Search Results (801)

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

Bike-sharing services contribute to reducing emissions and conserving natural resources within urban transportation systems. They also promote public health by encouraging physical activity and generate economic benefits through shorter travel times, lower transportation costs, and decreased demand for parking infrastructure. This paper examines the use of shared micro-mobility services in the Italian cities of Florence and Bologna, based on an analysis of GPS origin–destination data and associated temporal coordinates provided by the RideMovi company. Given the still-limited number of studies on free-floating and electric-scooter-sharing systems, the objective of this work is to quantify the performance of electric bikes and e-scooters in bike-sharing schemes and compare it to traditional, muscular bikes. Trips were reconstructed starting from GPS data of origin and destination of the trip with a shortest path criteria that considers the availability of bike lanes. Results show that e-bikes are from 22 to 26% faster on average with respect to muscular bikes, extending trip range in Bologna but not in Florence. Electric modes attract more users than traditional bikes, e-bikes have from 40 to 128% higher daily turnover in Bologna and Florence and e-scooters from 33 to 62% higher in Florence with respect to traditional bikes. Overall, turnover is fairly low, with less than two trips per vehicle per day. The performance is measured in terms of trip duration, speed, and distance. Further characteristics such as daily turnover by transport mode are investigated and compared. Finally, spatial analysis was conducted to observe demand asymmetries in the two case studies. The results aim to support planners and operators in designing and managing more efficient and user-oriented services. 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

The dual Hukou system, originating in China’s planned economy period, structured Chinese society into separate urban and rural segments, thereby generating distinct sets of rights and benefits for agricultural and non-agricultural residents regarding land, social security, education, and healthcare. Urban home purchase is a pivotal indicator of social integration for rural–urban migrants in destination cities. While the literature has extensively examined migrants’ residential conditions in China, the institutional impact of the agricultural hukou system—a core constraint—on their urban homeownership, along with its underlying mechanisms and heterogeneity, remains underexplored. To address this gap, this study adopts a twofold approach: theoretically, it employs the separating equilibrium model in housing markets with incomplete information to verify that agricultural hukou acts as an institutional barrier to migrants’ local home purchases; empirically, it uses data from the China Migrants Dynamic Survey (CMDS) and applies the Fairlie decomposition method to quantify the constraint effect. The empirical results suggest that agricultural hukou exerts a 29.72% suppressive effect on migrants’ urban home purchase behavior. This effect operates indirectly by weakening migrants’ long-term settlement intention, which serves as a mediating variable. Moreover, the hindrance of agricultural hukou varies heterogeneously across groups, differing in education level, generational cohort, and regional distribution. To advance the fair and sustainable development of the real estate market, we advocate accelerating hukou reform by decoupling public services from residence status, fostering inclusive urbanization, and ensuring equitable development of housing markets. Full article

Resource-based regions play an indispensable role as strategic bases for national energy and raw material supply in the global industrialization and urbanization process. However, intensive and large-scale natural resource exploitation—particularly mineral extraction—often triggers dramatic land use/cover changes, leading to a series of problems including cultivated land degradation, ecological function deterioration, and human settlement environment degradation. However, a systematic understanding of the functional transitions within the land use system and their drivers in such regions remains limited. This study takes Shenmu City, a typical resource-based city in the ecologically vulnerable Loess Plateau, as a case study to systematically analyze the transition characteristics and driving mechanisms of land use functions from 2000 to 2020. By constructing an integrated “element–structure–function” analytical framework and employing a suite of methods, including land use transfer matrix, Spearman correlation analysis, and random forest with SHAP interpretation, we reveal the complex spatiotemporal evolution patterns of production–living–ecological functions and their interactions. The results demonstrate that Shenmu City has undergone rapid land use transformation, with the total transition area increasing from 27,394.11 ha during 2000–2010 to 43,890.21 ha during 2010–2020. Grassland served as the primary transition source, accounting for 66.5% of the total transition area, while artificial surfaces became the main transition destination, receiving 38.6% of the transferred area. The human footprint index (SHAP importance: 4.011) and precipitation (2.025) emerged as the dominant factors driving land use functional transitions. Functional interactions exhibited dynamic changes, with synergistic relationships predominating but showing signs of weakening in later periods. The findings provide scientific evidence and a transferable analytical framework for territorial space optimization and ecological restoration management not only in Shenmu but also in analogous resource-based regions facing similar development–environment conflicts. Full article

The increasing availability of IoT-enabled mobility data and intelligent transportation systems in Smart Cities demands efficient and interpretable models for destination prediction. This study presents a comparative analysis between Markov Chains and Hidden Markov Models applied to urban mobility trajectories, evaluated through mean precision values. To ensure methodological rigor, the Smart Sampling with Data Filtering (SSDF) method was developed, integrating trajectory segmentation, spatial tessellation, frequency aggregation, and 10-fold cross-validation. Using data from 23 vehicles in the Vehicle Energy Dataset (VED) and a filtering threshold based on trajectory recurrence, the results show that the HMM achieved 61% precision versus 59% for Markov Chains (p = 0.0248). Incorporating day-of-week contextual information led to statistically significant precision improvements in 78.3% of cases for precision (95.7% for recall, 87.0% for F1-score). The remaining 21.7% indicate that model selection should balance model complexity and precision-efficiency trade-off. The proposed SSDF method establishes a replicable foundation for evaluating probabilistic models in IoT-based mobility systems, contributing to scalable, explainable, and sustainable Smart City transportation analytics. Full article

Transportation recommendation systems (RS)s have garnered significant attention owing to their ongoing potential for enhancement. One of the key innovations in this domain is multimodal transportation RSs, which suggest travel routes using a combination of different transportation modes. In this paper, a multimodal transportation RS is introduced, which recommends optimized trajectories based on user preferences. The system involves two main steps, trajectory generation and ranking. In the first step, Particle Swarm Optimization (PSO) is used to find optimal trajectory combinations between the origin and destination, followed by post-processing. In the second step, the generated trajectory is evaluated using a RankNet model trained on historical user data with a content-based approach. The results demonstrate the system’s ability to generate feasible trajectories and provide precise recommendations. The results enable an efficient usage and convenient user experiences and may foster the broader use of public transportation combined with other transport modes addressing the objectives of smart and sustainable future cities. Full article

As typical dynamic loads, electric vehicles (EVs) introduce significant uncertainty into distribution network operations due to the randomness of their travel behavior and charging demand. To achieve precise spatiotemporal forecasting of charging loads, this paper constructs a multi-dimensional transportation network model that accounts for dynamic road impedance factors and introduces a unit-distance energy consumption calculation method based on road impedance. By integrating the division of urban multifunctional zones and differentiated state-of-charge (SOC) threshold distributions across various EV types, a mapping model between travel chains and charging behaviors is established. Subsequently, large-scale travel and charging events are generated using an origin–destination (OD) probability matrix and Monte Carlo sampling to derive the spatiotemporal distribution of regional EV charging loads. Simulation results for a representative city in southwest China show that the predicted charging loads exhibit a dual-peak pattern, with significant differences across regions and vehicle types, and align well with observed load trends, validating the effectiveness and engineering applicability of the proposed method. Full article

Given the huge contribution of the transportation sector to CO₂ emissions in metropolitan areas, urgent countermeasures are needed to achieve carbon neutrality. In this study of 66 administrative units (cities, counties, and districts) in the Seoul metropolitan area, we applied cluster analysis and a hierarchical regression model to analyze the impact of the 7D factors of Transit-Oriented Development (TOD) on CO₂ emissions from road transportation. The effects of TOD factors were found to vary in diverse contexts. A higher concentration of employment intensified regional travel demand, thereby increasing emissions—a phenomenon referred to as the Paradox of Concentration. In contrast, the expansion of urban rail and bicycle infrastructure facilitated modal shift toward sustainable transport but simultaneously stimulated commercial and logistics activities, leading to elevated overall emissions. Thus, a ‘two-faced infrastructure’ pattern is evident in the Seoul metropolitan area. Conversely, strengthened local self-containment by destination accessibility promoted short-distance travel, curbing emissions. These outcomes empirically exhibit that the low-carbon effect of TOD is contingent, implying that urban structure and policy context are key factors in determining emission pathways. The impacts of the TOD 7D factors are discussed in terms of emission effects, and differentiated policy directions reflecting inter-city heterogeneity are suggested. In particular, the results of our analysis emphasize the need for comprehensive TOD strategies that combine transportation infrastructure, demand management, local self-containment, and zero-emission logistics systems, beyond simple compact development strategies. The policy implications described here are applicable in other countries experiencing rapid urbanization. Full article

This article explores participatory planning as a key tool for addressing the challenges of overtourism, a phenomenon that exerts complex pressures on the environment, social cohesion, and the cultural identity of cities, despite its contribution to economic growth. Through a comparative analysis of six European urban destinations with high tourism intensity, the study presents different forms of participatory processes as strategies for the sustainable management of tourism. The findings show that the active involvement of stakeholders—local authorities, professional associations, civil society organizations, and residents—strengthens the legitimacy and social acceptance of policies, while improving their overall effectiveness. The article examines whether existing strategies address the structural conditions that generate overtourism or are limited to managing its symptoms, and how the level of community engagement influences the sustainability of these policies. It also highlights that the concept of overtourism, while useful, is often overused in both public and academic discourse, which makes evidence-based analysis even more crucial. The study concludes that there is a pressing need for a more inclusive and strategically oriented model of tourism governance, one that goes beyond symptom management and targets the deeper causes of the phenomenon. Full article

This study validates the Sustainable Tourism Attitude Scale (SUS-TAS) in four major Spanish cities—Madrid, Barcelona, Bilbao, and Seville—assessing residents’ perceptions of tourism sustainability. A quantitative approach was used, with data collected from 660 residents via an online survey. Exploratory Factor Analysis (EFA) with Varimax rotation confirmed a seven-factor structure, and ANOVA tests revealed significant perceptual differences across cities. Results show that residents in Barcelona report the highest perceived social costs, while Bilbao shows greater support for long-term planning, reflecting varying levels of tourism maturity. The study confirms that sociodemographic variables—especially sex and education—shape sustainability attitudes, while age has no significant effect. Findings support the need for context-sensitive policies that integrate resident voices into sustainable tourism planning. This research fills a gap by validating SUS-TAS in mature European destinations, offering a reliable tool for urban tourism governance. 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

As global population ageing accelerates and urban governance increasingly prioritizes livability and age-friendly services, the 15-minute living circles concept has emerged as a key strategy to support daily walking exercise, social participation, and healthy ageing. In waterfront cities, blue spaces function as important everyday settings that contribute to environmental quality, recreational opportunities, and ecosystem services for older adults. This study extends the conventional 5D built environment framework by explicitly integrating blue space elements and characterizes older adults’ walking behaviour using four indicators across two dimensions (temporal and preference-based). We applied XGBoost regression and multiscale geographically weighted regression (MGWR) to identify threshold effects and spatial heterogeneity of blue space elements on older adults’ walking, and used K-means clustering to delineate blue space advantage zones within living circles. The results show that blue space accessibility, street scale, and water body density exhibit significant nonlinear relationships with older adults’ walking. Blue space elements shape walking behavior differentially and with pronounced spatial variation: in some living circles they encourage longer, recreational walks, while in others they stimulate high-frequency, short-distance walking. These effects produce destination preferences and time period preferences. The study highlights the pivotal role of blue spaces in age-friendly living circles and, based on spatial synergies among blue space advantage zones and their components, proposes renewal strategies including expanding the functional reach of blue spaces, constructing blue slow-walking corridors, and integrating blue–green symbiotic networks. Full article

The 2026 opening of the Gordie Howe International Bridge between Windsor, Ontario, Canada and Detroit, Michigan, USA, with its multi-use trail for cyclists and pedestrians, is projected to catalyze cross-border trail tourism and help further revitalize these two border cities. Both Windsor and Detroit have unique, extensive trail systems with compelling destinations. However, cross-border trail tourism institutionalization needs improvement. Tourism, greenway, and destination partners should explore creating a boundary organization to foster and market cross-border trail tourism. Recommendations from a 2024 cross-border trail tourism conference include: develop strategies for community engagement and storytelling to enhance cultural connections between regions; strengthen ties between trail groups and environmental organizations to provide trail experiences that reconnect people with the river and other natural resources; support the region’s efforts to obtain a UNESCO World Heritage Site designation for the Underground Railroad and support the Canadian federal designation of Windsor’s Ojibway National Urban Park; strengthen collaborations between tourism and cycling partners to promote and market cross-border trail tourism; institutionalize greenway assessments (every 5–10 years) to evaluate trail segment completions, gaps, potential route improvements, safety improvements, equity considerations, etc., and to keep greenways in the public consciousness; and measure and broadly communicate the economic impact of cross-border trail tourism resulting from the bridge. Full article