Search results

The purpose of this study is to provide a full understanding of library use patterns in their full temporal and spatial environment. By analyzing individuals' daily travel activity, this study seeks to measure the travel distance and travel time of library users in multi‐destination trip settings.

The data set for analysis was collected from the Metropolitan Travel Survey Archive, which stores 79 household daily travel data sets. Daily activities of 409 people who visited public libraries were extracted from the Puget Sound Region data set.

Through the analysis, four library access patterns were identified: single‐destination, en route, base camp, and trip‐chaining trips. Only 20 percent of library users made single‐destination trips, while 80 percent of users made trips of a multi‐destination nature; these are depicted by the latter three listed patterns. In particular, 62.2 percent of the activities fell into the trip‐chaining travel pattern. Such a pattern is defined as “discretionary activities which include a library visit.” Findings indicate that although travel distance is still a constraint to library access, travel time is a more informative factor than travel distance for gaining a richer understanding of the nature of library visits.

This study develops new measurements of travel distance and time, D_library and T_library respectively, enabling more accurate measures of travel distance and time, and further supporting precise measurements of the portions of multi‐destination trips most relevant to library visits.

This paper aims to examine the factors affecting travelers’ decision to select more than one destination in their trips. Drawn from the rational choice theory, this study posits that the selection of multi-destination tours, as a rational choice, is determined by the travelers’ perception of costs and benefits associated with that choice.

The conceptual model was developed from both an exploratory research with in-depth interview and the literature. A logistic regression model linking four explanatory variables representing perceived benefits and costs of multi-destination option with travelers’ choice of multi-destination trips. The conceptual model is controlled for diversity of travel purposes; tour group size; type of travel arrangement and travelers’ demographic characteristics while the research context of multi-destination travel within Phu Yen – Dak Lak – Gia Lai – Binh Dinh helps control for the characteristics of the destination set (spatial proximity and traffic convenience). The conceptual model was tested based on data collected from 1,361 Vietnamese travelers who have ever visited at least one of the four provinces.

This study finds that perceived benefits in terms of diversifying tourism experiences and perceived costs of traveling in multiple places compared to taking single trips represent the most significant drivers for tourists’ selection of multi-destination tours. In addition, the diversity of travel purposes and tour group size have a positive and significant impact on the demand for traveling more than one destination in a trip. Moreover, the richer, older and married travelers have a significantly higher tendency to select multi-destination packages.

The research findings provide important strategic implications for promoting multi-destination trips, thereby, maximizing economic benefits from tourism.

While multi-destination travel patterns have been examined empirically in individual studies sporadically without a common theoretical background, this research makes some progress on this front by using the rational choice theory to connect the relative contributions of those factors to the travelers’ choice of multi-destination trips. Specifically, this study provides a new perspective in explaining the selection of multi-destination trips – from tourists’ perceptions about costs and benefits associated with that choice.

The purpose of this paper is to explore the use of paid accommodation by international visitors who also stay with a friend or relative in another destination.

This paper conducts analysis of secondary data to look at the proportion of person nights in paid accommodation attributable to visitors who also stay with a friend or relative in another destination, and comparison of different visitor groups and their likelihood to use paid accommodation.

Results show that 14.5 per cent of all person nights spent by international visitors to Canada in paid accommodations were attributable to people who also stayed with a friend or relative in another destination. This proportion is higher for destinations outside of the largest cities and varies by source market.

This paper is limited the structure of the secondary data set, which does not separate visiting friends from visiting relatives, and does not capture host behaviour.

This paper has implications for destination marketers and tourism businesses as a source for reflection on drivers of their local and international business.

This paper helps position residents in a more central role regarding tourism in their regions and should encourage marketers and service providers to appreciate and engage residents as hosts.

This paper offers an original position by combining concepts from visiting friends and relatives and multi-destination travel that provides a foundation for further research in this area.

This chapter aims to identify the characteristics of transit tourists in Hong Kong. It shows that the USA, Germany, Australia, New Zealand, and India are the major generating regions of transit tourists. Transit tourists have more than 10 hours of transit-wait at the Hong Kong International Airport before connecting flights to the destination regions. Significant differences exist in travel and trip-breaking patterns among transit tourists from different generating regions. This study not only provides insights on the spatial movement of transit tourists but also serves as a prologue to future discussions on transit tourism, an emerging phenomenon of urban tourism.

Destination recommender systems need to become truly human‐centric in their design and functionality. This requires a profound understanding of human interactions with technology as well as human behavior related to information search and decision‐making in the context of travel and tourism. This paper seeks to review relevant theories that can support the development and evaluation of destination recommender systems and to discuss how quantitative research can inform such theory building and testing.

Based on a review of information search and decision‐making literatures, a framework for the development of destination recommender systems is proposed and the implications for the design and evaluation of human‐centric recommender systems are discussed.

A variety of factors that influence the information search and processing strategies that influence interactions with a destination recommender system are identified. This reveals a great need for data‐driven models to inform recommender system processes.

The proposed framework provides a basis for future research and development in the area of destination recommender systems. The paper concludes that the success of a specific destination recommender system will depend largely on its ability to anticipate and respond creatively to transformations in the personal and situational needs of its users. Such system intelligence needs to be based on empirical data analyzed with sophisticated quantitative methods. The importance of recommender systems in tourism marketing is also discussed.

The purpose of this paper is twofold. First, it highlights the emergence of Generation Z and the interface of its members with the tourism system. Second, by way of a theoretical model, the paper provides a more holistic approach to understanding Generation Z travel experiences in which the emphasis is shifted from the destination to the traveller. This is in keeping with the trend which lays more emphasis on people rather than landscape.

This is qualitative research founded on an interpretive (constructivist) paradigm. Selecting Generation Z as the subject locates this study under generational theory and assumes prima facie a socially constructed reality. The paper is based on research conducted in New Zealand aimed at understanding the travel experiences of inbound Generation Z travellers. Data were collected from 12 semi-structured interviews lasting about 30 min each and from 5 blogs. Nvivo 11 programme was used in analysing data and developing themes. Core categories and related themes were generated forming building blocks of a theoretical model.

Findings revealed interplay of multiple factors in Generation Z’s travel experiences at a destination. The factors are global in nature, destination centric and those which are immediate or proximate to the individual. To fully grasp the notion of experience requires the gestalt of the three as well as pre-trip, during-trip and post-trip factors.

The impact of significant events upon participants is assumed. A specific analysis of the events and the magnitude of their influence on the individual participants may be necessary.

Destination marketers tend to concentrate on psychological aspects to appeal to the traveller. The focus, in this case, is creating an attractive image in the mind of travellers to get them to come to the destination. This research suggests shifting the focus to understanding the evolving traveller.

Governments and tourism purveyors may require an ever-increasing budget to map out strategies to meet the continuously morphing needs of the future traveller. The constantly evolving global environment necessitates greater flexibility in institutional framework with less bureaucratic bottlenecks.

Generation Z is a relatively new entrant into the tourism market which makes this research relevant and timely. The paucity of academic literature on a generation which is contemporaneously in its “highly influenceable” period of life and entering adulthood in an increasingly changing world is further credence for this research. A more holistic theoretical model to understanding Generation Z travel experience is proposed.