The relation between push motivation and activity consumption at the destination within the framework of a destination card

Zoltan, Judit; Masiero, Lorenzo

doi:10.1016/j.jdmm.2012.09.002

Cited by 34 publications

(40 citation statements)

References 30 publications

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“…Among the most notable is the size of segment 3 -with the least expenditure and activities undertaken-more than doubling in 2010, similar to findings by Ma et al (2015). It might prove useful for destinations to offer low-budget and low-involvement activities to encourage members of this segment to engage in at least some activities, for instance by means of destination cards (Zoltan & Masiero, 2012). Aside from segment 3, we have shown that during economic crises many segments change their size and decreases can be expected, especially in spending on activities.…”

Section: Discussionsupporting

confidence: 56%

Destinations and crisis. Profiling tourists' budget share from 2006 to 2012

Ferrer-Rosell

Coenders

2018

Journal of Destination Marketing & Management

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Tourist spending behavior is not only relevant in terms of volume but also in terms of trip budget composition or allocation (share or proportion of total trip budget allocated to transportation, accommodation or activities). This paper aims to profile expenditure patterns before, during and after the economic crisis, and how they affect destinations. Clustering methods and compositional data analysis is used as an appropriate statistical approach to analyze share. Incoming tourists to Spain are segmented by trip budget share using repeated cross-sections of official statistics data (2006-2012). One of the main findings is that segments are heterogeneous in their cutting back on expenditure during the economic crisis, and segments increasing in size during the crisis not only spend less but also have the lowest activity share. Furthermore, the paper identifies one of the segments being particularly attractive for destinations in terms both of total expenditure and expenditure profile, with a high activity expenditure share and usually flying with low-cost airlines. The paper contributes to understanding tourist consumer behavior in terms of expenditure pattern at micro level in times of economic recession and its implications for particular destinationsThe authors acknowledge the support of the Catalan Autonomous Government Consolidated Research Group Grant 2014SGR551 funding the research group ‘Compositional and Spatial Data Analysis (COSDA)’; the Spanish Health Ministry Grant CB06/02/1002 funding the research group ‘CIBER of Epidemiology and Public Health (CIBERESP)’; the Spanish Economy and Competitiveness Ministry /FEDER Grants MTM2015–65016-C2–1-R and EDU2015–68610-R funding the projects ‘COmpositional Data Analysis and RElated meThOdS (CODA-RETOS)’ and ‘Assessing Individual and Team Entrepreneurial Potential’; and the University of Girona Grant MPCUdG2016/069 funding the project ‘Statistical and Econometric Modeling’

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Section: Discussionsupporting

confidence: 56%

Destinations and crisis. Profiling tourists' budget share from 2006 to 2012

Ferrer-Rosell

Coenders

2018

Journal of Destination Marketing & Management

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“…Some people, no doubt, purchased the card here in transit to other parts of the Canton. In addition, Maggiore tends to appeal more to the repeat visitors, and as Zoltan and Masiero (2012) note, repeaters Tourism Geographies 23 tend to purchase these cards less frequently. Cards were purchased mostly in larger urban centres, where the main tourist offices, train stations, boat docks and most hotels can be found.…”

Section: Methodsmentioning

confidence: 99%

Analysing intra-destination movements and activity participation of tourists through destination card consumption

Zoltan

McKercher

2014

Tourism Geographies

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This study investigates tourist behaviour in the Canton of Ticino Switzerland, a geographically dispersed destination, by analysing use patterns of a 'destination card' sold by the local destination management organization. Destination cards offer free or highly discounted entry into partner attractions and activities often coupled with free public transport access in the area. Within this context, the study sought to determine if evidence of concentrated behaviour existed, either spatially or by activity. Cluster analysis revealed four discrete market segments. Three of them showed a high degree of spatial concentration in their movements, augmented by some clearly defined activity preferences. The fourth showed no clear pattern, travelling widely throughout the Canton and sampling a range of activities. Hence, the combination of transport and attractions' entrance appeals to two different user groups, one looking to gain access to attractions and one seeking ease of transport. Discriminant analysis further supported the results with defining the determinant variables of the cluster membership and confirmed that the point of sales has an important role in identifying the consumption of activities and the extension of the area visited. Thus, to conceptualize the decision process in an intra-destination level, the spatial structure of the destination seems to play a greater influence on behaviour than its product structure. The paper illustrates how analysis of destination card data can assist destinations in better understanding their markets and discusses potential research opportunities that can generate real marketing benefits. A number of recommendations especially for destination managers and tourism operators are also identified to enhance the information gathered. Product bundling, regional cooperation and strategic marketing opportunities at sales points are suggested in this context to further incentivize tourist mobility.

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“…Different studies have been carried out to find out which tourists' characteristics motivate them to prefer to visit some sites instead of others. In these studies, different kinds of techniques have been employed (Zakrisson & Zillinger, 2012;Zoltan & Masiero, 2012). Scuderi and Dalle Nogare (2018) use destination cards to identify the most common sequences of activities recorded using them.…”

Section: Literature Reviewmentioning

confidence: 99%

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

Padrón‐Ávila

Martín

2019

Journal of Tourism Research

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In this paper, more than 35,000 survey responses given by tourists from 2010 and 2016 are used to explain visits to tourism attractions in Lanzarote. In the survey, tourists are asked about a wide set of variables. Among these, there is a question regarding the attractions visited during their trip. With these data, it has been possible to carry out a discrete choice model analysis to establish the variables that explain why certain tourists are more prone to visit attractions than others. This study is relevant to understand tourists' mobility patterns and behavior. It also has implications for marketing managers and tourism product developers.

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The relation between push motivation and activity consumption at the destination within the framework of a destination card

Cited by 34 publications

References 30 publications

Destinations and crisis. Profiling tourists' budget share from 2006 to 2012

Destinations and crisis. Profiling tourists' budget share from 2006 to 2012

Analysing intra-destination movements and activity participation of tourists through destination card consumption

Why do tourists differ in their likelihood to visit attractions? The case of Lanzarote

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