Tourists Intra-Destination Visits and Transport Mode: A Bivariate Probit Model

Masiero, Lorenzo; Zoltan, Judit

doi:10.1016/j.annals.2013.05.014

Cited by 116 publications

(78 citation statements)

References 26 publications

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“…This could have been attributable to their greater knowledge of the network and the range of transport options available for moving around than those visiting the destination for the first time. Masiero and Zoltan [53] found the same patterns in their study on tourists' use of public transport in the Canton of Ticino (Switzerland) in summer. On the other hand, the tourists who said that they had no interest in going to other neighbouring places would have less need to use PT.…”

Section: The Probability Of Using Public Transport At the Destinationsupporting

confidence: 50%

The Determinants of Tourist Use of Public Transport at the Destination

Gutiérrez

Miravet

2016

Sustainability

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Abstract:Of all the activities associated with tourism, transport is the one that creates most pollution. However, the mobility of tourists at their destination is an activity that has so far received very little attention from researchers in comparison with that afforded to the transport mode used to travel from their point of origin to their destination. This paper provides new evidence about the use of public transport by tourists at their final destination. The study is based on data obtained from a survey conducted with tourists (N = 4336) on the Costa Daurada (Catalonia), a Mediterranean sun and beach resort. The empirical analysis is based on estimations made using a multinomial model of the transport mode chosen by tourists to travel to the Costa Daurada combined with another model that estimated the probability of them using public transport during their stay. The results show that the tourists who arrived by private car were the ones who least used public transport at the destination. This was despite the fact that these tourists had the profile that made them most likely to use this type of transportation. On the other hand, although the tourists who arrived by plane had the profile that made them least likely to use public transport, they were the ones who used it most. It is, therefore, possible to conclude that, in addition to tourist profile, another key factor in deciding whether tourists will use public transport at their destination is whether they will take their own car.

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Section: The Probability Of Using Public Transport At the Destinationsupporting

confidence: 50%

The Determinants of Tourist Use of Public Transport at the Destination

Gutiérrez

Miravet

2016

Sustainability

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“…Some studies have touched on how the socio-demographic profile of tourists influences the transportation mode choices they make (Can, 2013;Kelly et al, 2007;Masiero & Zoltan, 2013;Nerhagen, 2003;Tasur & Wu, 2005). The general impression from this research is that socio-demographic features -often in the guise of control variables accounting for differences in preferences -generally do not appear to be important determinants of tourists' transportation mode choices.…”

Section: Socio-demographic Variablesmentioning

confidence: 95%

Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model

Thrane¹

2015

Tourism Management Perspectives

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“…They were also significantly more likely to visit lower order attractions. Masiero and Zoltan (2013) found that people who travel for cultural novelty seeking reasons are more likely to move widely through a destination, while those who travel to experience landscape/nature or to be physically active show more restricted, but more intense movement patterns. Importantly, it may be possible to infer motives by analysing behaviour in a holistic manner.…”

Section: Tourism Geographies 21mentioning

confidence: 97%

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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Tourists Intra-Destination Visits and Transport Mode: A Bivariate Probit Model

Cited by 116 publications

References 26 publications

The Determinants of Tourist Use of Public Transport at the Destination

The Determinants of Tourist Use of Public Transport at the Destination

Examining tourists' long-distance transportation mode choices using a Multinomial Logit regression model

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

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