The use of choice experiments in the analysis of tourist preferences for ecotourism development in Costa Rica

Hearne, Robert R.; Salinas, Zenia

doi:10.1006/jema.2001.0541

Cited by 179 publications

(128 citation statements)

References 15 publications

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“…Knowing what kind of visitors comes to the study area, and the type of forest trails and tourist facilities the visitors prefer is of paramount importance for adjusting forest management techniques. Hearne and Salinas (2002) argued that protected area managers must be able to develop infrastructure, access, and to use restrictions which facilitate the dual goals of conservation and tourism development. All recommendations to forest managers should concern not only how to enhance the recreational potential for specific areas but also they should help them to find the right balance between the level of recreational use and nature conservation.…”

Section: Discussionmentioning

confidence: 99%

Forest visitors' opinion of recreational facilities and trails in forests in the Blaník Protected Landscape Area - a case study

Drábková¹,

Šišák²

2013

J. For. Sci.

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Currently, recreation is the most common use of protected areas and there are scarce data on the users and their opinion. The research was focused on visitors to the Blaník Protected Landscape Area (hereafter referred to as PLA), a well-known recreational area where data on visitors, important for PLA management, are missing. Therefore, the aim of the paper is find out: what kind of visitors comes to the study area; the type of forest trails and tourist facilities the visitors prefer. A questionnaire survey of forest visitors was used. Results show that the visitors mostly prefer maintained trails. According to forest visitors' opinion, the most convenient facility to place near the forest tourist trail is the nature trail panels. Furthermore, based on the acquired data, it was possible to create a visitor's profile which is important for respective research and other case studies in similar areas, and for managers of protected landscape areas to comply with both the visitors' needs and the needs of the protected area.

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Section: Discussionmentioning

confidence: 99%

Forest visitors' opinion of recreational facilities and trails in forests in the Blaník Protected Landscape Area - a case study

Drábková¹,

Šišák²

2013

J. For. Sci.

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“…For example, Xu argues that the quality of both core tourism resources and supporting factors together influence tourist preference, because these resources are tourist attractions [7]. As another example, Hearne and Salinas agree that, as well as tourism resources, destination management has an impact on tourist preference [8].…”

Section: The Connotation Of Tourist Preference Toward Tourism Destinamentioning

confidence: 99%

“…The basic data used to seek the scores of every model attribute are usually collected by filed surveys and interviews with partial tourists and relevant stakeholders. For instance, Hearne and Salinas evaluated tourist preference toward two tourist destinations located in Costa Rica based on the data collected by a survey of 171 domestic tourists and 271 foreign tourists [8]. Wang et al measured tourist preference toward different smart tourist attractions through applying the AHP and IPA approach [9].…”

Section: Evaluating Tourist Preference Toward Tourism Destinationsmentioning

confidence: 99%

A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China

Sun

Chan

2017

Sustainability

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Research on tourist preference toward different tourism destinations has been a hot topic for decades in the field of tourism development. Tourist preference is mostly measured with small group opinion-based methods through introducing indicator systems in previous studies. In the digital age, e-tourism makes it possible to collect huge volumes of social data produced by tourists from the internet, to establish a new way of measuring tourist preference toward a close group of tourism destinations. This paper introduces a new model using social media data to quantitatively measure the market trend of a group of scenic spots from the angle of tourists' demand, using three attributes: tourist sentiment orientation, present tourist market shares, and potential tourist awareness. Through data mining, cleaning, and analyzing with the framework of Machine Learning, the relative tourist preference toward 34 scenic spots closely located in the Dapeng Peninsula is calculated. The results not only provide a reliable "A-rating" system to gauge the popularity of different scenic spots, but also contribute an innovative measuring model to support scenic spots planning and policy making in the regional context.

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“…A paper by Kerr and Sharp (2004) used choice modelling to estimate the types and scale of mitigation that were acceptable to local communities in New Zealand to compensate for adverse environmental effects in streams from development projects. Choice modelling was also used to assess the value of amenities and quality improvement of recreation locations by Schroeder and Louviere ( 1999) and Hearne and Salinas (2002) in Costa Rica. The latter study demonstrated that in general tourists preferred improving infrastructure, information, and low entrance fees.…”

Section: Choice Surveymentioning

confidence: 99%

Tasmanian landowner preferences for conservation incentive programs: A latent class approach

Putten

Jennings

Louviere

et al. 2011

Journal of Environmental Management

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The use of choice experiments in the analysis of tourist preferences for ecotourism development in Costa Rica

Cited by 179 publications

References 15 publications

Forest visitors' opinion of recreational facilities and trails in forests in the Blaník Protected Landscape Area - a case study

Forest visitors' opinion of recreational facilities and trails in forests in the Blaník Protected Landscape Area - a case study

A Model to Measure Tourist Preference toward Scenic Spots Based on Social Media Data: A Case of Dapeng in China

Tasmanian landowner preferences for conservation incentive programs: A latent class approach

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