Search Results (870)

The intangible accessibility of real estate markets via platforms like Airbnb profoundly influences the urban development industry, propelled by the dynamics of short- to medium-term rentals for tourists. The suggested study aims to examine the association between the prices of listed properties and the influence of proximity to tourist attractions on location-driven pricing. The city of Rome acts as a case study from which to derive pertinent conclusions and proof on the phenomena intended for exploration. The methodological approach relies on a comprehensive classification of locations recognized as tourist attractions, drawn from public resources, travel guides, search engines, and online trends. The identified attractionswere subsequently classified to analyze how spatial proximity influences price formation. Data on short-term rental listings were obtained from the Inside Airbnb platform. The results enable the characterization of Rome as a polycentric urban system, composed of multiple tourism hubs whose spatial interactions are closely associated with prevailing hotel pricing patterns. This study emphasizes the influence of tourist demand on land values, a phenomenon intricately connected to urban gentrification and the capitalization of the real estate market. These findings enhance comprehension of tourism’s impact on the geographical and economic structure of cities. Full article

Population ageing is one of the main demographic trends of modern Europe. It is a challenge for the whole economy, including the tourism industry. The specific needs of seniors, resulting from the processes of physiological ageing, require appropriate adaptation of tourism offers to their requirements. This is the only way to implement the principle of inclusivity that underpins sustainable tourism. This article discusses the results of research on the preferences and habits of older people with regard to tourist trips, taking into account psychological aspects. The research goal was to learn about seniors’ tourism activity and the factors hindering it, as well as to determine the relationship between tourism and seniors’ well-being. This article presents the results of the survey conducted in a sample of 209 seniors from the Polish city of Szczecin, with the use of Paper and Pen Personal Interview (PAPI) and Computer-Assisted Web Interviewing (CAWI) techniques. The results enabled the identification of the frequency and purposes of senior travel, as well as the factors and the extent to which participation in tourist trips was hindered. Furthermore, the study examined the impact of tourist trips on seniors’ well-being and overall mood. As a result of the conducted research, it was demonstrated that travelling constitutes a source of positive emotions for seniors. It was found that the tourism activity of this group declines with age, and the main factors limiting participation in tourism were poor health and insufficient financial resources. Among the primary barriers to travelling, respondents indicated long travel times and language obstacles. Overall, seniors exhibited an open attitude toward tourism, expressing a positive outlook on discovering new destinations and meeting new people. The adopted research framework assumes that psychological and organisational factors influence behavioural outcomes through mechanisms related to constraints and preferences. By incorporating organisational and psychological aspects, the obtained results contribute to filling the existing research gap. Such a broad research perspective, along with the conclusions drawn from the study, may also have practical implications. A senior-centric approach adopted by entities involved in developing tourism offers for seniors may contribute to reducing or even eliminating the barriers that members of this group currently face when participating in tourism activities. This entails both economic and social benefits and supports the implementation of the Sustainable Development Goals in the area of tourism. Full article

The Songliao River Basin, as a core area of multicultural integration in Northeast China, still lacks systematic research on the spatial distribution of religious sites and their influencing factors. This study integrates spatial pattern analysis methods (kernel density, standard deviation ellipse, imbalance index) and spatial econometric models (spatial error model, geographically weighted regression model) to explore the spatial distribution characteristics of 1288 religious sites in the basin and the influencing mechanisms of natural, socio-economic, and cultural factors. Results: (1) Religious sites in the basin show a clustered distribution of “higher density in the south than the north, one main cluster and two sub-cores”, with a northeast–southwest trend and poor balance at the prefectural-city scale. (2) Cultural factors are the core driver; cultural memory and social capital in traditional villages promote the agglomeration of religious sites and shape the “one village, multiple temples” pattern. Intangible Cultural Heritage, Major Historical and Cultural Sites Protected at the National Level, and religious sites form a tripartite symbiotic spatial relationship of “cultural practice—spatial carrier—institutional identity”; natural factors lay the basic pattern of spatial distribution. (3) Policy factors have a significant impact: A-rated Tourist Attractions and Performing Arts Venues show a positive effect, while museums exhibit spatial inhibition due to functional competition. (4) Economic, Population, and Transportation factors had no statistically significant effects, indicating that their spatial distribution is driven primarily by endogenous cultural mechanisms rather than external economic drivers. This study fills the gap in research on the spatial distribution of religious sites in Northeast China. By integrating multiple methods, a quantitative demonstration of the coupling mechanism of multiple factors was conducted, providing scientific support for religious cultural heritage protection policies and sustainable development strategies amid rapid urbanization. Full article

This study presents a replicable methodology for identifying and evaluating the tourism potential of natural and cultural heritage through a comprehensive inventory. It aims to enhance regional competitiveness and foster sustainable destination development. The methodology combines bibliographic review, field observation, and local surveys, and it was validated through its application in a tourist destination city in Colombia, where resources were systematically classified and evaluated using qualitative and quantitative criteria, focusing on preservation quality and market relevance. The results revealed a rich and underutilized heritage portfolio with exceptional potential in categories such as religious architecture, goldsmithing traditions, local festivals, and natural riverine ecosystems. The city demonstrated a high capacity for developing tourism products grounded in cultural identity and environmental preservation. This methodology offers a robust, adaptable tool for tourism planning, bridging heritage valuation with market relevance. By integrating structured evaluation with local knowledge, the model supports data-driven decision-making and inclusive governance—essential for combating overtourism and promoting long-term resilience in heritage towns. Full article

The present research examines how employees perceive their firms’ CSR initiatives that ultimately translate into desired attitudes and behaviors, i.e., employee environmental commitment (EEC) and knowledge sharing (KS) at the workplace, by underpinning social identity theory. However, when do undesired working conditions, i.e., Perception of Politics (POP), adversely influence these desired outcomes? We deliberately selected 45 firms in the services and manufacturing sectors of Pakistan operating in larger metropolitan cities and prevalent tourist destinations, and actively participating in CSR activities. Thereafter, three self-administered surveys were conducted by employing a time-lagged design with two temporal breaks. A total of 655 surveys were distributed among middle managers across selected firms. Accordingly, it is found that employees who strongly identify with their organizations tend to align their personal values with organizational sustainability efforts and actively participate in environmentally responsible practices. They also demonstrate a greater willingness to share knowledge and enhance the organization’s collective intelligence. However, when employees perceive a high level of political behavior within the organization, their trust in its ethical standards diminishes, leading to various negative attitudes and behaviors in the workplace. This research contributed in two ways to the existing literature: (a) by examining the employees’ understandings of firms’ CSR engagements and their trickle-down effect on EEC and KS, (b) and studying when POP adversely effects the above relationship. Full article

This mixed-methods study examines how cultural heritage identity and co-creation value influence the tourist heritage experience in Prenggan Tourism Village, Yogyakarta, particularly focusing on local wisdom’s role as a mediator of these effects. This study was conducted in two sequential phases: the qualitative phase explored community narratives, cultural practices, and co-creation activities through interviews and observations, while the quantitative phase validated these insights using survey data collected over the past year from 208 domestic tourists. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to test the reliability and validity of the results and evaluate the hypothesized relationships. The findings reveal that both cultural heritage identity and co-creation value significantly strengthen local wisdom, which in turn enhances the depth and authenticity of the tourist heritage experience. This study demonstrates that local wisdom serves as a bridge between cultural identity and visitor engagement, promoting immersive and meaningful experiences. This research aligns with several United Nations Sustainable Development Goals (SDGs): it contributes to SDG 8 (Decent Work and Economic Growth) by supporting local livelihoods through tourism, SDG 11 (Sustainable Cities and Communities) by preserving cultural heritage and empowering local communities, and SDG 12 (Responsible Consumption and Production) by fostering sustainable and culturally respectful tourism practices. The findings contribute theoretical insights to the heritage-based experiential co-creation literature and offer practical implications for policymakers and destination managers aiming to enhance community-based tourism sustainability. Full article

Anhui Province in China possesses abundant and varied resources of intangible cultural heritage (ICH) and historic cultural cities (HCCs). Investigating their spatial distribution characteristics and synergistic development mechanisms holds significant importance for heritage conservation and sustainable development. This study employs GIS technology to analyze the spatial distribution patterns of two categories of heritage in Anhui Province during 2024, constructing an interactive matrix model between them. This provides both theoretical foundations and practical pathways for highlighting the contemporary value of intangible cultural heritage and fostering its innovative conservation and development. The findings indicate the following: (1) Regarding the structural attributes of the quantity and categories of ICH in Anhui Province, traditional craftsmanship and traditional drama account for the highest proportion of national-level ICH. Provincial-level ICH is dominated by traditional craftsmanship, and Quyi accounts for the lowest proportion at all levels. The distribution of tourism resources shows obvious regional differences, with Huangshan City and Hefei City being rich in resources, and areas such as Huaibei City being relatively poorer. (2) The spatial distribution shows a regular pattern, with national-level ICH randomly distributed and provincial-level ICH showing aggregation characteristics; HCC resources are randomly distributed, and there is a significant positive spatial correlation with ICH resources. (3) The construction of the “intangible cultural heritage tourism–historical and cultural city” matrix reveals four distinct categories of historical and cultural cities within Anhui Province: “high-potential ICH tourism—high-potential HCC”, “high-potential ICH tourism—low-potential HCC”, “low-potential ICH tourism—high-potential HCC”, and “low-potential ICH tourism—low-potential HCC”. These findings will assist cities in Anhui Province in formulating culture and tourist policies to enhance the regional tourism economy, informed by local resource circumstances and development methods. Full article

Understanding the spatial heterogeneity of traffic congestion drivers is crucial for data-informed urban planning in tourist cities. This study investigates the spatiotemporal relationship between built environment characteristics and traffic congestion in the central urban area of a major northern Chinese tourist city. We apply a Multiscale Geographically Weighted Regression (MGWR) model to geospatial data across four typical peak periods and benchmark the results against Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR). The MGWR model demonstrates superior capability in capturing spatial non-stationarity and multiscale effects. The results reveal strong spatiotemporal heterogeneity in the effects of built environment factors on congestion. Intersection density demonstrates a stronger mitigating effect during weekday evening peaks. Catering facilities significantly exacerbate congestion in tourist hotspots. Tourism-related facilities such as hotels and attractions intensify congestion during weekend peaks. Parking availability shows dual impacts, with peripheral parking reducing pressure and central clustering worsening congestion. Our geospatially disaggregated results provide empirical evidence for location-sensitive and temporally adaptive traffic management and urban design strategies. This study highlights the value of MGWR-based spatial modeling in supporting geoinformation-driven urban mobility planning. Full article

In recent years, as Chinese cities have entered a stage of high-quality transformation, enhancing livability and achieving refined governance within existing urban spaces has become a central issue in urban planning and management. The establishment of the Urban Physical Examination mechanism has provided a scientific framework for evaluating urban performance. However, most existing studies focus primarily on objective indicators, paying insufficient attention to residents’ subjective perceptions and their spatial variations. As a result, the multi-scale mechanisms underlying human settlement satisfaction remain poorly understood. Using Xiamen City as a case, this study draws on data from the 2025 Urban Physical Examination Resident Survey and constructs a Geographically Random Forest (GRF) model to examine how block, community, housing, and personal attributes jointly shape human settlement satisfaction (HSS) and its spatial heterogeneity. The results show that (1) overall, block’ business vitality is the most influential factor affecting HSS, followed by community management and housing safety, highlighting the dominant roles of the built environment and grassroots management in shaping residential experience; (2) management and safety issues at the community level are more prominent in suburban areas, old neighborhoods, and zones surrounding tourist attractions, reflecting a mismatch between service provision and urban expansion; (3) housing-scale factors display significant spatial variation, with tenure and housing affordability emerging as key determinants of satisfaction among residents in newly developed districts; and (4) at the personal characteristic, age, residential duration, occupational prestige, and household income exhibit marked spatial heterogeneity, revealing satisfaction patterns jointly shaped by social mobility and urban growth. The study concludes that multi-scale spatial identification and resident perception feedback mechanisms should be strengthened within the Urban Physical Examination framework. Such efforts can promote a shift from static indicator monitoring to dynamic spatial governance, providing theoretical and methodological support for refined urban management and the improvement of human settlement environments. Full article

The southern Anhui region is home to numerous atypical traditional villages. These settlements serve not only as vital spaces for residents’ daily lives but also as core venues for the transmission and dissemination of traditional culture. Consequently, effectively identifying and classifying these deteriorating traditional villages to formulate corresponding conservation and revitalization strategies has become a critical issue in cultural heritage preservation and utilization. This study focuses on 40 traditional villages in Yixian County, Huangshan City, Anhui Province, as its research subjects. Based on Points of Interest (POI), media sources, village archives, and field surveys, a systematic analysis of these traditional villages was conducted. By integrating a literature review with expert consultation within a multidisciplinary framework, we constructed a three-tiered evaluation system comprising 15 indicators across three major domains: resident experience, tourist engagement, and village environmental quality. The clustering results indicate that 33 out of the 40 villages are atypical. Based on indicator aggregation, these atypical villages are further categorized into two types: B1 (endangered-type) and B2 (resident-dominant/tourist supplementary type). Using this classification system, we propose tailored development strategies for each village type. The findings offer both theoretical and practical guidance for broader traditional village conservation efforts. Full article

This study introduces a Fuzzy–AHP–based analytical model for the quantitative assessment of authenticity loss in adaptive reuse practices, addressing a persistent gap in heritage research—the lack of reproducible mathematical frameworks capable of linking authenticity evaluation with sustainability indicators. Unlike previous studies that approach authenticity conceptually or qualitatively, this research develops a hybrid decision-support system that translates both intangible and tangible heritage attributes into measurable linguistic variables, enabling systematic and comparable authenticity assessments. The model was applied to ten traditional houses in Alanya, Türkiye, representing different adaptive reuse types (residential, cultural, commercial, and touristic). A total of 17 experts contributed to the Analytic Hierarchy Process (AHP) weighting stage, producing a Consistency Ratio of 0.0156 (<0.10), and 8 experts provided scoring inputs for the fuzzy system. The fuzzy inference system was implemented in MATLAB R2023a, incorporating seven main criteria and three subcriteria, nine input variables, five linguistic categories, and a rule base of 3400 fuzzy rules. Membership functions were defined within the 0–100 numerical range, and the centroid defuzzification method was used to compute final authenticity values. Model reliability was confirmed through Kendall’s W = 0.87, demonstrating strong inter-rater agreement. Results show that buildings retaining their original residential function achieved the highest authenticity scores (Final Score ≈ 86), while structures converted into boutique hotels or restaurants exhibited substantial authenticity losses (Final Score range: 25–45), especially within Group 2 criteria (environment, function, spirit, and intangible cultural heritage). This divergence illustrates a sustainability paradox: although adaptive reuse prolongs building life cycles and reduces embodied carbon, it may simultaneously undermine cultural sustainability when authenticity is significantly compromised. The proposed Fuzzy–AHP authenticity model provides a replicable, transparent, and empirically validated tool for evaluating the effects of functional transformation within a sustainability framework. By quantifying the relationship between adaptive reuse types and authenticity retention, the study contributes to sustainable heritage management research and supports the implementation of SDG 11—Sustainable Cities and Communities. 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

Understanding how different population groups interact with urban environments is essential for analyzing spatial dynamics and informing urban planning, especially in cities experiencing high visitor pressure. This study presents a methodological framework for the spatial and temporal delineation of urban areas based on user-generated location-based data. By collecting nearly 1 million Google Maps reviews in the municipality of Donostia-San Sebastián, we identify and classify user profiles based on their spatiotemporal behavior. First, we collect points of interest (POIs) and associated reviews, including profile identifiers and timestamps. Then, we perform user-level webscraping to reconstruct review histories, enabling us to infer the predominant geographical origin of each user. Users are classified as residents or tourists using both spatial prevalence and temporal activity patterns. The resulting data is aggregated onto a hexagonal grid for geostatistical analysis. Using the Getis-Ord Gi* statistic and Mann-Kendall trend tests, we identify hotspots and long-term trends of activity for different population segments. Additionally, we propose novel indicators such as predominant periods of activity and diversity of geographical origin per cell to characterize heterogeneous patterns of urban use. Our results reveal distinct behavioral patterns, highlighting a more evenly distributed use of urban space by residents, with spatially overlapping yet temporally offset activities across central areas where tourists tend to concentrate their interactions. This spatiotemporal concentration is intensified as the tourists’ origin becomes more distant, suggesting that proximity shapes urban engagement. The proposed methodology offers a replicable strategy for urban analysis using publicly accessible user-generated data and contributes to the understanding of sociospatial dynamics in tourism-intensive cities. Full article

Historic cities facing overtourism require evidence-based visitor dispersal to balance tourism growth with sustainable destination development. Focusing on Kyoto City, Japan, this study proposes an integrated analytical framework that combines objective tourism supply (POIs) and tourism demand (GPS trajectories) with visitor subjective perceptions from online tourist reviews to identify Alternative Attractions for Visitor Dispersal and evaluate their Composite Attractiveness. We (i) map supply–demand patterns to distinguish Hotspot Attractions versus Alternative Attractions (high-supply/low-demand); (ii) quantify Subjective Perceptions via an Aspect-Based Sentiment Analysis pipeline (ABSA) across landscape, experience, service, and transportation; and (iii) embed these sentiments into an improved Two-Step Floating Catchment Area (2SFCA) method that reframes accessibility from “reaching places” to “attaining high-quality experiences.” Kyoto exhibits a marked supply–demand mismatch, with Alternative Attractions concentrated around Fushimi, Sakyo (Nanzen-ji area), and outer Arashiyama. Negative perceptions (e.g., crowding) diminish the attractiveness of central Hotspot Attractions, whereas positive perceptions (e.g., pleasant atmosphere) enhance the attractiveness of peripheral Alternative Attractions, offsetting locational disadvantages. This framework offers not only data-driven support for Kyoto but also a replicable, experience-oriented model for sustainable tourism spatial management in other similarly challenged destinations. Full article

The chorematic method represents an innovative and contemporary approach for organizing tourist space, supporting the sustainable regional development of the future UNESCO Geopark, and guiding research, evaluation, and tourism monitoring activities in the area. This study applies Geographic Information System (GIS) techniques to develop a chorematic model illustrating the influence of county capitals, using Oltenia de sub Munte—an aspiring UNESCO Geopark in Romania—as a case study. The area’s complex geographical characteristics make it an ideal context for demonstrating the capabilities of GIS-based spatial analysis, including the use of the Reilly–Converse gravity model, which posits that a city’s influence increases with its population size and decreases with distance. The theoretical and methodological framework integrates spatial analysis and statistical visualization through the use of thematic maps and diagrams to explore the chorematic model and to assess tourism supply and demand. Accordingly, spatial representations based on chorematic modeling are presented, and the dynamics of tourism demand and supply from 2015 to 2024 are analyzed, focusing on the number of tourist arrivals, overnight stays, and the overall tourism offer within the Oltenia de sub Munte Geopark. Full article