenditure at the destination: a social network analysis

ABSTRACT

The aim of this study is to identify spending patterns of tourists in relation to the leisure activities performed throughout their day-by-day stay at the destination. Using the methodology of social network analysis (SNA), a tourists–activities bipartite network was identified following a pattern known as core–periphery. The effect of this structure (including typology, number, and timing of performing the activities) on tourism expenditure is analysed using a multiple regression model, to which were added different sociodemographic variables and other variables related to travel. In order to better understand the portfolio of activities, four examples of networks are studied and visually represented. This study reveals that through SNA between tourists and activities, we can study the behaviour of tourists in a novel way.     

Analysis of tour values to develop enablers using an interpretive hierarchy-based model in Taiwan

Tourism experiences in natural landscapes are considered an integral component of tourism value. Tourism experiences can also create a link between an individual and his or her spiritual needs. Thus, this study aims to utilize an effective approach to interpret individual, subjective human experiences in natural environments using interpretive structural modeling. This technique is used to build a hierarchy-based model and determine the mutual relationships among the enablers of tour value. In addition, this study uses the Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis to analyze the degree of influence of these factors and their degree of dependence on each other. To collect the empirical data, questionnaires were distributed to visitors at Grand Gangshan, a tourist destination in northeastern Kaohsiung, Taiwan. The results show that particular enablers (Internet marketing, the establishment of sales locations and planning for travel information services) have a high degree of influence and exhibit low dependence. These enablers require a great deal of attention because of their strategic importance to tourism development. The approach employed in this study provides a very useful tool for travel authorities to use to differentiate between the independent and dependent variables affecting tour value and to identify the relationships among those variables. Using this approach will allow the actors in this industry to focus on the most important variables for promoting the visitor experience in natural settings.     

A Case for Wanderlust: Travel Behaviors of College Students

A case for wanderlust, or a strong desire to travel, was developed in an elaborate study involving numerous variables. Findings indicate that wanderlust begins with early, and varied, travel experiences and continues and inspires future travel behavior. Overall, college students exhibit a high level of interest in both leisure and business travel. The impact of past experience is dramatic with a strong relationship between travel experiences prior to college, while in college, and expectations after college. A financial commitment to this desire to travel was also found, particularly among females who exhibited a higher level of wanderlust for leisure travel. Overall implications for the travel and tourism industry are discussed.     

Geographical aspects of state travel marketing in the USA

Almost all of the formal Federal and state government involvement in domestic travel marketing in the United States has been undertaken by state travel offices. Of particular interest to the geographer are state-to-state variations in the size and activities of these travel offices. In this discussion, differences in the total budgets of state travel offices are presented and compared to differences in state population and domestic travel expenditures by state. A three-fold classification of state travel marketing strategies with a geographical basis is then introduced. While the overall discussion provides some explanation for the differences observed, the conclusion is reached that political and other considerations regarding state travel offices are too subtle to be explained by just a few variables.     

国内外城镇旅游研究综述

自18世纪40年代以来,随着西方工业革命进程,发达国家经济发展迅猛,刺激了以定居为目的的城镇化进程以及以旅居为目的的旅游业发展。国外对城镇旅游的研究始于19世纪70年代,早期国外对小城镇旅游依附于城市旅游和乡村旅游的研究。直到20世纪70年代以后,才获得了独立的研究地位,研究的领域主要集中于旅游与城镇的关系,规划、经济与管理等。21世纪初,城镇化和旅游业两大经济浪潮推高了中国城镇旅游,其研究注重旅游对欠发达地区社会、经济和环境的综合效益研究,及对重大国家发展战略的溢出效益,其重心是城镇旅游开发与经营管理,近期开始关注城镇旅游的可持续发展问题。综述表明,城镇旅游及其研究越来越成为产业界和学术界的重大事件。     

Factors Affecting Outbound Tourists' Destination Choice: The Case of Hong Kong

Trip expenditure, length of stay during the trip, size of the travel party, monthly household income, discovering new places and/or things, and getting away from daily routine, role, obligation, stress and troubles have significant influence on Hong Kong residents' destination choice. Hong Kong residents' destination choice is highly associated with trip characteristic in comparison to socio-demographics and travel motivation factors. Destinations close to Hong Kong can focus on packaging their products with shorter trip lengths and making the packages attractive to travel companions in addition to the travelers. Destinations that are relatively far away from Hong Kong should focus on packaging their products to attract the Hong Kong outbound travelers with longer trip lengths and plan activities that cater to individual needs.     

Distinguishing the Destination Choices of Pleasure Travelers from Taiwan

Abstract

This study examined whether the destination choices of Taiwanese outbound travelers could be differentiated by their so-ciodemographics, travel characteristics, and benefits pursued. Using discriminant analysis, the results revealed that the choice of outside of Asia-Pacific region destinations was positively related to income level, education background, length of trip, party size, trip expenditure, inclusive package, and the benefit of ‘Value and Lifestyle’ of a Taiwanese traveler. ‘Safety Net,’ ‘Cost and Experience,’ and ‘Budget Travel’ were benefits pursued by within-Asia travelers. These findings can assist travel and tourism related organizations in developing marketing programs.     

Combining time-series and econometric forecast of tourism activity

It has always been difficult to model the travel industry because tourism involves such a diverse set of activities. However, various regional decision makers have become increasingly interested in predicting the flows of visitors through their market. Accurate forecasts of the number of tourists' arrivals, their length of stay, and their expenditures improve planning and inventory control. Stochastic time-series models have compared favorably with econometric models at the aggregate level while some naive automatic forecasting tools have fared well in comparison when predicting industry-level behavior. Several approaches have been developed to improve forecast accuracy. This paper presents parsimonious methods of improving accuracy by combining various forecasting techniques. The Box-Jenkins stochastic time-series method is combined with a traditional econometric technique to forecast airline visitors to the State of Florida.