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Tourism destination zoning in rural regions:

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Isabel Paulino Valldepérez

on 4 November 2015

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Transcript of Tourism destination zoning in rural regions:

Tourism destination zoning in rural regions:

Is there an effective strategy for tourism development in a destination from the tourist perspective and considering its tourism resources, without being fragmented by administrative boundaries?
Results for Terres de l'Ebre
Tourism destinations management
Put into doubt the traditional tourism management
Destination are delimited by administrative boundaries, with no regard to other alternative configurations that could have higher potential
Lack of studies of the non-international boundaries
Tourism patterns in rural regions
Travel consumption patterns affected by the spatial distribution of attractions: distance, intensity and specificity
Hub-and-spoke most common tourists movement within a destination, particularly in rural regions.
Local destination is the area containing products that could be consumed in a day-trip from the heart of the destination
Case study
Provide a way of developing and manage a tourism destination:
- based on the spatial distribution of the attractions
- and from the accommodation hubs

tourists’ consumption pattern

- without taking into account the administrative boundaries

Tourism guidebooks analysis
Which are the tourism attractions of a TE?
What is the value of a tourism resource?
Selection of 9 guides from different scales
Identification of the attractions
Attractiveness level of each attraction
Classification of each attraction in regard of its nature.

Accommodation database
Data collection from official databases
-Apartments beds search
-Housing for tourists use estimation
100 beds by municipality to be an accommodation hub
3 levels of accommodation hubs:100-300 beds, 300-800 beds and more than 800
Distances database
To calculate the distance between the attractions themselves
Prioritization of the time distance
Distance between the towns containing attractions
Clustering process
SPSS use insead of GIS-based software
Use of the time distance matrix
Application of the Ward method
Choose of the 5 clusters solution
Analysis of the resulting zones and its attractions
Zone 1: nature-based (Ebre delta) and important playing role of sun&beach and culture-based attractions.
Zone 2: culture-based (Tortosa) complementary nature-based attractions.
Zone 3: natural-based together with active tourism attractions (Horta de Sant Joan-Arnes), and culture-based attractions (Gandesa).
Zone 4: nature and culture-based attractions
Zone 5: most critical case, no international, national and regional attractions.
Identification of the accommodations hubs
Zone 1: important number of beds following the typical elongated accommodation of coastal destinations and the Ebre delta
Zone 2: hotel beds in Tortosa
Zone 3: optimal distribution of the beds
Zone 4: lack of beds offer, southern attractions possible day-trips from neighboring clusters
Zone 5: important number of camping beds contrasting with the lack of important attractions
Future research
Methodology: limited number of sources and same typology, calculating the distance between the towns not between attractions (354 attractions: 124.962 searches)
Focus of the study: defining new tourism destinations based on the attractions geographical distribution, no taking into account socio-cultural premises, linkages between attractions themselves and their images: functional destination without identity

A consumer-based approach in Terres de l’Ebre

Isabel Paulino Valldepérez
Master in Tourism Management
Terres de l'Ebre
Local destination with different non-international boundaries
Rural region in tourism developing process, that can take advantage of this study

Territorial extension of the analysis to the neighbouring destinations, to check if the border towns included in this analysis are really better fitted in the identified zones, or another tourism zoning is possible.
Cheek resulting zones compared with the tourists’ real patterns (use of Global Positioning System)
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