Abstract:Overtourism refers not only to situations in which carrying capacity levels have been exceeded, but also to those in which tourists and residents share negative feelings of discomfort and other emotions, loss of quality of life and unpleasant experiences in their activities of daily life. The growing number of places struggling with the problem of overtourism suggests that brand new approaches are required to minimize the effects of excessive tourism. However, the impacts of overtourism are place-specific and … Show more
“…The results show that in the process of rural tourism development, political decision-making and community relations lead to social exclusion [15]. Majdak, P. et al argued that in conducting rural tourism, the overcapacity of accommodating tourists may exceed the level of carrying capacity of the villages [16]. He, H. et al analyzed the impact of rural tourism on farmers' income by taking the key villages of tourism poverty alleviation in the Qinba mountainous area of Hanzhong in southern Shanxi Province as the research object [17].…”
This paper first determines the research method of rural tourism and the selection of research objects and carries out the corresponding pre-processing operation for the data. Secondly, the spatial distribution characteristics of key villages of rural tourism are analyzed by using the nearest neighbor index, standard deviation ellipse, geographic concentration index and geographic detector so as to understand the development of rural tourism in the five regions of east, west, south, north and central. The spatial clustering structure of key villages in rural tourism is calculated again using the fractal model to explore grid aggregation and correlation of high-quality development in rural tourism. From the spatial distribution characteristics, the nearest neighbor index of the southern region is 0.838, showing an aggregation-random distribution pattern, and the standard deviation ellipse of the southern region is 51.67°. From the spatial clustering structure, the aggregation dimension of the southern region is 0.485, and the correlation dimension of the four regions of east, west, south, north and south is relatively close to that of highway accessibility, for example. Thus, rural tourism in the context of the Internet needs to further strengthen infrastructure construction, enhance the means of training high-quality personnel, build diversified marketing channels, and realize the rural revitalization strategy to boost rural tourism.
“…The results show that in the process of rural tourism development, political decision-making and community relations lead to social exclusion [15]. Majdak, P. et al argued that in conducting rural tourism, the overcapacity of accommodating tourists may exceed the level of carrying capacity of the villages [16]. He, H. et al analyzed the impact of rural tourism on farmers' income by taking the key villages of tourism poverty alleviation in the Qinba mountainous area of Hanzhong in southern Shanxi Province as the research object [17].…”
This paper first determines the research method of rural tourism and the selection of research objects and carries out the corresponding pre-processing operation for the data. Secondly, the spatial distribution characteristics of key villages of rural tourism are analyzed by using the nearest neighbor index, standard deviation ellipse, geographic concentration index and geographic detector so as to understand the development of rural tourism in the five regions of east, west, south, north and central. The spatial clustering structure of key villages in rural tourism is calculated again using the fractal model to explore grid aggregation and correlation of high-quality development in rural tourism. From the spatial distribution characteristics, the nearest neighbor index of the southern region is 0.838, showing an aggregation-random distribution pattern, and the standard deviation ellipse of the southern region is 51.67°. From the spatial clustering structure, the aggregation dimension of the southern region is 0.485, and the correlation dimension of the four regions of east, west, south, north and south is relatively close to that of highway accessibility, for example. Thus, rural tourism in the context of the Internet needs to further strengthen infrastructure construction, enhance the means of training high-quality personnel, build diversified marketing channels, and realize the rural revitalization strategy to boost rural tourism.
“…The island's deliberate investments in infrastructure, improved accessibility of rural areas, and a conscious shift in tourist distribution have resulted in above-average growth rates for the rural hinterland. The dispersion strategy mitigates the impact on urban infrastructure and has proven particularly effective under external pressures, where demand for quality rural spaces has increased [33]. Madeira's approach, incorporating policy measures and focusing on unique experiences like ecotourism, showcases a proactive stance in shaping sustainable and diverse tourism, offering valuable lessons for regions navigating similar development trajectories.…”
Section: Sustainable Tourism: Environmental Focus and Community Parti...mentioning
Dubrovnik-Neretva County, renowned for the City of Dubrovnik, grapples with tourism challenges affecting its UNESCO-listed Old City. This study advocates for promoting less-explored inland areas to ease the strain on the heritage site and alleviate coastal tourist pressure. By diversifying tourism and supporting sustainable rural development, the region can spur economic growth, foster local businesses, and improve infrastructure through EU and national funding. The research explores financial investments in less-developed areas, emphasizing sustainable tourism practices for socio-economic and environmental benefits. The analysis highlights the project’s positive impact on sustainable tourism development inland, preserving natural heritage, and fostering economic benefits for local communities. According to the cost–benefit analysis, the proposed idea outperforms all alternatives with new attractions and enhanced infrastructure, contributing to overall municipal growth. External funding is crucial for viability, with a negative net income until 2040, offset by municipal support. Economic indicators justify social and economic benefits, emphasizing project resilience. The active tourism centre project, emphasizing eco-friendly outdoor activities, highlights the role of cost–benefit analysis in rural tourism infrastructure investment, recommending external funding for success.
“…Numerous articles address the challenge of saving and conserving energy in tourism, which is closely related to the analysis of carbon emissions and low-carbon technology schemes (Lu et al 2018;Ma et al 2022;Salehi et al 2021). Energy saving analyses are applied both at the general level and in specific areas such as rural areas (Dzhusibalieva et al 2016;Majdak and de Almeida 2022;Llinàs et al 2021;Li et al 2005). In general, green energy plays a leading role in transitioning to a green economy (Potts et al 2019), particularly in tourist destinations in emerging economies (Tazikhina et al 2022;Huang et al 2021).…”
Following the publication of the 2011 United Nations Environment Programme (UNEP) Green Economy Report, the UNWTO published the Tourism in the Green Economy report as clear evidence of the tourism sector’s growing influence on green economy. This paper provides the first narrative review on green tourism economy based on all available published research. The paper synthesizes existing knowledge, reviews responses and initiatives on green tourism, and suggests future research and methodological approaches to help advance this field. The Scopus and WoS databases were used for the bibliometric study. The results are structured into three sections—challenges, opportunities, and enabling conditions—which comprehensively cover the main themes.
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