Model for measuring carrying capacity in inhabited tourism destinations

Fernández-Villarán, Asunción; Espinosa, Nagore; Abad, M R Tavakkoli Baghdad; Goytia, Ana

doi:10.1007/s10258-020-00173-5

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…The context indicators of the destinations analysed, which will, in turn, determine the phase of the life cycle of each destination, are based on those developed by Diedrich & García-Buades (2009); Fernández-Villarán, Espinosa, Abad, & Goytia (2020); Martín, Aguilera, & Moreno (2014) and Soares, Gandara, & Baidal (2012) (Figure 1). Data were obtained from the Barcelona City Council, Diputación de Alicante, Barcelona City Council, Ronda City Council, Eustat, INE, Instituto Galego de Estadística, Junta de Andalucía and Observatorio de Turismo de Bizkaia and from the tourist offices of Albarracín and Castell de Guadalest.…”

Section: Methodsmentioning

confidence: 99%

Examining the impact of the platform economy on Spain’s cultural destinations through the lens of free tours

García

Fernández-Villarán

2023

IJTC

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Purpose Free guided walking tours are one of the most successful tourism segments in the digital platform economy. It is beginning to be associated with negative impacts in some of the destinations where it is spreading rapidly. Although the platform economy is generating increasing academic interest, the free tour model remains largely unexplored area in the literature. This study aims to examine how such activity affects cultural destinations. Design/methodology/approach Focussing on the largest Free Tours platform operating in Spain, GuruWalk, the methodology used analyses its impact in six cultural destinations on two of the sustainability dimensions: the territorial dimension and the governance, through an exploratory study. Findings The findings help to understand the differences that such activity generates in each destination depending on the phase of its life cycle, and to implement, if necessary, corrective measures. The research confirms that the impacts differ according to the tourist destination’s maturity, concluding that such activity contributes to the increase of tourist agglomerations and the overcrowding of cultural destinations in their middle and mature life cycles. The findings highlighted the importance of the role of local governance on free tour activity. Originality/value The main contribution is the association of the impacts they produce (especially in terms of massification) with destination life cycle phases. There were no similar precedents with a spatial or territorial analysis to reliably demonstrate not only that this activity has an impact on the territory but also what type of impact is produced.

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Section: Methodsmentioning

confidence: 99%

Examining the impact of the platform economy on Spain’s cultural destinations through the lens of free tours

García

Fernández-Villarán

2023

IJTC

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“…Yuan et al [46] in 2022 developed the system dynamic approach for evaluating the interconnection performance of cross-border transport. One of the applications of fuzzy sets and fuzzy logic in this estimation is the fuzzy linear programming model proposed by Fernández-Villarán et al [47]. They developed a model to measure the TCC of an inhabited tourist destination (such as a country, region, or municipality), thanks to alerts that can help destination managers take action.…”

Section: Related Workmentioning

confidence: 99%

A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using <i>q</i>−Rung Orthopair Fuzzy Hypersoft Environment

Khan,

Gulistan,

Kausar

et al. 2024

CMES

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Tourism is a popular activity that allows individuals to escape their daily routines and explore new destinations for various reasons, including leisure, pleasure, or business. A recent study has proposed a unique mathematical concept called a q−Rung orthopair fuzzy hypersoft set (q−ROFHS) to enhance the formal representation of human thought processes and evaluate tourism carrying capacity. This approach can capture the imprecision and ambiguity often present in human perception. With the advanced mathematical tools in this field, the study has also incorporated the Einstein aggregation operator and score function into the q−ROFHS values to support multiattribute decision-making algorithms. By implementing this technique, effective plans can be developed for social and economic development while avoiding detrimental effects such as overcrowding or environmental damage caused by tourism. A case study of selected tourism carrying capacity will demonstrate the proposed methodology.

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“…Urban planners generally describe carrying capacity as the maximum number of people that can be supported indefinitely in a given location without causing environmental degradation (Doganca Kucuk & Saysel, 2018; Fernández‐Villarán et al, 2020; Irankhahi et al, 2017; Lane, 2010; Wang & Liu, 2019a; Xie et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis of resources and environmental carrying capacity in Iran

Karami

Sayahnia

Mahmoudi

et al. 2023

Natural Resources Forum

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Urbanization and mass movement of the population from rural areas and small cities to megacities have led to environmental, economic, and social problems in Iran. In dealing with these challenges, assessing resource and environmental carrying capacity (RECC) is considered an effective method to leverage space and capital to achieve sustainable development. This study aimed to rank the provincial RECC in Iran. Toward this purpose, environmental indices were generated from remotely sensed and statistical census data. Then, the provinces were scored in terms of environmental, economic, and infrastructural carrying capacities, and RECC using the mean variance analysis method. Results demonstrated that in most areas, there is no relationship between economic and infrastructural capacities and development. Statistically, a correlation coefficient of −0.53 between economic and environmental carrying capacities indicated excessive use of environmental capacities. Moreover, the spatial distribution pattern of environmental, economic, and infrastructural carrying capacity was entirely heterogeneous between the provinces; there was a northeast–southwest pattern in terms of infrastructural capacity and an economic pattern from north to south. The distribution pattern of RECC is most consistent with the environmental capacity, pointing at the high weight of the indicators of the RECC model. In conclusion, this research offers a new vision for policymakers and provides a theoretical and applicable framework for implementing sustainable strategies in land‐use planning. It is recommended that the RECC concept and tools can be used not only for planning but also for measuring the efficiency of spatial development programs and establishing land balances in the region.

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Model for measuring carrying capacity in inhabited tourism destinations

Cited by 8 publications

References 27 publications

Examining the impact of the platform economy on Spain’s cultural destinations through the lens of free tours

Examining the impact of the platform economy on Spain’s cultural destinations through the lens of free tours

A Novel Method for Determining Tourism Carrying Capacity in a Decision-Making Context Using <i>q</i>−Rung Orthopair Fuzzy Hypersoft Environment

Spatial analysis of resources and environmental carrying capacity in Iran

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