Search Results (13)

The rise in seasonal lifestyle tourism, characterized by winter-escape health and wellness stays and long-term leisure residence, has intensified peak–off-peak imbalances and pressures on the allocation of tourism service supply in tropical island destinations. However, existing research lacks a systematic comparison of seasonal fluctuations and long-term evolution for this subgroup at the city/county level. Therefore, this study aims to characterize the seasonal pattern, long-term trend features, and typological differentiation of seasonal lifestyle tourism at the county level, and to compare differences across types. Using monthly data on seasonal lifestyle tourism for 18 cities/counties in Hainan from 2021 to 2024, we apply TRAMO/SEATS decomposition to identify seasonal structures and measure seasonal amplitude and employ the Hodrick–Prescott (HP) filter to extract trend components and determine their directions of change. We further construct five development types by integrating trend categories and changes in seasonal amplitude and test between-type differences using one-way analysis of variance (ANOVA). Results show that Hainan exhibits a stable “winter–spring peak and summer–autumn trough” pattern (peaks concentrated in January–March and December, with the off-season typically spanning May–October), with strong seasonality and pronounced spatial heterogeneity. The four-year mean seasonal range at the county level is 215.01, with high values clustered in southern Hainan; Haikou remains relatively low, while Wenchang shows an upward trend. Long-term trends are clearly differentiated: 13 counties show sustained growth, 2 show decline, and 3 display a U-shaped recovery (decline followed by rebound). Growth rates also vary substantially, with Qionghai increasing at roughly 27 times the rate of Qiongzhong. Integrating seasonal and trend characteristics yields five types, of which the Robust Development type accounts for the largest share (50%). Between-type differences are mainly reflected in tourism service supply capacity: the number of star-rated hotels (p = 0.033, η² = 0.530) and overnight visitors (p = 0.004, η² = 0.676) differ significantly across types, whereas differences in natural-environment conditions are not significant. This study provides a scientific basis for zoning management and optimizing low-season strategies in Hainan. Full article

This study focuses on the diversity of phytoplankton in the Koh Yaa region of Thailand and their relationship with environmental variables, aiming to assess whether human activities (primarily tourism) pose potential threats to the marine ecosystem and provide scientific support for eco-sustainable tourism management decisions in the region. In April, August, and December 2024, corresponding to peak season, off-season, and shoulder season, a total of 156 discrete samples were collected from four coastal sites to analyze water quality parameters such as temperature, pH, total nitrogen (TN), and total phosphorus (TP), along with plankton diversity and abundance. Statistical analyses including two-way ANOVA with Duncan’s Multiple Range Test (DMRT), Pearson correlation analysis, and principal component analysis (PCA) were applied. The results showed a declining trend in plankton abundance over time, peaking at 1009 × 10⁶ cells/m³ in April and dropping to 281 × 10⁶ cells/m³ by December. A total of 15 types of phytoplankton were identified across four phyla: Bacillariophyta, Cyanobacteria, Dinoflagellata, and Chlorophyta. Notably, Chaetoceros from Bacillariophyta accounted for 47% of phytoplankton, while Oscillatoria from Cyanobacteria made up 29.6%. The diversity index and evenness index improved from 1.34 and 0.46 in April to 1.88 and 0.64 in December, respectively. Environmental factors like pH, temperature, and TP significantly affected phytoplankton abundance (p < 0.01), with TP levels ranging from 0.27 to 0.69 mg/L. These results indicate possible pollution in this region, and changes in phytoplankton abundance were linked to seasonal climate variations—especially during peak tourist seasons—which may exacerbate eutrophication affecting community structures. Full article

Air quality assessment and waste management are key priorities within the Sustainable Development Goals. This study proposes an integrated approach to optimizing waste management and assessing air quality on Chalki Island, located in the Southeastern Aegean region. For analysis, measurements of a mobile air quality system located in the port area were employed to investigate the variability in pollutant concentrations and discomfort conditions. In addition, the ERA5 reanalysis dataset was used to study the impact of climate parameters on air quality. This case study covers the period from February to June 2025. In the context of waste management, a multi-criteria-driven analytical framework was developed to determine the optimal number and configuration of source separation bin arrays tailored to different waste streams at the municipal level. The findings show that anthropogenic activities (i.e., traffic and tourist density) and meteorological parameters significantly affect air pollution. The simultaneous degradation in air quality and discomfort conditions during the high tourist (warm) season increases health risk. In parallel, the deployment of five- and eight-bin source separation arrays was identified as optimal for the off-season and peak tourism season, respectively. This research contributes to a deeper understanding of air pollution variability while additionally guiding sustainable waste management for vulnerable island ecosystems. Full article

To enhance winter tourism competitiveness and address seasonal tourist flow pressures, this study adopts Harbin as a case study and introduces a metamodernist theoretical framework. This framework redefines the “population pulse” phenomenon as a structural oscillation involving periodic switching between the two poles of global tourist consumption and local resident daily needs. By integrating multi-source spatiotemporal data, the study employs X-means clustering to identify population aggregation–dispersion patterns and combines the Geographical Detector and GWR model to construct a complete technical pathway ranging from global factor detection to local heterogeneity analysis. The findings reveal that (1) population activity in Harbin exhibits a “monocentric polarization” pattern during the peak season, which shifts to a “polycentric weak agglomeration” mode in the off-season, reflecting the seasonal oscillation of the city’s functional roles; (2) X-means clustering identifies three types of functional zones: transit-oriented areas on the urban periphery, commercial supporting service zones, and core commercial districts; (3) the Geographical Detector quantifies the independent explanatory power and interactive effects of various influencing factors, identifying the interaction between POI density and road network accessibility as having the strongest explanatory power regarding population aggregation; (4) GWR analysis reveals significant spatiotemporal heterogeneity in the effects of various built environment and socioeconomic driving factors. This study provides specific evidence and technical support for urban planning practices in Harbin and other similar cities, deepens the theoretical understanding of the “constitutive conditions” of urban vitality, and explores a post-paradigmatic research path in geographical methodology that can embrace complexity and analyze oscillatory behavior. Full article

Seasonality, a defining characteristic of tourism, is recognized as a significant challenge for regional tourism, affecting local economies and limiting sustainable development. Among the various strategies that the literature suggests to alleviate its negative effects, the organization of events stands out. In particular, sport events have gained recognition as an essential element for all-year round tourism development. However, a deeper understanding of how tourism practitioners (those experiencing the personal and financial difficulties of seasonality) perceive the potential of sport events to smooth its challenges has not yet been explored enough. This study aims to fill this gap by examining tourism practitioners’ views on the role of sport events, particularly running ones, in mitigating tourism seasonality. To achieve this, in-depth qualitative interviews were conducted with tourism practitioners from selected regions of Greece who, as active stakeholders, shared their perspectives in the development of regional tourism through the year round. The data gathered from these interviews was analyzed using thematic analysis. The results indicate that most of the respondents recognize seasonality as a significant challenge and they share a common concern regarding its adverse effects on both regional tourism and on their local businesses. Themes of survival and sustainability emerged consistently, emphasizing the need to implement various initiatives, aside from sport events, to mitigate its effects. This study contributes to the ongoing discussion on seasonality, focusing on its economic and social implications, particularly from the perspective of tourism professionals. It also provides practical recommendations for destination managers on utilizing sport events as a tool for promoting tourism during off-season periods. Lastly, the findings highlight the need for localized and collaborative initiatives to address seasonality issues and support sustainable development. Full article

Balancing tourism seasonality remains a significant challenge in the management of tourist attractions. Despite existing research on the impact of seasonality from the perspectives of tourist intention cognition and spatial theory, gaps still exist in the relevant literature. This study examines 16 5A-level scenic spots in China with peak season, flat season, and off-season themes, utilizing 8385 tourist reviews from Ctrip.com as data. The LDA topic model is employed to analyze tourism destination image (TDI) under seasonality of destination, and the spatial level (SLs) model is combined to analyze the spatial hierarchy of these images. The findings reveal an association between TDI and SLs under seasonality of destination. For instance, peak season TDI themes (e.g., ‘viewing the scenery’) exhibit a support level of 0.789, while off-season themes (e.g., ‘relaxed itinerary’) reach 0.682, reflecting tourists’ prioritization of functional versus psychological dimensions across seasons. The proposed TDI-SLs correlation theory bridges supply-side spatial resource allocation with tourists’ perceptual dynamics, offering a novel framework to rebalance seasonal demand–supply gaps through strategic spatial planning and image recalibration. Practically, this framework guides destination managers to design season-specific strategies, such as optimizing crowd management in peak seasons or promoting immersive experiences in off-seasons. Full article

The sustainable management of water resources is crucial for maintaining high-quality tourism, as it ensures the availability and reuse of water through effective wastewater treatment processes. This requires the implementation of technologies and circular measures for managing water resources. In this context, the present study focuses on the Ravda Wastewater Treatment Plant (WWTP), which treats the wastewater of the largest coastal resort in Bulgaria, Sunny Beach. Data from seven consecutive years (2018–2024), including the years of COVID-19 measures, have been analyzed. Particular attention has been paid to analysis during the last two years of this study. For the period 2018–2022, hydrochemical parameters (total nitrogen and total phosphorus, volumetric load of activated sludge/volumetric organic load) and technological parameters (treatment efficiency, COD/BOD₅) were examined. In 2023 and 2024, additional parameters such as the SVI, comparative microscopic analysis of activated sludge, dynamics and quantities of aerobic and anaerobic heterotrophic bacteria and denitrifying bacteria, the abundance of genera Pseudomonas and Acinetobacter, and the elemental composition of the water at the inlet and outlet of the treatment plant, were studied. Samples were taken from five critical control points in the course of the treatment process during the off-season, in April and November, when the plant operates with a reduced number of facilities. The aim of this study is to determine the efficiency of water treatment during the off-season and the possibility of its enlargement and improvement to meet the needs during the high season. Overall, the results of the comprehensive analyses show that the biotechnological system has significant biodegradation potential but requires improvement due to large fluctuations in the number of residents. The socio-economic and environmental situation in the area is extremely dynamic, necessitating the introduction of innovative wastewater treatment measures to balance the negative impact on the environment and ensure the sustainability of high-quality tourism. Full article

The sustainability of tourism activities faces many challenges. Furthermore, in the context of the Sustainable Development Goals (SDGs) and their overall slow progress, tourism-related goals and targets are underachieved. To address these challenges, this study has recognized sporting events as an opportunity to enhance the socio-economic activities in tourism destinations during off-season periods. More specifically, the aim of this study is to explore the dynamics of off-season destination resilience through small-scale running events, focusing on three key aspects: the strategies employed by organizers, the synergy created within the community, and the sustainable outcomes. Drawing on insights from qualitative interviews with twenty-five running event organizers across Greece, supported by the Delphi method to confirm and validate the results, their perceptions of the economic and socio-cultural dimensions are explored. This study identifies a number of strategies that enrich running events and can contribute to the sustainability of off-peak destinations. Additionally, the concept of synergy is identified and explored, emphasizing the importance of local engagement, participant encouragement, and community collaborations. These findings provide a comprehensive understanding of how these factors can influence the sustainability of off-peak destinations. To further validate and extend these findings, the second part of this study performs a quantitative analysis using PLS-SEM, involving eighty local authorities in Greece. The results highlight the mediating role of small-scale event enrichment strategies on the relationship between synergy and destination sustainability. This multifaceted approach indicates the dynamics of sustainable tourism, by examining the case of small-scale running events in the off-peak season. The impact of this balanced approach on the broader achievement of relevant SDGs is also supported. The implications of this research, in terms of its strategic and stakeholder orientation for tourism professionals and government agencies, are also discussed. Full article

The inherent vulnerability of tourism poses a substantial challenge to maintaining the productivity and stability of livelihoods among rural tourism households. Although tourism seasonality significantly influences the livelihood activities of rural tourism households, research exploring how they adapt their livelihood strategies to achieve optimal outcomes is limited. Employing an exploratory sequential mixed-methods design that combines thematic analysis and fuzzy-set Qualitative Comparative Analysis (fsQCA), we investigated the relationship between the livelihood strategies and outcomes of rural tourism households under the influence of tourism seasonality in the Lijiang scenic spot of China. The results indicate that livelihood strategies adopted by rural tourism households include “Tourism Persistence”, “Seasonal Employment”, and “Seasonal Farming” during the off-season and “Extending Working Hours”, “Increasing Staffing Input”, and “Increasing Capital Input” during the peak season. Furthermore, these strategies form flexible combinations to realize livelihood outcomes, with “Extending Working Hours” being a necessary condition. The findings also revealed that the four configurations of seasonal livelihood strategies in the two patterns significantly contributed to high livelihood outcomes. One is named “Peak-Season Driven Pattern”; the other is named “Peak-Off Blend-Driven Pattern”. These findings provide theoretical and practical insights for sustainable livelihood research. Full article

Even though seasonality is an important concern in tourism research, only a few scholars have focused on the seasonality of rural tourism. Therefore, this study examines seasonality in rural tourism destinations. We adopt a mixed research approach to explore the sustainable livelihoods of households in rural tourism destinations from a seasonality perspective, using the case of rural tourism destinations in Yulong River basin, Guangxi, China. First, in-depth interviews and grounded theory are used to construct a sustainable livelihood model for households in rural tourism destinations under the influence of seasonality. Second, the model is tested using the data envelopment analysis model and statistical analysis. We find that (1) psychological capital, a previously neglected livelihood capital, is an important component of rural households’ livelihood capital in rural tourism destinations under the influence of seasonality; (2) rural tourism does not significantly improve rural livelihoods due to seasonal influences; and (3) participating in tourism work in the off-season and combining it with other work practices are the main livelihood strategies of rural households to cope with seasonality; however, over-dispersing resources reduces the livelihood efficiency. This study’s findings will prove useful for policy formation by governments to deal with seasonality in rural tourism. Full article

The importance of community attitude and participation for the success and sustainability of cultural festivals has been steadily increasing in recent years. The Chuncheon Puppet Festival (CPF) is an international festival that has been held every year since 1989 in Chuncheon, Korea. The festival has several distinctive characteristics as a sustainable event because: (a) it maintains its single genre of puppet performances based on modern cultural art; (b) it is well-established as the festival for the local residents of Chuncheon City and is planned by local community residents and local small companies, not by government agencies or global large entrepreneurs; (c) it helps children to have an interesting cultural experience in the local environment; and (d) it is regularly hosted in August, an off-season for festivals in Korea that was chosen by residents as it is a school holiday season. However, there is still room for improvement to secure its place as a successful sustainable festival. The following might be considered: (i) increased exchange of human resources among the festival executive members, community groups, and the public staff in Chuncheon City; (ii) local residents should maintain full control of the festival; and (iii) a local cultural trust should be established by cultural art professionals, local resident organizations, puppet show professionals, and public agency staff. The CPF is a typical example of a successful sustainable festival with proactive and supportive community participation and a large number of volunteers that help to increase local competitiveness and sustainable local development. This case report delivers insightful lessons and messages to guide what needs to be preconditioned for local cultural festivals to be sustainable and successful for a long time in many destinations, where they can contribute as efficient catalysts for regional tourism development. Full article

Seasonal variations in tourist satisfaction is an important issue for the sustainable management of national parks worldwide. Visitors should have high-quality experiences in both the high season and the off-season. This research investigated visitor satisfaction patterns and determinants in Banff National Park in different seasons. The study was conducted through a face-to-face questionnaire survey that collected visitor demographic, expectation and satisfaction data in July 2019 (high season) and December 2019 (off-season) in Banff National Park. The data analyses were based on a sample of 741 respondents and were processed using principal component analysis, correlation analysis and logistic regression models for different seasons. There were significant differences in visitor satisfaction levels and their determinants in different seasons. The quality of the park’s natural characteristics and the park’s activities were the most important determinant of visitor satisfaction in the high season and off-season, respectively. The correlation between visitor satisfaction and expectations in the high season was generally negative, whereas all correlations in the off-season were positive. The results fill a knowledge gap by examining the seasonal differences in visitor experience and their determinants in the national park, and by building a bridge between visitor experience and tourism seasonality. The findings may assist both practitioners and scholars in understanding visitor expectations and satisfaction in different seasons. They may assist in the prioritization and effective management of the park to optimize the visitor experience in both seasons and achieve tourism sustainability. Full article

Tourism seasonality generates negative environmental and economic impacts. This paper analyzes the effects of seasonality on the efficiency of the hotel industry in the Balearic Islands (Spain). To that end, a sample of hotel establishments is divided into two groups (those that close down during the off-season and those that do not). Data envelopment analysis (DEA) is applied to assess the radial efficiency of each of the selected hotels; then, directional distance functions (DDFs) are used to measure the degree of efficiency with which these hotels use each of the inputs that form part of their production process. To the best of our knowledge, this is the first time that the said technique has been applied to the hospitality industry to examine the effects of seasonality. The results of this study suggest that those establishments that do not close down their operations are markedly more efficient than the ones that do. Moreover, they are more efficient in the use of each input. Therefore, a reduction in the levels of tourism seasonality would improve the economic sustainability of the hotels and reduce the environmental pressure at peak times. Finally, in line with the theoretical hypotheses formulated, the results regarding the specific efficiency levels for each input show that the greater the degree of flexibility with which these inputs are used, the higher the efficiency. Full article