Search Results (206)

Existing research predominantly focuses on the preservation or renewal models of the physical forms of historic cultural districts, with limited exploration of their roles in stimulating tourists’ cognitive, affective resonance, and behavioral interactions. This study addresses historic cultural districts by evaluating the space quality and its impact on tourist experiences through the “cognition-affect-behavior” framework, integrating GIS, street view semantic segmentation, VR eye-tracking, and web crawling technologies. The findings reveal significant multidimensional differences in how space quality influences tourist experiences: the impact intensities of functional diversity, sky visibility, road network accessibility, green visibility, interface openness, and public facility convenience decrease sequentially, with path coefficients of 0.261, 0.206, 0.205, 0.204, 0.201, and 0.155, respectively. Additionally, space quality exerts an indirect effect on tourist experiences through the mediating roles of cognitive, affective, and behavioral dimensions, with a path coefficient of 0.143. This research provides theoretical support and practical insights for empowering cultural heritage space governance with digital technologies in the context of cultural and tourism integration. Full article

This study explores the enhancement of spatial vitality in the Historic Center of Macau from the perspective of museumification theory. This research employs GIS technology to analyze Baidu heatmap data, comparing the differences in spatial vitality between the festive and daily periods. Furthermore, experiential quality questionnaire data were collected from 224 tourists visiting the historical district, constructing a theoretical model of “objective vitality–experience quality”. Through objective analysis, the results indicate that the distribution of vitality in the Historic Center of Macau exhibits a clear core–periphery diffusion pattern. During the festive period, the intensity of spatial vitality significantly increases. Through subjective analysis, this study reveals that experiential quality has a significant impact on spatial vitality. Among the dimensions, education and inspiration, cultural exchange, and entertainment enjoyment have a notably positive effect on spatial vitality. The elements of education and inspiration play a crucial role during festive periods—particularly artistic attractions and educational entertainment—which positively influence vitality. This study innovatively applies museumification theory to the research of vitality in a historical district, providing valuable references for the sustainable cultural tourism development and cultural heritage preservation of the Historic Center of Macau. Full article

Tourism management in coastal destinations is vital to guide activity towards sustainable practices that ensure lower social and environmental impacts with greater benefits for the local community and experiences for tourists, especially in mature destinations where the main product is the beach. The aim of this research is to calculate the Tourist Carrying Capacity (TCC) of a stretch of beach in Mazatlán, Mexico, under past, present, and future scenarios, under different intensities of use. The main findings indicate that by 2025 the Effective Carrying Capacity (ECC) is 19,644, 29,822, and 4911 users with intensive, medium, and low occupancy levels, respectively. A decrease of −30.63% was found between the Effective Carrying Capacity of the 2025 scenario with respect to 2005 and a decrease of −68.90% is predicted for the year 2050 with respect to the current one, indicating an accelerated trend in the decrease of physical space and, therefore, greater pressure on the coastal ecosystem in case the trend of tourists goes upward, without being sustainably managed. These results are useful for agencies involved in beach and tourism management in mature coastal destinations. Full article

Suyukou Gully, located on the eastern slope of the Helan Mountains in northwest China, is a typical debris-flow-prone catchment characterized by a steep terrain, fractured bedrock, and abundant loose colluvial material. The area is subject to intense short-duration convective rainfall events, which often trigger destructive debris flows that threaten the Suyukou Scenic Area. To investigate the dynamics and risks associated with such events, this study employed the FLO-2D two-dimensional numerical model to simulate debris flow propagation, deposition, and hazard distribution under four rainfall return periods (10-, 20-, 50-, and 100-year scenarios). The modeling framework integrated high-resolution digital elevation data (original 5 m DEM resampled to 20 m grid), land-use classification, rainfall design intensities derived from regional storm atlases, and detailed field-based sediment characterization. Rheological and hydraulic parameters, including Manning’s roughness coefficient, yield stress, dynamic viscosity, and volume concentration, were calibrated using post-event geomorphic surveys and empirical formulations. The model was validated against field-observed deposition limits and flow depths, achieving a spatial accuracy within 350 m. Results show that the debris flow mobility and hazard intensity increased significantly with rainfall magnitude. Under the 100-year scenario, the peak discharge reached 1195.88 m³/s, with a maximum flow depth of 20.15 m and velocities exceeding 8.85 m·s⁻¹, while the runout distance surpassed 5.1 km. Hazard zoning based on the depth–velocity (H × V) product indicated that over 76% of the affected area falls within the high-hazard zone. A vulnerability assessment incorporated exposure factors such as tourism infrastructure and population density, and a matrix-based risk classification revealed that 2.4% of the area is classified as high-risk, while 74.3% lies within the moderate-risk category. This study also proposed mitigation strategies, including structural measures (e.g., check dams and channel straightening) and non-structural approaches (e.g., early warning systems and land-use regulation). Overall, the research demonstrates the effectiveness of physically based modeling combined with field observations and a GIS analysis in understanding debris flow hazards and supports informed risk management and disaster preparedness in mountainous tourist regions. Full article

Tourist destination classification is pivotal for enhancing the travel experience, supporting cultural heritage preservation, and enabling smart tourism services. With recent advancements in artificial intelligence, deep learning-based systems have significantly improved the accuracy and efficiency of landmark recognition. To address the limitations of existing datasets, we developed the Samarkand dataset, containing diverse images of historical landmarks captured under varying environmental conditions. Additionally, we created enhanced image variants by squaring pixel values greater than 225 to emphasize high-intensity architectural features, improving the model’s ability to recognize subtle visual patterns. Using these datasets, we trained two parallel YOLO11 models on original and enhanced images, respectively. Each model was independently trained and validated, preserving only the best-performing epoch for final inference. We then ensembled the models by averaging the model outputs from the best checkpoints to leverage their complementary strengths. Our proposed approach outperforms conventional single-model baselines, achieving an accuracy of 99.07%, precision of 99.15%, recall of 99.21%, and F1-score of 99.14%, particularly excelling in challenging scenarios involving poor lighting or occlusions. The model’s robustness and high performance underscore its practical value for smart tourism systems. Future work will explore broader geographic datasets and real-time deployment on mobile platforms. Full article

High-density cities have obvious characteristics of compact urban spatial form and intensive land use in terms of spatial environment, and have always been a topic of academic focus. As a typical coastal historical district, the Macau Peninsula pier district (mainly the Macau Inner Harbour) has a high building density and a low average street width, forming a vertical coastline development model that directly converses with the ocean. This area is adjacent to Macau’s World Heritage Site and directly related to the Marine trade functions. The distribution pattern of cultural heritage linked by the ocean has strengthened Macau’s unique positioning as a node city on the Maritime Silk Road. This text is based on the theory of urban development, integrates spatial syntax and POI analysis techniques, and combines the theories of waterfront regeneration, high-density urban form and post-industrial urbanism to integrate and deepen the theoretical framework, and conduct a systematic study on the urban spatial characteristics of the coastal area of the Macau Peninsula. This study found that (1) Catering and shopping facilities present a dual agglomeration mechanism of “tourism-driven + commercial core”, with Avenida de Almeida Ribeiro as the main axis and radiating to the Ruins of St. Paul’s and Praça de Ponte e Horta, respectively. Historical blocks and tourist hotspots clearly guide the spatial center of gravity. (2) Residential and life service facilities are highly coupled, reflecting the spatial logic of “work-residence integration-service coordination”. The distribution of life service facilities basically overlaps with the high-density residential area, forming an obvious “living circle + community unit” structure with clear spatial boundaries. (3) Commercial and transportation facilities form a “functional axis belt” organizational structure along the main road, with the Rua das Lorchas—Rua do Almirante Sérgio axis as the skeleton, constructing a “functional transmission chain”. (4) The spatial system of the Macau Peninsula pier district has transformed from a single center to a multi-node, network-linked structure. Its internal spatial differentiation is not only constrained by traditional land use functions but is also driven by complex factors such as tourism economy, residential migration, historical protection, and infrastructure accessibility. (5) Through the analysis of space syntax, it is found that the core integration of the Macau Peninsula pier district is concentrated near Pier 16 and the northern area. The two main roads have good accessibility for motor vehicle travel, and the northern area of the Macau Peninsula pier district has good accessibility for long and short-distance walking. Full article

Scientific site selection for urban parks is an important way to increase urban resilience and safeguard people’s well-being. Aiming at the lack of systematic consideration in the traditional park siting research, this study utilizes geographically weighted regression to explore the various characteristic factors affecting the spatial distribution of parks, and based on this, combines the random forest model and the interpretable model to accurately assess the potential of parks on urban land in Shenzhen and provide the basis for site selection. The study indicates that: ① Shenzhen’s parks exhibit complex differentiation characteristics in terms of natural landscape elements and the intensity of economic activities; ② The geographically weighted random forest (GWRF) model has better learning and generalization capabilities compared to the random forest (RF) model, and the average accuracy of the GWRF model is improved by 0.04 compared to the traditional RF model; ③ The park’s development potential is divided according to the results of the GWRF model, with 52.01% denoted as the potential incubation zone, 21.15% the potential accumulation zone, 8.25% the potential growth zone, and 18.59% the potential core zone; ④ Through interpretability analysis, it is identified that vegetation coverage, the density of tourist attractions or points of interest (POI), slope, elevation, and nighttime light intensity are the most significant factors affecting park development potential, while the distance to roads and the distance to bodies of water are the least influential factors. The research systematically explores a quantitative evaluation framework for the development potential of Shenzhen’s parks, opening new theoretical pathways and practical paradigms for the sustainable development planning of Shenzhen under the “Park City” concept. Full article

The coastal zone consists of diverse littoral habitats, which we categorize into two primary types: linear and areal. Investigating linear littoral habitats is crucial for resolving the ‘coastal squeeze’ phenomenon in coastal and marine protected areas and in seaside resorts. Our research aims to identify the critical conditions for the conversion of defunct seaside military training areas as brownfields into coastal protected areas and small-scale seaside resorts and their sustainable planning and management. The development of seaside tourism facilities is taking place both on the coast and in the hinterland, but the coast is used for tourism much more intensively than the hinterland. It is challenging to ‘pull’ tourists away from the linear beach to the areal hinterland. We argue that the distinctiveness of the resource use conflicts in coastal and hinterland tourism lies in an essential difference between the system’s linear and areal littoral habitats, as 78% of summer visitors in Pajūris Regional Park in Lithuania come for active leisure in nature. The results of our study show that combining the GIS interpretation algorithms, supported by the innovative conjoining of DPSIR and Delphi analytical tools, ensures site-tailored integrated management of the linear waterfront and the areal hinterland. Full article

This study analyses how the intensive use of short-term rentals (STRs) in the tourism sector contributes to the transformation and touristification of rural areas in mature tourist destinations, using the island of Mallorca, Spain, as a case study. Based on growth machine theory, the analysis innovatively examines the factors driving the expansion of STRs in rural spaces, with a focus on economic, social, and territorial dynamics. The research hypothesis is that the proliferation of STRs acts as a key element in rural touristification. Using a combination of spatial and temporal indicators, the study identifies patterns of intensification and dispersion of STRs in rural areas, offering a comparison with other Mediterranean destinations, particularly in Spain. The results show that STRs have generated significant spatial impacts, leading to the displacement of agricultural land use and increasing tensions within local communities, mainly due to rising housing prices. The study highlights the need to implement spatial planning policies that restrain the uncontrolled expansion of STRs, ensure sustainable tourism planning, and promote housing policies that protect residents from the negative effects of touristification. Various scenarios for the evolution of STRs are proposed depending on their regulation. Full article

This research aims to analyze the spatial and temporal distribution of residents and tourists in an urban context, assessing the risk of overtourism. To achieve this, a tourist city is conceptualized as a complex system and examined through an agent-based model (ABM), which simulates the interactions between heterogeneous agents and their environment. This computational approach enables the exploration of emergent spatial-temporal patterns and facilitates the interpretation of overtourism as a real-world experiment. The case study focuses on Santa Marta (Colombia), a well-established coastal destination currently facing potential entry into a phase of tourism decline if management remains reactive. Simulation results reveal a high risk of overtourism and illustrate the differentiated effects of two plausible management strategies at distinct spatial scales. Additionally, this study proposes a tourism intensity indicator, addressing the problem of overestimating tourism pressure in existing metrics. The proposed model offers a valuable decision-support tool for assessing impacts and designing proactive management measures in destinations experiencing rapid tourist growth across multiple spatial and temporal dimensions. Full article

Many ancient canal towns are distributed in southern China, serving as popular tourist destinations. However, these towns experience intense summer heat, with poor thermal comfort in their street spaces. Studying the thermal comfort of historical districts is therefore crucial for promoting tourism development. This research focuses on the Xiaohe Street Historical District, employing ENVI-met software v5.7 for the simulation analysis. Targeting waterfront spaces in ancient town historical districts, nine simulation scenarios were established to systematically compare the thermal environmental impacts of different widths, locations, and configurations of waterfront spaces. The key findings include the following. The waterfront space width shows a positive correlation with thermal environment improvement—wider spaces yield a more significant enhancement. However, when the width exceeds 5 m, a further expansion to 7 m shows a limited impact on the temperature, humidity, and wind speed, with diminishing returns. Distributed versus concentrated layouts of waterfront spaces show negligible differences in temperature and humidity regulation, but concentrated arrangements significantly enhance the street-level wind speed. Thus, under equivalent total width conditions, concentrated large-scale waterfront spaces are recommended. Installing shading facilities in waterfront spaces can effectively reduce the site temperature by over 2 °C. Aligning waterfront spaces with ventilation corridors substantially improves the wind speed, thereby enhancing thermal comfort. Through quantitative analysis, this study provides a scientific basis for optimizing thermal environmental design in canal-side historical districts. The findings offer practical guidance for similar renovation projects in canal historical districts. Full article

As global water resources face growing pressures from climate change and population growth, understanding the factors driving water stress becomes crucial. The tourism sector, one of the fastest-growing economic sectors worldwide, plays a pivotal role in this dynamic, often exacerbating water scarcity in regions with water stress. This paper explores this critical relationship through a theoretical framework based on the environmental Kuznets curve (EKC) hypothesis, introducing, as a novelty, water stress as the dependent variable through the water exploitation index plus (WEI+). The findings support the EKC hypothesis, revealing a non-linear yet diminishing effect of tourism volume—measured by international tourist overnights—on WEI+. This trend may be attributed to the fixed components of tourism-related water consumption and the adoption of water conservation practices by tourism enterprises. The findings also indicate that countries with intensive tourism tend to exhibit a lower EKC intercept compared to those with lower tourism intensity, likely due to heightened pressure on policymakers and businesses to curtail water consumption. By illustrating the varying impacts of tourism on water use across different income levels and regional contexts, this paper highlights the need for adaptive and region-specific strategies for water resource management. Full article

Effective forecasting of road transport demand is vital for optimizing transport planning and system efficiency. Despite technological and methodological advancements, the accuracy of these forecasts has not improved significantly over the past several decades, with typical errors ranging from 20% to 35%. These inaccuracies often result in either under- or over-capacitated transport systems, leading to unforeseen economic and financial consequences. This research focuses on factors that have an impact on road transport demand, based on research conducted in Croatia over the period from 2004 to 2016. It identifies three key impact groups—traffic and transport, economy, and demography—that impact road transport demand. The findings indicate that the annual rates of change in the number of registered motor vehicles have the most significant influence on road transport demand trends. Other key factors include real net wage growth, GDP growth rates, and the rate of domestic tourist arrivals. Additionally, the analysis reveals a statistically significant difference in transport demand intensity between motorways and state roads, highlighting the importance of considering unique traffic patterns in infrastructure planning. These insights provide a robust foundation for developing more accurate forecasting models and improving transport policy and investment strategies. Full article

Background: Jeju Island is a world-renowned tourist destination. However, with the increasing intensity of anthropogenic activities, the coastal marine environment of Jeju Island has been negatively affected. Methods and Results: Our study used five benthic indices to assess the ecological quality of the subtidal zone in northern Jeju Island. Our analysis indicated that apart from the benthic polychaetes amphipods index (BPA), other benthic indices assessed the ecological quality of the subtidal zone in northern Jeju Island as high or good. Distance-based redundancy analysis (dbRDA) indicated that pH and salinity primarily influenced macrobenthic communities in 2011 and 2012. According to the Spearman rank correlation analysis, the multivariate AZTI marine biotic Index (M-AMBI) showed stronger correlations with environmental data than other benthic indices. Conclusions: Overall, the averages of the five benthic indices suggested that the benthic ecological quality of the subtidal zone in the northern part of Jeju Island was high or good. Although immediate marine environmental management is not required, long-term monitoring remains essential. M-AMBI outperformed other benthic indices; however, we recommend using multiple benthic indices to assess the benthic ecological quality of Jeju Island due to the complexity of marine ecosystems. Effective support has been provided by our study for the marine environmental conservation along the coast of Jeju Island. Full article

This study assesses the tourism efficiency of European countries from a sustainability perspective, using variables representing demand sustainability, environmental sustainability, and the socio-economic impact of tourism. The results of the study show that out of 31 countries, 16 achieved the highest possible efficiency score. A significant challenging issue that can be highlighted for most European countries is the very short length of stay of tourists, except for in some Mediterranean countries, such as Malta and Croatia. Countries in Central/Eastern Europe, predominantly, have very high values of greenhouse gas intensity, which adversely affects the environment. Therefore, policymakers in these countries should work on improving environmental policies in order to prevent further environmental degradation. Also, strategically increasing length of stay can have a positive impact on various dimensions of sustainability, as length of stay is associated with more dispersed visitor travel patterns, reduced environmental impact and higher tourism expenditure. The projected input and output values for individual countries can provide insight into possible areas for improving tourism efficiency, and represent valuable information that policymakers can use when making long-term decisions regarding future tourism development. Full article