Socio-demographic constraints to travel behavior

Purpose – This study aims to ascertain the effect of socio-demographic constraints on dimension of travel choice. This study also seeks to derive personal ecological explanations for variation in travel preference, travel intention and travel choice behavior of a wide range of destinations.

Design/methodology/approach – A large representative sample of 49,105 Australian respondents is utilized. Binary logistic regression is used to determine the impact of constraint variables.

Findings – Age, income and life stage have significant differential and interactive effects on travel behavior. Socio-demographic variables act in different ways to constrain/free different types of travel behavior. However there are significant levels of travel by even the most constrained groups as well as significant amounts of non-travel by the least constrained sectors of our society. These impacts are country specific.

Research limitations/implications – The travel motivations of constraint groups need to be considered to order better understand travel behavior. Investigation of psychological and ecological facilitators and constraints to travel is needed.

Practical implications – This information is most useful for market segmentation and the development of constraint group destination marketing plans. Managers can use utilize such results to minimize the barriers to travel by particular groups.

Originality/value – This paper utilizes a large database to provide insights into the personal ecological constraints to travel.

Understanding travel behavior using demographic and socioeconomic variables as travel constraints

Samdahl and Jekubovich (1997) view constraints as a subset of reasons for not engaging in a particular behavior. There is limited empirical research on the role of demographic and socioeconomic variables as travel constraints. This study investigates the relationships between a wide range of short and long trip planning and travel behaviors and sociodemographic constraints comprised of age, income and life cycle.

This research uses data generated from a cross-sectional, self-completed survey on travel and tourism which was collected during 2003 and 2004 from 49,105 Australian respondents. This paper utilizes binomial regression to find that age, income and life stage have significant differential and interactive effects on travel behavior. The results show that sociodemographic variables act in different ways to constrain/free different types of travel behavior. Implications are provided for national and state based tourism authorities. There is a need to understand these phenomena. Current research is addressing these issues.

Insights into international travel by students

Although research on international travelers abounds in the literature, international travel by students remains a neglected area of research. This article reports the findings from a survey of 370 university students in New Zealand. The survey identified student motives for undertaking international travel, the planning process, and the preferred destinations and methods of financing international trips. Logit models were developed and estimated for two important aspects of international travel by students. In addition, the study also included cross-cultural comparisons of travel behavior. The findings indicate that students traveling overseas represent a distinct market with specific needs and preferences. Travel behaviors vary significantly for different cultures and the article shows that it is possible to model such behaviors.

Preference mining techniques for customer behavior analysis

The thesis has studied a number of critical problems in data mining for customer behavior analysis and has proposed novel techniques for better modeling of the customers’ decision making process, more efficient analysis of their travel behavior, and more effective identification of their emerging preference.

Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos

Insight into tourist travel behaviors is crucial for managers engaged in strategic planning and decision making to create a sustainable tourism industry. However, they continue to face significant challenges in fully capturing and understanding the behavior of international tourists. The challenges are primarily due to the inefficient data collection approaches currently in use. In this paper, we present a new approach to this task by exploiting the socially generated and user-contributed geotagged photos now made publicly available on the Internet. Our case study focuses on Hong Kong inbound tourism using 29,443 photos collected from 2100 tourists. We demonstrate how a dataset constructed from such geotagged photos can help address such challenges as well as provide useful practical implications for destination development, transportation planning, and impact management. This study has the potential to benefit tourism researchers worldwide from better understanding travel behavior and developing sustainable tourism industries.

Identifying emerging hotel preferences using emerging pattern mining technique

Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences.

Differences within and between travel preference, planned travel and choice behavior of Australians traveling to Asian and oversea destinations

This study seeks to examine differences in travel preference, travel intention and destination choice behavior of an aggregated set of Australian travelers. Additionally the study seeks to relate income, age, gender, life cycle and life style of Australians to the preference, planning and choice of Asian and overseas destinations. A large representative sample of 49,000 Australian respondents is utilized. Binomial regression is used to profile travelers to Asia and overseas in general. Specific significant variables and differences are highlighted. There are consistent relationships between travel preference, planning and choice and the set of independent variables of income, life cycle and life style. Age nor gender are not consistently related to travel planning or travel choice. It is apparent that a combination of demographics, e.g. age, income and life cycle, combined with life style will provide a more valuable basis for segmentation of Asian and overseas travel markets. The study aims to profile potential Australian tourists thereby making a contribution to tourism knowledge and market segmentation practice.

A practitioner's report on the interactive effects of socio-demographic barriers to travel

Researchers have viewed constraints as a subset of reasons for not engaging in a particular behavior. This study investigates the impact of two-way interactions between age, income, and life stage (forming groups of more and less constrained respondents) on dependent variables comprising intentions held by Australian residents to travel intrastate, interstate or overseas for a vacation. A representative sample of 49,105 Australian respondents is utilized. Binary logistic regression is used to profile respondents who intend to take a domestic or an overseas holiday of more than three days duration. This paper finds that the interactions between the constraint variables of age, income and life stage are important in explaining travel preferences. Constraint groups are then formed by combining the important constraint variables. There are significant levels of vacation travel by even the most constrained groups as well as significant amounts of non-travel by the least constrained sectors of our society. Marketing insights and recommendations are provided for the most constrained travel group and the least constrained travel group.

Driving down daily step counts: the impact of being driven to school on physical activity and sedentary behavior

This study investigated whether being driven to school was associated with lower weekday and weekend step counts, less active out-of-school leisure pursuits, and more sedentary behavior. Boys aged 10–13 years (n = 384) and girls aged 9–13 years (n = 500) attending 25 Australian primary schools wore a pedometer and completed a travel diary for one week. Parents and children completed surveys capturing leisure activity, screen time, and sociodemographics. Commute distance was objectively measured. Car travel was the most frequent mode of school transportation (boys: 51%, girls: 58%). After adjustment (sociodemographics, commute distance, and school clustering) children who were driven recorded fewer weekday steps than those who walked (girls: –1,393 steps p < .001, boys: –1,569 steps, p = .009) and participated in fewer active leisure activities (girls only: p = .043). There were no differences in weekend steps or screen time. Being driven to and from school is associated with less weekday pedometer-determined physical activity in 9- to 13-year-old elementary-school children. Encouraging children, especially girls, to walk to and from school (even for part of the way for those living further distances) could protect the health and well-being of those children who are insufficiently active.