Students' summer tourism: Determinants of length of stay (LOS)

Studies scrutinizing the economic aspects of student tourism at the micro-level are rare in the literature. Set against this background, the present study examines the variation in a sample of Norwegian students' length of stay at summer vacation destinations in 2014. Three estimation methods – an OLS regression model, a Weibull survival model and a zero-truncated negative binomial regression model – provide qualitatively similar results regarding how a number of determinants affect length of stay. In particular, the results show that daily trip costs, booking time, tourism and trip motives, trip month and gender explain much of the variation in length of stay. Of special interest is the comparison of two segments differing on when trip duration is determined: the “pre-fixed” returners (75% of the sample) and the “open” returners (25%). In this regard, the results suggest that the “open” returners stay longer on their trips than the “pre-fixed” ones. Finally, the study provides some implications for future length of stay research.     

A comparison of results of three statistical methods to understand the determinants of festival participants’ expenditures

The aim of the research reported upon in this study is to examine the impact of visitors’ socio-demographic and festival experience-related variables on expenditure levels and patterns of visits to festivals. Three statistical models including logit, OLS (ordinary least square) and Tobit models are employed to identify and examine the differences or similarities in results from three different approaches. A comparison of the three approaches using cross-section survey data generated differences in model fit. In addition, it was found that the set of independent variables which were significant in estimating festival visitors’ expenditures varied between the three models. As such the findings of this study suggest a singular statistical approach may be inferior to multiple ones in gaining a full understanding of the determinants of festival participants’ expenditure.     

The implicit measurement of destination image: The application of Implicit Association Tests

The previous studies about destination image measurement mainly focused on measuring tourists’ explicit cognitive processes without measuring their implicit cognitive processes. This study introduces the Implicit Association Test (IAT) into the domain of destination image measurement, and utilizes a traditional questionnaire to measure Chinese tourists’ perceived image of Japan and Hong Kong both at explicit and implicit level. Results show that Chinese tourists’ explicit preference between Japan and Hong Kong is insignificant, but there is significant implicit preference for their perceived image of Hong Kong over that of Japan. This study advances the research on destination image and enriches the method on the measurement of destination image.     

The long and winding roads: Perceived quality of scenic tourism routes

This study aims to understand self-drive tourists’ satisfaction with and loyalty toward scenic roads. Building on previous studies in the context of tourism destinations, satisfaction is hypothesised to be influenced by leisure and holiday motorists’ motivation for driving the routes and the provision of roadside facilities. In turn, satisfaction is assumed to increase motorists’ loyalty toward the route. The study comprises data from two scenic roads in Norway that differ with respect to landscapes formations, settlements, experiences along the routes, and travel distance. Data are analysed using structural equation modelling. Results show that roadside facilities play a crucial role in achieving overall satisfaction and loyalty among motor tourists, and that route managers should improve the quality of these and related infrastructure facilities and services. Moreover, the study indicates that it is important to take into consideration the motorists’ desire to experience attractive sceneries in order to increase overall route satisfaction. Finally, satisfaction is demonstrated to significantly increase route loyalty, although this relationship appears weaker than in conventional destination studies.     

An integrated model of tourists’ time use and expenditure behaviour with self-selection based on a fully nested Archimedean copula function

This study presents an integrated model of tourists’ time use, expenditure by explicitly incorporating the influence of destination visit behaviour based on the concept of self-selection. Inter-destination interactions (between time-use decisions, between expenditure decisions, and between decisions on both time use and expenditure) are incorporated by using a multilinear utility function. The study uses a Type-II Tobit model with a Frank-type fully nested Archimedean copula to deal with issues caused by correlation between these variables. The Archimedean copula is used to combine marginal distributions to obtain a joint distribution of error terms of utility functions with the help of dependency parameters. The effectiveness of the model is confirmed empirically by using data collected in the Tottori Prefecture of Japan in 2007. Dependence structures across destinations, inter-destination interactions and the relative importance of each destination in decisions are examined.     

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.     

Domestic tourism expenditures: The non-linear effects of length of stay and travel party size

The independent variables length of stay and travel party size are recurrent determinants of expenditures in micro level tourism studies. In most of this research it has been tacitly assumed that these variables have linear effects on tourism spending. This study, situated in a Norwegian setting, questions this approach by explicitly scrutinizing the possible non-linearities in the relationships between tourism expenditures on the one hand and length of stay and travel party size on the other. The empirical results suggest a positive but diminishing relationship between length of stay and tourism expenditures and a convex (i.e. U) relationship between travel party size and tourism expenditures. The study also considers how a number of other key independent variables affect tourism expenditures. Finally, some managerial and scholarly implications are discussed.     

Determining factors in the choice of prices of tourist rental accommodation. New evidence using the quantile regression approach

The disruption in destinations caused by the emergence of new forms of tourist distribution within the framework of the sharing economy gives rise to new challenges in terms of competitiveness, regulation and even investment. This article studies the determining factors that influence consumer decisions in the choice of rental accommodation using both ordinary least square models (OLS) and quantile regression (QR) estimation techniques. The results show the greater interpretative capacity of the QR, which reveals certain overlooked patterns of the relationship between some of the characteristics of the properties, the hosts or the socioeconomic environment and the price paid by the users. These results can facilitate decision making in the destinations by companies, society and the public sector.     

Brand personality of tourist destinations: An application of self-congruity theory

The purpose of this research was to investigate the perceived destination personality of Las Vegas and to examine the relationships among destination personality, self-congruity, and tourist’s behavioral intentions. A convenience sample of 382 visitors to Las Vegas was surveyed, and 368 usable questionnaires were analyzed. The findings of the study indicate that tourists ascribe personality characteristics to destinations and that the perceived destination personality of Las Vegas is five dimensional: vibrancy, sophistication, competence, contemporary, and sincerity. These dimensions have a positive influence on tourists’ intention to return and intention to recommend. The study also supports the self-congruity theory within the context of tourism destinations, indicating that both actual congruity and ideal congruity have a positive impact on behavioral intentions. The study concludes that self-congruity is a partial mediator on the relationship between destination personality and tourist’s behavioral intentions. The practical and theoretical implications are discussed within the contexts of destination branding and the self-congruity theory.     

The length of stay of tourists in Madagascar

Survival models are a type of analysis that investigate the length of stay of tourists in certain tourist destinations. This study analyzes the length of stay of tourists in Madagascar. A duration model is used to analyze the length of stay based on a questionnaire to ascertain the significant characteristics influencing the length of stay of these tourists. Policy implications are derived to improve the understanding and management of the length of stay of tourists.     

Perceived changes in holiday destinations

Small samples of tourists visiting Greece and Morocco were studied intensively to see whether tourists' post-travel images of these countries were different from pre-travel images. An adapted form of Kelly's repertory grid was used to assess the images. It was established that both travelers to Morocco and to Greece changed their images of the visited locations when compared to a control group of non-travelers. In addition, the tourists' country of origin (Britain), and countries similar to the visited destinations, were also seen somewhat differently after the holiday. While these findings apply only to a limited number of tourists of a particular type, this kind of study paves the way for more research on tourists' attitudinal changes.     

Web-based GIS in tourism information search: Perceptions,tasks, and trip attributes

People’s strategies and choices to utilize tourism information have shifted dramatically over the years following ubiquitous access to the Internet. Despite the fact that many tourism information searches on the Internet involve geo-spatial information through WebGIS, little is known about tourists’ behavioral patterns with this media. The purpose of this study was to examine tourists’ trip situations, tasks, and perceptions toward WebGIS. An electronic survey method and multiple regression technique were used to collect and analyze data. Findings indicate that ‘usefulness’ and ‘playfulness’ were the key factors that determined the level of usage and interaction. Users showed distinct behavioral tendencies under different trip situations and task performances when searching tourism information using WebGIS.     

A model of destination branding: Integrating the concepts of the branding and destination image

Despite the significance of destination branding in both academia and industry, literature on its conceptual development is limited. The current study aims to develop and test a theoretical model of destination branding, which integrates the concepts of the branding and destination image. The study suggests unique image as a new component of destination brand associations. It is proposed that the overall image of the destination (i.e., brand image) is a mediator between its brand associations (i.e., cognitive, affective, and unique image components) and tourists’ future behaviors (i.e., intentions to revisit and recommend). The results confirmed that overall image is influenced by three types of brand associations and is a critical mediator between brand associations and tourists’ future behaviors. In addition, unique image had the second largest impact on the overall image formation, following the cognitive evaluations.     

Determinants of Airbnb prices in European cities: A spatial econometrics approach

We examine the determinants of Airbnb prices in 10 major EU cities, focusing on the role of location. The results confirm that attributes related to size, quality, and location are all significant drivers of Airbnb rates. Novel indices based on TripAdvisor data are used to measure the attractiveness of neighbourhoods, and the results show a more robust impact on price than standard location variables based on selected points of interest. The analysis confirms that Airbnb prices are spatially dependent, requiring the implementation of spatial regression models. Following recent studies on spatial econometrics, we examine various spatial models, including specifications with multiple sources of spatial dependence. The results show significant differences between the coefficients estimated with OLS and the various spatial models, especially in the case of location-specific variables. As well as having managerial and policy implications, our study contributes to the hedonic price literature by providing a methodological guide on spatial regression models.     

Optimizing or maximizing growth? A challenge for sustainable tourism

Virtually all destinations seek to increase tourist numbers, pursuing economic maximization strategies. Considerably less attention is paid to optimizing existing tourist systems to create more profitable, stable, resilient and potentially more sustainable entities. While aspects of tourist expenditure, average length of stay and seasonality as three key destination management variables have received considerable attention in the literature, focus has usually been on the identification of “profitable” tourism markets by considering observed patterns of spending, length of stay and vacation timing. Building on such earlier studies, this paper focuses on flexibilities in these parameters: could tourists have spent more, stayed longer or visited during a different season? Perceptions of destination expensiveness as a potential deterrent to visitation were also addressed. Based on a sample (n = 1914) of domestic and international tourists in the Swedish cities of Kalmar and Stockholm, data were collected in face-to-face interviews using questionnaires. Results indicate considerable potential to optimize the Swedish tourism system with regard to all variables studied, while also providing new insights for destination management in the context of economic resilience. Results also indicate the need for researchers everywhere to have detailed market knowledge if they are to persuade the industry to change its sustainability behavior.     

Shopping behavior of Chinese tourists visiting the United States: Letting the shoppers do the talking

Chinese tourists visiting the U.S. were interviewed to explore their shopping behaviours and to understand their shopping experiences. This study revealed that the Chinese tourists were interested in a very large variety of U.S. merchandise, ranging from antique watches and jewellery to health products and running shoes. They perceived the quality of American products to be consistent with prices lower than similar products at home. Male tourists in the study tended to be more satisfied with their shopping experiences than females, but all informants expressed a desire for more Chinese-speaking sales assistants as well as Chinese shopping guides and signage. Informants asked that Chinese credit cards be accepted in the U.S. stores, and would encourage banks of both countries to find ways to cooperate with payment methods to make tourists’ shopping experience more enjoyable and free from inconveniences. Informants had a positive image of shopping in the U.S., especially when compared to some European and Asian destinations. Implications of both the methods and the findings for destination marketing strategies are also discussed in the paper.     

Length of stay of international tourists in Spain: A parametric survival analysis

The goal of this paper is to study the determinants of length of stay of international tourists in Spain using a survival analysis approach. We incorporate unobserved heterogeneity using frailty models to account for misspecification or omitted covariates. The explanatory variables included in the econometric model of tourist demand in terms of length of stay were selected according to the neoclassical theory of consumer choice and the information available in the Tourist Expenditure Survey undertaken by the Spanish Institute for Tourism Studies. We analyze to what extent the tourists' socio-demographic profiles and the trip characteristics determine length of stay. We find that the most important factors are country of origin, destination, and time and budgetary constraints.     

Tourists’ intention to visit a country: The impact of cultural distance

Culture has long been recognized as a possible reason why people in different countries make different decisions, but research into its impact in tourism contexts has been limited. This study addressed this gap by examining the influence of cultural distance on tourists’ destination choices. Five cultural distance measures were examined. Of the five measures, perceived cultural distance and Clark and Pugh's index were found to be most strongly related to Australian tourists’ intentions to visit a variety of holiday destinations. The perceived cultural distance measure appeared to be a better predictor and offers some advantages to researchers as it allows respondents to include relevant cultural information in tourism research. However, as Clark and Pugh's method provided similar information, cultural differences can be inferred when it is not possible to survey tourists directly.     

Visitors’ learning for environmental sustainability: Testing short- and long-term impacts of wildlife tourism experiences using structural equation modelling

Wildlife tourism experiences have the potential to positively impact tourists’ awareness, appreciation and actions in relation to the specific wildlife they encounter and the environment in general. This paper investigates the extent of such impact across multiple sites, and uses Structural Equation Modelling to identify factors that best predict positive long-term learning and environmental behaviour change outcomes. Three sets of variables were measured – visitors’ entering attributes (including pre-visit environmental orientation and motivation for the visit), salient aspects of the experience, and short- and long-term learning and environmental behaviour change outcomes. Although attributes such as pre-visit commitment and motivation to learn were among the best predictors of the long-term impact of the experience, there was evidence that aspects of the experience were also important. In particular, reflective engagement which involved cognitive and affective processing of the experience was found to be associated with short- and long-term environmental learning outcomes. The implications for wildlife tourism managers are discussed.     

Determinants of Length of Stay for Domestic Tourists: Case Study of Yixing

The length of stay of a tourist is one of the most important factors indicating consumption levels and revenue generation for certain tourist destinations. This study employs data from a tourist survey in Yixing, China, to investigate potential factors influencing a tourist's length of stay. Applying an ordered logit model, it is found that distance, age, organized tour, transportation, motivation, past visits and assessment of accommodation are some of the major determinants of a tourist's length of stay. The results indicate that traveling distance and the assessment of accommodation are positively associated with the length of stay. In addition, tourists with different modes of transportation, motivations and past visits have different durations of stay. Based on the estimation results from subsamples, it is also found that there are differences in determinants of length of stay between organized tourists and individual tourists, and among different age groups.