Search Results (663)

By 2050, it is estimated that approximately 200 million people will be displaced due to the impacts of climate change. Vulnerability to climate change is shaped not only by environmental factors but fundamentally by systemic power relations and structural conditions present at both the places of origin and destination. In Latin America, climate-displaced persons predominantly settle in marginalised neighbourhoods, where widely accepted informality facilitates their rapid arrival but obstructs genuine progress and full integration as urban citizens. This paper critically examines the prevailing myths that justify the persistence of informality, revealing the socioeconomic challenges faced by climate migrants in the region. These four dominant myths are (1) Latin America’s inherently low productivity levels; (2) concessions by the ruling class enabling excluded groups to merely survive; (3) the perceived privilege of marginalised neighbourhoods to generate income outside formal legal frameworks, which supports their social capital; and (4) the limited benefits associated with formalisation. Debunking these myths is essential for developing effective public policies aimed at reducing informality and promoting inclusive urban integration, ultimately benefiting both climate migrants and host communities. Full article

Understanding the carbon emissions of multimodal travel—comprising walking, metro, bus, cycling, and ride-hailing—is essential for promoting sustainable urban mobility. However, most existing studies focus on single-mode travel, while underlying spatiotemporal and behavioral determinants remain insufficiently explored due to the lack of fine-grained data and interpretable analytical frameworks. This study proposes a novel integration of high-frequency, real-world mobility trajectory data with interpretable machine learning to systematically identify the key drivers of carbon emissions at the individual trip level. Firstly, multimodal travel chains are reconstructed using continuous GPS trajectory data collected in Beijing. Secondly, a model based on Calculate Emissions from Road Transport (COPERT) is developed to quantify trip-level CO₂ emissions. Thirdly, four interpretable machine learning models based on gradient boosting—XGBoost, GBDT, LightGBM, and CatBoost—are trained using transportation and built environment features to model the relationship between CO₂ emissions and a set of explanatory variables; finally, Shapley Additive exPlanations (SHAP) and partial dependence plots (PDPs) are used to interpret the model outputs, revealing key determinants and their non-linear interaction effects. The results show that transportation-related features account for 75.1% of the explained variance in emissions, with bus usage being the most influential single factor (contributing 22.6%). Built environment features explain the remaining 24.9%. The PDP analysis reveals that substantial emission reductions occur only when the shares of bus, metro, and cycling surpass threshold levels of approximately 40%, 40%, and 30%, respectively. Additionally, travel carbon emissions are minimized when trip origins and destinations are located within a 10 to 11 km radius of the central business district (CBD). This study advances the field by establishing a scalable, interpretable, and behaviorally grounded framework to assess carbon emissions from multimodal travel, providing actionable insights for low-carbon transport planning and policy design. Full article

Amid ongoing societal development, tourists’ travel behavior patterns have been undergoing substantial transformations, and understanding their evolution has emerged as a key area of scholarly interest. Taking Beijing as a case study, this research aims to uncover the spatiotemporal evolution patterns of tourist flows and their underlying driving mechanisms. Based on digital footprint relational data, a dual-perspective analytical framework—“tourist perception–tourist flow network”—is constructed. By integrating the center-of-gravity model, social network analysis, and regression models, the study systematically examines the dynamic spatial structure of tourist flows in Beijing from 2012 to 2024. The findings reveal that in the post-pandemic period, Beijing tourists place greater emphasis on the cultural connotation and experiential aspects of destinations. The gravitational center of tourist flows remains relatively stable, with core historical and cultural blocks retaining strong appeal, though a slight shift has occurred due to policy influences and emerging attractions. The evolution of the spatial network structure reveals that tourism flows have become more dispersed, while the influence of core scenic spots continues to intensify. Government policy orientation, tourism information retrieval, and the agglomeration of tourism resources significantly promote the structure of tourist flows, whereas the general level of tourism resources exerts no notable influence. These findings offer theoretical insights and practical guidance for the sustainable development and regional coordination of tourism in Beijing, and provide a valuable reference for the spatial restructuring of urban tourism in the post-COVID-19 era. Full article

Modern software solutions have a multiplicative effect on enhancing quality of life across various urban sectors, including the environment, education, public health, security, transportation, time efficiency, employment, and other key aspects of city living. This article addresses a specific issue concerning the organisation of leisure activities for both local residents and tourists, using the Chechen Republic as a case study. In response, the study aimed to develop a digital solution to address this challenge, with potential for integration into the Republic’s unified digital ecosystem. By employing system analysis methods, the authors identified the key objects and stakeholders involved in the problem domain. They also defined the software product’s functionality and classified user categories. Using Unified Modelling Language methods, a use case diagram was developed to illustrate the conceptual operation of the system. Furthermore, object-oriented design methods were applied to create a user interface prototype for the software product. As a result, a digital service was developed that enables users to create personalised leisure routes, taking into account individual goals, time constraints, traffic conditions, and the real-time status of urban infrastructure. The resulting software solution is both customisable and scalable. The article also presents selected examples of project development. Full article

This study examines the role of public–private partnerships in promoting the sustainable development of travel destinations through a comparative analysis of two emblematic heritage-based hospitality projects: Dar Tantora in Al Ula, Saudi Arabia, and Sextantio Le Grotte della Civita in Matera, Italy. These case studies were analysed through both architectural–urban and economic–legal perspectives to highlight how public–private partnership models can support heritage conservation, community engagement, and responsible tourism development. A mixed-methods approach was employed, combining quantitative indicators—such as projected profitability, tourist volume, and employment—with qualitative insights from interviews with key stakeholders. The analysis reveals that while both models prioritise cultural authenticity and adaptive reuse, they differ significantly in funding structures, legal frameworks, and governance dynamics. Dar Tantora exemplifies a top-down, publicly funded model integrated into Saudi Arabia’s Vision 2030 strategy, whereas Sextantio reflects a bottom-up, private initiative rooted in social enterprise. The findings offer insights into how different public–private partnership configurations can foster sustainable tourism development, depending on local context, institutional frameworks, and strategic goals. The study contributes to the broader discourse on regenerative tourism, architectural conservation, and policy-driven heritage reuse. Full article

This study aims to explore the walkability of three small areas (basic healthcare areas) of Barcelona city (Catalonia, Spain) for frail older adults. A mixed methods study design was conducted with 132 frail older adults in three primary care centers of Barcelona: Larrard, Barceloneta, and Vila Olímpica. A literature review was conducted to identify urban design indicators related to walkability and the aging population. These were then reflected in the surveys administered to the program participants, capturing information on their preferred routes, usual destinations, and walkability perceptions. Findings reveal significant mobility challenges for older adults, particularly the ones related to safety issues, the adequacy of sidewalk widths, greenery and urban furniture maintenance, and the presence/absence of commercial activities. This research underscores the importance of age-sensitive urban design in healthcare environments and provides a framework for enhancing walkability and accessibility for populations at greater risk of mobility-related health problems, such as frail older adults. Full article

Urban growth often surpasses the actual needs of the population, leading to inefficient land use and long-term environmental challenges. This study provides an integrated perspective on urban landscape transformation by linking socio-demographic dynamics with ecological consequences, notably vegetation loss and increased impervious surfaces. The study area is Năvodari Administrative-Territorial Unit (ATU), a coastal tourist city located along the Black Sea in Romania. By integrating geospatial datasets such as Urban Atlas and Corine Land Cover with population- and construction-related statistics, the analysis reveals a disproportionate increase in urbanized land compared to population growth. Time-series analyses based on the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) from 1990 to 2022 highlight significant ecological degradation, including vegetation loss and increased built-up density. The findings suggest that real estate investment and tourism-driven development play a more substantial role than demographic dynamics in shaping land use change. Understanding urban expansion as a coupled social–ecological process is essential for promoting sustainable planning and enhancing environmental resilience. While this study is focused on the coastal city of Năvodari, its insights are relevant to a broader international context, particularly for rapidly developing tourist destinations facing similar urban and ecological pressures. The findings support efforts toward more inclusive, balanced, and environmentally responsible urban development, aligning with the core principles of Sustainable Development Goal 11, particularly Target 11.3, which emphasizes sustainable urbanization and efficient land use. Full article

Sociodemographic aspects influence consumer perception in a food hall. This study evaluates the attributes that determine the gastronomic experience and examines how sociodemographic aspects (age, education level, income, consumption) affect the perception of restaurant attributes, satisfaction, and loyalty. Using a valid sample of 420 participants, exploratory factor analysis and multiple regression were applied. The results show that education level and income significantly affect satisfaction (β = −0.173; p = 0.006 and β = 0.195; p = 0.015, respectively) and loyalty dimensions, including revisit intention (β = −0.179; p = 0.004 and β = 0.269; p = 0.001), recommendation (β = −0.171; p = 0.005 and β = 0.295; p = 0.001), and intention to say positive things (β = −0.120; p = 0.051 and β = 0.215; p = 0.006). Unlike prior studies focused on traditional restaurants, this research offers new empirical evidence within food halls as hybrid gastronomic spaces. The findings provide practical insights for food hall managers and urban tourism developers by emphasizing the importance of segmenting marketing strategies according to education, income, and visit frequency to enhance customer satisfaction, loyalty, and destination attractiveness. Full article

Historic districts of ancient towns serve as significant carriers of historical and cultural heritage while also being popular tourist destinations. Within the context of urbanization and organic renewal, the protection and development of historic districts have become crucial research topics. This study collects literature from the Web of Science database and applies manual screening to ensure relevance to the research theme. Using CiteSpace as an analytical tool, the study conducts a visual analysis from multiple perspectives, including keywords, writing time, authors, centrality, keyword clustering analysis, and timeline visualization. By constructing a knowledge graph, this research explores the key pathways and knowledge nodes in the organic renewal of spatial environments in historic districts of ancient towns. Based on literature clustering, the study categorizes research into four major aspects: heritage conservation, cultural and tourism development, spatial planning and design, and environmental enhancement. Based on this, universal strategies for the cultural and tourism development of historic districts in ancient towns are proposed. The research focus shifts from emphasizing cultural heritage preservation to the integrated development of culture and tourism. In the spatial development of historic districts, everyday life scenes should be incorporated while new technologies should be utilized to enhance environmental comfort. This paper summarizes the current research frontiers in this field and proposes future research trends, providing valuable references for scholars in related areas. Full article

Ride-pooling (RP) services, in which passengers with similar destinations share a ride, offer considerable potential for enhancing urban mobility by bridging gaps in public transportation (PT) networks and providing a convenient alternative to private car use. For the effective design and operation of such services, a detailed understanding of user preferences and usage patterns is essential. This study investigates differences in RP preferences and usage between day and night (with nighttime defined as 10:00 p.m. to 5:00 a.m.), drawing on both a stated choice experiment (SCE) and revealed preference data collected in Mannheim, Germany. The focus lies on the local RP service fips, which is integrated into the PT system. The SCE, conducted in 2024 with 566 participants, was analyzed using a nested logit model. The analysis of the SCE reveals that nighttime preferences for RP are characterized by reduced sensitivity to travel time and cost, creating an opportunity for RP operators to optimize stop network designs during nighttime hours by increasing pooling rates. In addition, it indicates a greater likelihood of private car usage at night, especially among women, likely due to safety concerns and limited PT availability. The analysis of revealed preference data provides a complementary perspective. It shows that the RP nighttime service primarily attracts younger users, while many respondents report not being active on weekend nights. However, the combination of low public awareness and limited service availability, evidenced by rejected booking requests, suggests that existing demand is not being fully captured. This implies that low usage is not merely the result of low demand, but also of structural barriers on both the supply and information side. Overcoming these barriers through targeted information campaigns and expansion of nighttime service capacity could substantially enhance sustainable urban travel options during nighttime. Full article

In the context of macroeconomic recovery and accelerating digital transformation in the post-pandemic era, the hotel industry in China is undergoing profound structural changes. This research investigates the core competencies required for hotel managers to navigate these challenges. Data was collected via a quantitative survey involving a structured questionnaire, was conducted among hotel managers in Shanghai, China, resulting in 404 valid responses. Employing exploratory factor analysis using SPSS, this study identifies seven key competency dimensions encompassing 36 ranked items, including interpersonal communication, leadership, operational knowledge, human resource management, financial analysis, technology, and administrative management. The results show that economic recovery has brought new opportunities but also challenges to the hotel industry, and that managers must possess a diverse set of core competencies to adapt to the demanding new market changes. The novelty of this research lies in its empirical grounding and its focus on the intersection of digitalization and economic recovery within China’s hotel industry. It pioneers a dynamic strategic competency framework tailored to the evolving demands of the hotel industry during a period of economic volatility, providing empirical evidence and advice for optimizing the industry’s talent training systems. Simultaneously, it brings a new perspective for dealing with the recovery path for the hotel enterprises in other urban and travel destinations, aiming to promote industry sustainability and competitive advantages. Future research could extend the proposed framework by exploring its applicability across different cultural and economic contexts. Full article

As contemporary role models in the digital space, influencers are seen as one of the actors able to engage users with their posts, which also affects the image of a destination, and thus contributes to the co-creation process. At the same time, less information seems to be available on what elements influencers use and to what extent they influence the engagement of their followers. Through content analysis, the contributions to this image have been analysed by comparing different types of destinations and influencers. The results show that natural resources and undiscovered destinations generate a high level of engagement, a key element for co-creation. In addition, influencers, as the ambassadors of destinations, can have a positive impact on their sustainable development. Full article

In response to growing concerns about overtourism and the need for sustainable heritage tourism, this study investigates how external environmental stimuli affect tourists’ perceived value and behavioral intentions in historic urban environments. Using the Stimulus–Organism–Response (SOR) model as the theoretical framework, and based on 275 valid questionnaires collected from five major sites in the Historic Center of Macau, this study explores the direct and indirect relationships among four types of environmental stimuli (physical factors, social activities, environmental atmosphere, and information and services), perceived value, and behavioral intentions. The results of structural equation modeling (SEM) indicate that all four stimuli significantly influence perceived value and behavioral intentions. Among them, physical factors exert the strongest influence on perceived value (β = 0.291, p < 0.001), while social activities are the most influential predictor of behavioral intentions (β = 0.225, p < 0.01). Perceived value plays a significant mediating role in all relationships, with the largest mediation effect found in the path from physical factors to behavioral intentions (27.99%), followed by environmental atmosphere (24.80%), information and services (22.62%), and social activities (11.66%). These findings validate the applicability of the SOR model in heritage tourism contexts and highlight the central role of perceived value in shaping tourist behavior. Theoretically, this study advances our understanding of how multidimensional environmental stimuli contribute to value-based decision-making in tourism. Practically, it provides actionable insights for urban planners and heritage managers to design environments that promote deeper engagement and foster sustainable tourist behavior in high-density historic destinations like Macau. Full article

This article presents a social and historical analysis of Barranco district in Lima, Peru, examining its evolution as a postmodern tourism destination. Through documentary analysis of historical records, guidebooks, press articles, and novels, we investigate the significant social milestones along history with cultural, and economic impacts on tourism development in Barranco. The research employs a methodology to identify key elements that have shaped Barranco’s trajectory from a fishing settlement to a bohemian district in a lively city and finally to its status as a “hipster” neighbourhood. Drawing on postmodern tourism theory and Hawley’s socioeconomic development theory, we argue that Barranco represents a distinctive case of how cultural capital transforms and resignifies tourism spaces through complex identity processes. Findings reveal that Barranco’s development follows three clear phases: rural settlement (until the 19th century), seaside resort (mid-19th century to 1940s–60s), and urban district with postmodern tourism appeal (1990s onward). The study concludes that while Barranco’s bohemian and artistic identity has become a distinctive tourism asset, the district faces gentrification challenges that threat its sociocultural diversity and authenticity. This research contributes to understanding how postmodern tourism influences territorial identity transformation and illuminates the social, historical, and economic forces that shape distinctive urban tourism destinations. Full article

The need to promote proximity tourism in natural areas has made the destinations in the interior of the Iberian Peninsula a benchmark in the development of tourism in traditionally rural and depressed areas. In Ciudad Real province, a sustainable territorial management project was developed based on the uniqueness of its volcanic geoheritage, leading to its designation as the UNESCO Global Geopark “Volcanes de Calatrava, Ciudad Real”. Geoparks promote sustainable activities such as geotourism; thus, an urban geotourism itinerary was proposed in Piedrabuena (Ciudad Real, Castilla-La Mancha) in order to make the natural and cultural geoheritage of a part of the geopark known, which is also a part of the Campo de Calatrava Volcanic Region. For this purpose, 12 natural and cultural resources of the geoheritage of the Piedrabuena volcano, on which the urban centre is located, were identified, inventoried, characterized, and valorised as sites of geotouristic interest, and they were connected along a geotourism itinerary. This itinerary has a 4 km route and up to eight interpretive stops, which allows visitors and tourists to enjoy a geotourism experience based on the volcanic landscape of the geopark, laying the foundations for the creation of other similar experiences. Full article