Tourism development or nature protection? Lessons from a cluster analysis based on users of a French nature-based destination

Trelohan, Magali; François-Lecompte, Agnès; Gentric, Michel

doi:10.1016/j.jort.2022.100496

Cited by 16 publications

(5 citation statements)

References 46 publications

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“…It has been revealed from the results that the PDV of tourists provokes them to show ERB (Trelohan et al , 2022). The direct effect of the cognitive image of destination on ERB was insignificant, but with the mediation of perceived value, significant relation is found between the two (Liu et al , 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Recently researcher has explained the ERB of tourists by considering tourists’ characteristics only and paid little attention to behavioural and psychological factors. Further researchers have proposed that there is a need to enhance the practical and theoretical implications of ERB on coastal touring destinations(Liu et al (2022); Tang et al , 2022; Trelohan et al , 2022; Qiu et al , 2022a, 2022b, 2022c; Panwanitdumrong and Chen, 2022; Fenitra et al , 2022; Tang and Chooi, 2022; Savari et al , 2022). Previous research studies have suggested to consider place attachment, value creation and responsible destination behaviour to explain the ERB of tourists (Kim and Koo, 2020; Confente and Scarpi, 2021; He et al , 2022; Savari et al , 2022).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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Understanding environmentally responsible behavior of tourists at coastal tourist destinations

Aziz

Niazi

2023

SRJ

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Purpose Tourists’ irresponsible behaviours (e.g. damaging flowers, writing and painting on the walls and throwing waste material in the water and around the sea site) damage the coastal environment. The irresponsible behaviour of tourists has raised concerns about the sustainability of the coastal tourism environment. The purpose of this study is to identify and explain the behavioural patterns of tourists that can influence the environmentally responsible behaviours (ERBs) of tourists, particularly in the context of coastal tourism. The study aims to provide a theoretical and practical explanation of destination image and perceived destination value (PDV) in shaping ERB with the mediating role of destination social responsibility (DSR) among tourists at the coastal touring destination. Design/methodology/approach The study used a quantitative research design and data were gathered from the five beaches in Karachi. Structured equation model was used to analyse the direct and mediating effect while stepwise regression was used to analyse the moderating effect of DSR. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While the affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. Results of the study revealed that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB. Findings The results are divided into three categories, direct effect, mediating effect and moderating effect. The results of the direct effect showed that cognitive image has a significant effect on the affective image, while the insignificant effect on conative image and ERB. While affective image has a significant effect on conative and ERB, and finally, results showed a significant effect of conative image on ERB. It is found in the results that PDV significantly mediated the relationship between cognitive, affective and conative destination image and ERB. Finally, the study’s results revealed that DSR has significantly moderated the relationship between affective, conative destination image, PDV and ERB. Research limitations/implications First, data has been collected from a single geographic area of Pakistan. Therefore, cross-country data are required to compare the ERB of tourists. Second, only local respondents are considered in the study; future studies may include foreign tourists as well. Finally, data has been collected during one month in summer, which may have measured the experience of only summer. The respondent may have different perceived values and destination images during winter. The future study may split data collection into summer and winter to cover diverse perceptions of tourists. Social implications It is almost impossible for coastal destinations to achieve a competitive advantage without attaining sustainable coastal environments. Clean and green beaches and responsible behaviour towards marine mammals can only be achieved through tourists’ ERB. This study has major contributions towards society by reserving the natural environment of coastal areas. Originality/value This research will significantly contribute to the existing literature by extending the ERB knowledge through the theoretical lens of cognitive-affective-conative models and social expectancy theory. Moreover, PDV as a mediator and DSR as a moderator will enhance the understanding of ERB and extend the existing literature. Further research has provided a strong understanding of how cognitive, effective and conative image helps in influencing the ERB of tourists. Moreover, research will benefit destination managers and policymakers to enhance the image and perceived value of touring destinations. Finally, this study is a unique attempt to present a comprehensive model which could be applicable to diverse situations and areas.

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Section: Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

Understanding environmentally responsible behavior of tourists at coastal tourist destinations

Aziz

Niazi

2023

SRJ

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“…Once entropy is computed, the difference is computed to know the gain value. In fact, the gain from x on y is the reduction in entropy values and is computed using Equation (8).…”

Section: Enmentioning

confidence: 99%

“…For example, in [ 7 ], the authors detected gas leaks by monitoring mass spectrometer data and cluster analysis. Because of disputes between tourism development and natural landscape protection, various stakeholders were included in a cluster analysis, and the analysis results were divided into four groups: conservative to radical [ 8 ]. According to financial strategies of different companies [ 9 ], non-financial companies are often analyzed by clusters.…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

Shih

et al. 2022

Healthcare

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Since December 2019, COVID-19 has been raging worldwide. To prevent the spread of COVID-19 infection, many countries have proposed epidemic prevention policies and quickly administered vaccines, However, under facing a shortage of vaccines, the United States did not put forward effective epidemic prevention policies in time to prevent the infection from expanding, resulting in the epidemic in the United States becoming more and more serious. Through “The COVID Tracking Project”, this study collects medical indicators for each state in the United States from 2020 to 2021, and through feature selection, each state is clustered according to the epidemic’s severity. Furthermore, through the confusion matrix of the classifier to verify the accuracy of the cluster analysis, the study results show that the Cascade K-means cluster analysis has the highest accuracy. This study also labeled the three clusters of the cluster analysis results as high, medium, and low infection levels. Policymakers could more objectively decide which states should prioritize vaccine allocation in a vaccine shortage to prevent the epidemic from continuing to expand. It is hoped that if there is a similar epidemic in the future, relevant policymakers can use the analysis procedure of this study to determine the allocation of relevant medical resources for epidemic prevention according to the severity of infection in each state to prevent the spread of infection.

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“…It ultimately depends on consumers' subjective perception. Research on water-based outdoor recreation has shown that the recreational quality of beaches is assessed against a very wide range of criteria, including water quality, beach cleanliness, crowding, activities, facilities or services (Parsons and Massey 2003, Roca, Villares et al 2009, Rulleau, Dehez et al 2012, Loomis and Santiago 2013, Skriver Hansen 2016, Trelohan, François-Lecompte et al 2022, Wood, Vimercati et al 2022. In many cases, the presence of a lifeguard unit is not necessarily a priority.…”

Section: Introductionmentioning

confidence: 99%

How ocean beach recreational quality fits with safety issues? An analysis of risky behaviours in France

Dehez,

Lyser

2024

Journal of Outdoor Recreation and Tourism

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Tourism development or nature protection? Lessons from a cluster analysis based on users of a French nature-based destination

Cited by 16 publications

References 46 publications

Understanding environmentally responsible behavior of tourists at coastal tourist destinations

Understanding environmentally responsible behavior of tourists at coastal tourist destinations

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

How ocean beach recreational quality fits with safety issues? An analysis of risky behaviours in France

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