Estimating the economic value of Mount Buffalo National Park with the travel cost and contingent valuation models

The Mount Buffalo National Park is the oldest national park in Victoria, Australia. There has been a rapid increase in the number of visitors to the park during the last decade and park management has been a concern, especially in the light of declining budgetary allocations and potential damage due to the increased visitor numbers. Policy options to increase park revenue remain unclear because of a lack of information on demand parameters and user costs. This study estimates the economic value of the park using the travel cost method (TCM) and the contingent valuation method (CVM). The TCM gives higher consumer surplus (CS) than the CVM. The CS shows that the economic value of the park is high and that there are opportunities to introduce innovative fee schemes to enhance its revenue. Present entry fee systems do not capture the economic value of the park.

Volunteering abroad : motives for travel to volunteer at the Athens Olympic Games

Volunteers have become essential to the delivery of sport events. Megaevents, such as the Olympic Games, rely on a large number of volunteers for the successful running of the event, some of whom travel to volunteer. This study investigates the motives of a group of people who volunteered at the Sydney Olympics as they prepared to travel to volunteer at the 2004 Athens Olympic Games. Four key motives were identified: (a) nostalgia, (b) camaraderie and friendship, (c) Olympic (i.e., subcultural) connection, and (d) sharing and recognition of expertise. The motives identified distinguish event volunteer tourists from other volunteer tourists and from other event volunteers. It is suggested that the recruitment, retention, and reacquisition of event volunteers will be served by understanding the motives and experiences of repeat event volunteers.

Residential proximity to school and the active travel choices of parents

Issue addressed: Walking for transport can contribute significantly to health-enhancing physical activity. We examined the prevalence and duration of walking to and from school, together with perceived influences on doing so, among parents of primary school children. Methods: Questionnaires were completed by parents from four primary schools (one government and three private) located in south-east Queensland (n=559; 40% response rate). Results: Eighteen per cent of parents reported walking for at least 10 minutes during journeys to school. Significantly greater proportions of parents with only one car in their household, with a child who attended a government school, with no driver’s licence, who had less than 11 years of education, and lived within two kilometres of the school walked for at least 10 minutes during the school journey. Factors perceived by parents most strongly to influence walking to school were: being physically active; safety concerns for the child walking alone; not having to park; walking being the child’s preferred option; too much motor vehicle traffic; and their child’s age and level of road sense. Conclusions: Despite the overall low prevalence of walking to school by parents, health-enhancing benefits may be achieved even when other modes of transport are used in conjunction with walking.

Marketing research and small travel agents: an exploratory study

The research study reported on in this paper examined the marketing research (MR) orientation of small Australian travel agents. A survey was undertaken involving personal interviews with 91 travel agents in Melbourne, each agency having fewer than 20 employees. Agents were asked about their organisation with regard to MR, which MR activities were undertaken and wich MR techniques were employed. Additional questions gathered data on organisational and individual demographics, and some perceptual and attitudinal data. Although approximately half the respondents had no employee assigned to MR, the majority of agents reported engaging in most of the MR activities nominated, although most agents did not use most of the MR techniques covered in the study. Most general demographics were not related to MR participation, although greater devotion of resources to MR was reflected in more comprehensive usage of MR, and a more positive attitude to the cost-effectiveness of MR in small organisations. The desirability of travel agents considering seriously the role of MR in assisting in clarifying the future options for the sector is noted.

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.

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.

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.