Analysis of the Spatial Distribution Pattern of Tourist Activity: An Application to the Volume of Travellers in Extremadura

Rodríguez-Rangel, Cristina; Sánchez-Rivero, Marcelino

doi:10.1007/978-3-030-11160-1_14

Cited by 3 publications

(5 citation statements)

References 18 publications

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“…This paper aims to investigate the degree of adjustment between supply and demand in a territory where, due to the particularities of the growth model implemented based on expansive policies, it has given rise to a strong imbalance between supply and demand, the region of Extremadura [1,5,25,28,32] that needs to be studied and analyzed in order to implement the appropriate strategies to achieve growth sustainable tourism in the region.…”

Section: Introductionmentioning

confidence: 99%

Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

Rangel

Rivero

2020

Sustainability

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The techniques provided by spatial analysis have become a great ally of tourist planning as they allow the carrying out of exhaustive territorial analyses. The greater availability of georeferenced databases together with the more and more extensive use of GIS (Geographic Information Systems) is materialising in the proliferation of studies analysing the distribution patterns of tourist territories. The present study uses these techniques to study the degree of equilibrium in the distribution of places and its level of occupation in a region where the use of expansionary policies of growth of the tourism sector has been able to cause a strong imbalance in said activity, i.e., the case of the region of Extremadura. To verify this, both global contrasts, global Moran’s I and G (d) of Getis and Ord, are used, as well as local contrasts, to map LISA (Local Indicators of Spatial Association). The results obtained confirm the existence of strong imbalances in the effectiveness of the places created while allowing the identification of different clusters of high and low values. These findings represent an important output for the strategic planning of the territory in order to develop a strategy that allows the sustainable tourism development of the territory.

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Section: Introductionmentioning

confidence: 99%

Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

Rangel

Rivero

2020

Sustainability

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“…With reference to this region, different analyses have been carried out that have confirmed that tourist activity tends towards concentration in space, which favors the creation of certain clusters or hotspots, or indeed cold spots, which must be analyzed and understood for the correct management of the activity [13,14,[60][61][62][63][64].…”

Section: The Importance Of Space In Accommodation Distributionmentioning

confidence: 99%

“…From a demand perspective, different studies have also been carried out to confirm that its distribution also tends towards concentration in space. Rodríguez and Sánchez [13] analyze the pattern presented by the travelers visiting the region; they found a trend towards their concentration in the three main cities of the region. The efficiency of tourist sites is subsequently analyzed from a spatial perspective, using the level of occupancy as a proxy indicator of the satisfactory adjustment between supply and demand.…”

Section: Case Study: Extremaduramentioning

confidence: 99%

“…For this reason, a series of studies are emerging from the academic field that seek to elucidate knowledge about the distribution patterns that tourist variables follow in space. In this way, work that aims to analyze the patterns of tourist activity in the territory has proliferated in recent years [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Spatial Intensity in Tourism Accommodation: Modelling Differences in Trends for Several Types through Poisson Models

Rangel

Sánchez-Rivero

Hernández

2020

IJGI

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The distribution pattern of tourist activity in space represents valuable information to improve the management of a tourist destination. This is why there is a trend in the current literature in proposing modelling that allows for the incorporation of how tourist activity is distributed in an operational way in order to characterize and measure the patterns identified for tourism management. The present study focuses on carrying out this modelling in an inland territory in an expansion phase which, according to the knowledge available from previous work, presents a strong territorial imbalance in the distribution of its housing pool, the region of Extremadura in Spain. For this reason, tourism intensity is modelled through a Poisson process to determine which model best fits the pattern of accommodation in the region. The results represent a valuable tool for public–private management of the tourism sector in the area under study.

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“…Agglomeration economics means the benefits obtained by companies as a result of being located near others, and there may be two types, location and urbanization economies (Beaudry and Martín et al 2013;Rodríguez-Rangel and Sánchez-Rivero 2019;Sánchez-Martín et al 2019). In order to overcome the second of the limitations, some authors have proposed the performance of different tests based on the characteristics of the territory under study so as to make a selection of the most appropriate distance criterion for it (Martín et al 2018;Sánchez Martín et al 2013;Sánchez-Rivero 2019, 2020).…”

Section: Introductionmentioning

confidence: 99%

A Spatial Analysis of Intensity in Tourism Accommodation: An Application for Extremadura (Spain)

2020

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There is a general belief that the distribution of tourist activity in space does not respond to a random pattern, so having a thorough knowledge of said activity will require analyzing and understanding its distribution pattern. At the same time, the adequate planning of this sector requires exhaustive knowledge, on the one hand to be able to enhance the positive effects of concentrations in the space, and on the other hand to avoid those possible adverse effects. Therefore, various studies focus on providing information on the random pattern of these activities, especially in developing destinations with a great interest in generating a model of sustainable tourism development. This paper aims to contrast the results achieved by previous studies at the destination while describing the pattern identified through the use of alternative statistical techniques rather than those commonly used. In particular, an intensity function is estimated using three different methods: quadrant counting, K-function, and kernel smoothing. The results achieved allow the identification of the areas with the greatest tourist intensity while describing the practical implications of the results achieved.

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Analysis of the Spatial Distribution Pattern of Tourist Activity: An Application to the Volume of Travellers in Extremadura

Cited by 3 publications

References 18 publications

Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

Spatial Intensity in Tourism Accommodation: Modelling Differences in Trends for Several Types through Poisson Models

A Spatial Analysis of Intensity in Tourism Accommodation: An Application for Extremadura (Spain)

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