Determination of tourist flow patterns in a low mountain study area
Understanding the movement of visitors contributes to appropriate management plans for visitor destinations. Determination of this movement is composed of not only the identification of the starting and end points together with the sequence of stops but the characterisation of the route pattern...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
University of Algarve, ESGHT/CINTURS
2018-07-01
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| Series: | Tourism & Management Studies |
| Subjects: | |
| Online Access: | https://tmstudies.net/index.php/ectms/article/view/1029/pdf_103 |
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| Summary: | Understanding the movement of visitors contributes to appropriate
management plans for visitor destinations. Determination of this
movement is composed of not only the identification of the starting and
end points together with the sequence of stops but the characterisation
of the route pattern as well. The type of this pattern depends on the
human apart from outer physical parameters and the available time
thus it has a relationship with the behaviour and type of the tourist.
Understanding and making use of these are important measures for
organisations managing natural areas. Observation of visitors in natural
areas is not possible in every environment while reducing the tread of
certain popular sites can be made only with the help of such knowledge.
This explains that literature describing different patterns analyse interdestination relationships. In this paper the identification of the
movement pattern of hikers in a mountainous study area is presented.
Visitor flow analysis of a study area in Hungary (180 km2
area of Central
Börzsöny in Duna-Ipoly National Park) was performed on the basis of a
questionnaire survey carried out with the help of volunteers. Based on
the analysis of the obtained data the accurate description of the
movement of both individual hikers and groups became possible.
Mathematics based definition of hiking routes completed in
mountainous areas is new to the available data in the literature.
Patterns of one day routes were classified into 6 types and two types of
hiking routes requiring several days were also identified. Different route
types were observed at the different entrances of the destination. Such
information helps the identification of visitor types at the starting
points and the design of appropriate visitor management measures. |
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| ISSN: | 2182-8466 |