Search Results (1,223)

The pervasive rise in digital platforms has fundamentally recalibrated the relationship between urban communities and their cultural landscapes, reconfiguring not only the sensory experience of these environments but also their interpretive frames and the everyday contestations that surround them. Using coffee spaces in Beijing as an empirical lens, this study integrates 630 validated POI locations, 287,632 online reviews from Dianping, GIS spatial analysis, LDA topic modelling, semiotic coding, and a fine-tuned RoBERTa (Robustly Optimized BERT Pretraining Approach) text classifier to examine the convergence between platform-mediated public perceptions and urban spatial differentiation. Our spatial interrogation identifies a statistically significant centre–periphery divide within this platform-curated corpus—a pattern that describes the geography of platform-mediated visibility rather than the total physical distribution of coffee outlets in Beijing, characterised by pronounced high-density agglomerations nesting within historic urban cores, central business districts, nascent knowledge hubs, and gentrifying lifestyle enclaves. Three landscape prototypes are derived from the data—business corridors, cultural experimental fields, and social-media spectacles. Each type exhibits discernibly different patterns of spatial density, adjacent land-use configurations, perceived experiential qualities, and underlying symbolic discourses. While positive sentiments dominate platform discourse, localised anxieties emerge regarding visual homogenization, intense queuing, premium pricing, and loss of place authenticity. The 630 venues analysed here represent a platform-visibility stratum—establishments sufficiently reviewed to feature on digital intermediaries—and the spatial patterns we map describe the geography of this visibility rather than the total physical distribution of coffee outlets. Full article

Urban informality in amphibious territories represents a critical yet understudied dimension of contemporary urbanisation in the Global South. This article analyses the interrelations between spatial transformation, social equity, and environmental change in Las Flores, an informal settlement located between the Mallorquín Lagoon and the Magdalena River in Barranquilla, Colombia. Drawing on a mixed-methods approach combining GIS interpretation, participatory mapping, and in-depth interviews, the study examines how processes of informal territorialisation have reshaped both the physical landscape and the social fabric of this amphibious environment. Results indicate that the settlement has expanded progressively over the past two decades, occupying areas of the wetland previously covered by mangroves and natural vegetation. This expansion has been accompanied by environmental degradation, soil infilling, and declining water quality. Residents face persistent infrastructural deficits, limited access to education and healthcare, and increasing social fragmentation between the formal and informal sectors. Yet, the community also exhibits strong organisational capacity, adaptive livelihoods, and a deep sense of place that sustains local identity and resilience. These dynamics exemplify the paradox of amphibious life: coexistence with water as both a resource and a source of vulnerability. Building on these findings, the study develops an urban socio-ecological conceptualisation of Amphibious Justice, a framework for interpreting equity, recognition, and governance in hybrid territories where urbanisation and land–water dynamics intersect. The article proposes a framework of equitable amphibious urbanism that integrates environmental restoration, social inclusion, and participatory governance. The findings suggest that sustainability in such territories cannot be achieved through technocratic restoration or forced resettlement, but through co-produced strategies that recognise local knowledge, tenure security, and ecological stewardship. Ultimately, the case of Las Flores offers insights into how cities in the Global South can pursue just and adaptive coexistence with water amid growing climate and urban pressures. Full article

The search and discovery of underwater shipwreck sites represent the most arduous and critical phases of underwater archaeology. Wooden shipwrecks, in particular, are characterized by low acoustic impedance contrast and weak magnetic anomalies, coupled with their limited physical dimensions. Consequently, they predominantly exist as shallow-buried, discontinuous small targets scattered within confined areas, making their detection exceptionally challenging. Furthermore, the complexity of the submarine environment—including rugged topography, turbid water columns, and strong currents—poses formidable obstacles to the effective detection of these archaeological remains. Single geophysical methods are often limited by insufficient imaging resolution, interpretation ambiguity, and geological noise, making precise localization and characterization difficult. Focusing on the Nan’ao I Ming Dynasty shipwreck located in waters approximately 24 m deep off the coast of Nan’ao, Guangdong Province, China, this study proposes and validates an “acoustic-magnetic” multi-source data integration detection method. This approach systematically integrates high-resolution multibeam echo sounding (MBES), side-scan sonar (SSS), sub-bottom profiling (SBP), and marine magnetic data to establish a comprehensive framework for identification and integration analysis. The results indicate that the MBES bathymetric data reveal a regular, elongated structure oriented north–south (approximately 34 m × 12 m), closely matching the main hull and deck configuration. The SSS imagery exhibited high backscatter intensity and parallel linear textures, effectively delineating the hard shipwreck structure and the associated rigid protective frame employed for in situ preservation. SBP data confirmed the semi-buried state of the shipwreck (burial depth of approximately 0.6 m). Spatial variations in sediment thickness around the site suggested ongoing modification by strong hydrodynamic processes. Marine magnetic surveys identified localized negative anomalies (−210 nT relative to the ambient magnetic field), contrasting sharply with the positive anomalies of the surrounding natural reefs, thereby indicating an artificial ferromagnetic source. The spatial registration and feature superposition of multi-source data facilitated the characterization of the shipwreck, demonstrating its potential to mitigate environmental interference and enhance detection reliability in this complex environment. Using the Nan’ao I shipwreck site as a case study, this study provides a detailed characterization of the site’s 3D morphology, burial state, and physical properties. The proposed methodology offers a practical and robust technical solution for underwater shipwreck archaeology in complex nearshore environments, providing significant implications for proactive discovery, efficient investigation, and protection of underwater cultural heritage (UCH). Full article

Ensuring the long-term sustainable utilisation of supplemented cropland has become a critical challenge for implementing China’s requisition–compensation balance of farmland (RCBF) policy, particularly in the fragmented hilly and mountainous regions of Southwest China. Existing studies generally evaluate land suitability and utilisation performance separately, making it difficult to identify mismatches between theoretical suitability and actual utilisation and thereby limiting targeted regulation. To address this limitation, this study proposes a suitability–utilisation deviation identification (SUDI) framework, which integrates four sequential analytical components: three-dimensional suitability assessment, suitability–utilisation deviation identification, driving mechanism analysis, and sustainable regulation. Taking Beibei District of Chongqing as a case study, supplemented cropland parcels were identified using the 2020–2024 land change survey data. A three-dimensional suitability evaluation system incorporating production, ecological, and utilisation attributes was established to quantify theoretical land suitability. Actual utilisation performance was characterised using the land economic utilisation coefficient, and suitability–utilisation deviation was identified through residual analysis between theoretical suitability and utilisation intensity. A Bayesian-optimised Extreme Gradient Boosting-SHAP (XGBoost-SHAP) model was subsequently employed to reveal the nonlinear effects and interaction mechanisms of the driving factors. The results indicate the following: (1) supplemented cropland in Beibei District is predominantly characterised by medium-to-high suitability, with high-suitability patches exhibiting a mosaic spatial pattern of local aggregation and overall dispersion; (2) suitability–utilisation deviation is dominated by under-utilised plots, whereas well-matched and over-intensified plots account for substantially smaller proportions, indicating that insufficient realisation of land suitability is the prevailing utilisation pattern; and (3) the land economic utilisation coefficient is the dominant factor driving suitability–utilisation deviation, while high-standard farmland construction and plot area exhibit significant mitigating effects. Moreover, significant interaction effects between utilisation intensity and location-related variables reveal that unfavourable spatial conditions amplify deviation risk under intensive land use. The proposed SUDI framework extends conventional suitability assessment by explicitly linking suitability evaluation with utilisation performance, driving mechanism analysis, and differentiated regulation. It provides a transferable analytical framework for diagnosing suitability–utilisation mismatch and supports dynamic management and sustainable utilisation of supplemented cropland in fragmented hilly and mountainous regions. Full article

Sustainable aviation fuel (SAF) deployment requires simultaneous coordination of spatially distributed biomass supply chains and nonlinear conversion technologies. This study develops an integrated multiscale optimization framework for SAF production in Mexico using second-generation sugarcane bagasse as the lignocellulosic resource for alcohol-intermediate production, followed by an intensified Alcohol-to-Jet (ATJ) upgrading stage targeting Mexico City Airport. A multi-period mixed-integer linear programming model optimizes harvest-area selection, biorefinery location, biomass allocation, inventory, production, and distribution, while an Aspen Plus model of an intensified Alcohol-to-Jet (ATJ) process with reactive distillation is optimized using Differential Evolution with Tabu List. In this framework, the ATJ block is not modeled as direct biomass-to-jet conversion. In the base case, ethanol is used as the representative alcohol intermediate. Therefore, the upstream biomass-to-alcohol section is represented through an effective bagasse-to-ethanol coefficient, whereas the Aspen Plus–DETL model explicitly describes the downstream ethanol-to-ATJ-range hydrocarbon blendstock upgrading section through dehydration, ethylene oligomerization, hydrogenation, and fractionation. Process yield, production cost, environmental impact, and feasible capacity are fed back into the supply chain model, making process performance endogenous rather than fixed. Results show that the decoupled supply chain baseline favors large production capacities, reducing TAC from approximately 1010 to 340 USD/tSAF and system-level EI99 from 1.110 to 1.059 kPt EI99/tSAF as capacity increases from 80,000 to 490,000 tSAF/year. This corresponds to an environmental reduction of approximately 5.2%. In contrast, isolated ATJ optimization exhibits nonlinear scale-dependent behavior, with process-only EI99 decreasing from approximately 1.70 to 0.55 kPt EI99/tSAF. The integrated framework identifies an intermediate capacity region of 120,000–300,000 tSAF/year, with TAC values of approximately 3400–6800 USD/tSAF and total EI99 values of approximately 0.78–1.31 kPt EI99/tSAF. The integrated base case at 200,000 tSAF/year has an EI99 value of approximately 1.063 kPt EI99/tSAF. Full article

To understand the epidemiological characteristics and patterns of mushroom poisoning in Zhejiang Province from 2012 to 2023, and to overcome the limitations of previous descriptive studies in precise early warning and spatial identification, this study explored the feasibility of identifying spatial distribution characteristics and high-risk spatiotemporal clusters. First, descriptive epidemiological analysis was conducted on 2276 cases from the Foodborne Disease Case Surveillance System and 408 outbreaks from the Foodborne Disease Outbreak Surveillance System reported over the 12-year period to clarify the basic characteristics and trends of poisoning. Subsequently, spatial autocorrelation analysis (Moran’s I) was employed to reveal spatial dependence and clustering patterns. Finally, spatiotemporal scan statistics (SatScan) were used to precisely identify high-risk spatiotemporal clusters, systematically analyzing the spatiotemporal distribution and clustering patterns of mushroom poisoning cases. The results showed a distinct summer–autumn seasonal peak (June–October), attributed to the subtropical monsoon climate with high temperatures and abundant rainfall, which is conducive to mushroom growth. Farmers were the most affected population (47.93%), and homes were the primary poisoning locations (71.7%), reflecting widespread foraging habits and insufficient risk awareness in rural areas. Chlorophyllum molybdites (36.27%) and Russula japonica (10.05%) were the dominant poisoning mushroom species, with gastrointestinal symptoms being the predominant clinical manifestation (84.07%). Spatial analysis revealed significant spatiotemporal clustering of mushroom poisoning in Zhejiang Province. The global Moran’s I index showed significant positive autocorrelation in some years (p < 0.05), with local hotspots mainly distributed in western Zhejiang counties. This pattern is driven by a dual model of environmental suitability and behavioral risk, resulting from the high forest coverage and humid climate of the western Zhejiang mountainous areas providing suitable habitats, combined with long-standing foraging habits among local residents. Retrospective spatiotemporal scanning identified high-risk clusters for each year from 2018 to 2023, with the Lishui area in 2023 being the most significant cluster (Relative Risk (RR) = 15.44, Log-Likelihood Ratio (LLR) = 114.49). The results confirm that mushroom poisoning in Zhejiang Province exhibits a stable and identifiable spatiotemporal clustering pattern, providing a quantitative basis for precise health education and targeted prevention and control in high-risk counties of western Zhejiang during June–October, thereby shifting the approach from passive reporting to targeted intervention. Full article

Enhancing urban ecological resilience is key to addressing resource exhaustion and urban decline in resource-exhausted cities, as it facilitates the re-coordination of the human-land relationship territorial system. Using panel data from 281 prefecture-level cities in China from 2005 to 2023, we apply the multi-period Difference-in-Differences (DID) model to estimate the impact of supportive policies on urban ecological resilience. The results show that supportive policies significantly improve ecological resilience, with pronounced effects on resistance and adaptability, while the effect on recoverability remains limited. Mechanism analysis indicates that the policy works through promoting green innovation, reducing energy consumption, and strengthening environmental governance. Heterogeneity analysis shows that the effects vary across geographic locations and resource types. Supportive policies generate significant spatial spillover effects on enhancing urban ecological resilience and exhibit an evolutionary sequence of radiation, siphoning, equilibrium, and decline as geographic distance increases. These findings inform policy design for ecological restoration and regional coordination in resource-dependent regions. Full article

In the kinship-based social structure of traditional China, traditional villages often exhibit strong clan organizational characteristics, which are reflected in their spatial layouts and settlement forms. However, existing studies on traditional villages have paid limited systematic attention to clan culture as an endogenous form of social organization. Taking traditional villages in southern Shanxi as the research object, this study classifies traditional villages from the perspective of clan culture based on clan-related characteristics and analyzes the typical spatial structural features of different village types. On this basis, GIS techniques are used to examine their spatial distribution patterns and to compare the spatial differentiation of different village types in terms of elevation, slope, road accessibility, and proximity to water systems. The results show that, from the perspective of clan culture, traditional villages in southern Shanxi generally present an “east-dense and west-sparse” spatial distribution pattern. Different types of traditional villages show certain differences in spatial distribution and natural-locational conditions. The distribution pattern of Clan-Space-Dominated Villages is relatively consistent with the overall distribution of traditional villages in southern Shanxi; these villages are mostly located in areas with higher elevation, greater terrain relief, and relatively weaker road accessibility. Multi-Clan-Partitioned Villages show a multi-scale and multi-node clustering pattern and are more often distributed in areas with relatively better road connections and gentler terrain. Family–Courtyard-Dominated Villages present a pattern of “overall dispersion with local clustering” and are mostly distributed in hilly and gully-developed areas. All three types of villages show a certain degree of proximity to water systems. This study provides a macro-scale analytical perspective for understanding the spatial distribution of traditional villages in the context of clan culture. The findings may offer a theoretical reference for the protection and renewal of traditional villages and contribute to their integrated conservation and living inheritance. Full article

Chinese native-place association buildings are important public buildings and built heritage of overseas Chinese communities, organized around migrant subgroups. Taking Melaka, Penang, and Singapore as cases, this article constructs a diachronic H-GIS database through field investigations and documentary research, and applies kernel density estimation (KDE), the mean nearest neighbor index (MNI), and the intergroup proximity ratio (R) to examine the urban distribution of these buildings and intergroup spatial relationships. In all three cities, association buildings were long anchored in port-commercial spaces and historic districts yet followed different trajectories: single-core continuity with local expansion in Melaka, north–south dual-core continuity in Penang, and postwar relocation from Chinatown to Geylang in Singapore. In the nineteenth century, different dialect-based migrant subgroups exhibited varying degrees of spatial segregation. From the twentieth century onward, association locations no longer strictly followed early dialect-based districts, and cross-subgroup juxtaposition within the same urban areas increased. Comparison across the three cities identifies three main factors shaping these layouts: port-commercial nodes, changing dialect-group boundaries, and urban expansion and renewal. The findings indicate that the heritage value of Chinese native-place associations lies not only in individual buildings, but also in their role as an urban heritage system recording interactions among urban development, identity, and community organization over time in overseas Chinese society. Full article

Rapid cooperative detection of stationary targets by multiple unmanned aerial vehicles (UAVs) is important in time-critical missions such as search and rescue. However, the online coordination of probabilistic inference, distributed communication, and detection–motion decisions under local information remain challenging when targets exhibit spatial correlations that existing methods typically neglect. To address this challenge, we develop a distributed event-driven Bayesian search framework for stationary, spatially correlated targets at unknown locations. The framework couples three components. A pairwise spatial model and a distance-dependent Neyman–Pearson detector yield a Bayesian belief update whose unclipped product form is order-invariant to event-processing sequence. A distributed selective flooding algorithm propagates only positive detection events, achieving finite-time event-set consensus over connected graphs while avoiding full-map exchange. A decoupled detection–motion planner exhausts high-belief cells within each UAV’s field of view before selecting a waypoint that balances surrogate detection probability against travel cost, with responsibility regions dynamically renegotiated among neighbors when local high-value cells are depleted. In numerical experiments, the proposed method achieved zero uncoordinated repeat detection in all simulations and significantly reduced first-discovery coverage relative to static-partition and no-communication baselines, while adapted external baselines required 90-fold and 6-fold larger communication payloads and had nonzero repeat-detection rates. The framework thus occupies a specific tradeoff point of zero revisit, sparse communication, and early discovery gain in scenes where targets span multiple UAV search regions. Full article

Weekday commuting and weekend recreation are two mobility domains through which urban spatial structure affects residents’ daily experience and urban functioning. Although commuting and recreational mobility are theoretically related, whether their spatial relationship creates scope for coordinated improvement in both domains remains insufficiently understood. A preceding study in Chongqing identified a U-shaped relationship between weekday commuting costs and weekend recreational mobility costs at the individual level, but its proposed spatial-structural interpretation remained untested. This study examines whether the same relationship emerges across residential locations and whether the resulting mobility-cost structure corresponds to the spatial configuration of employment and recreational opportunities. Using location-based services data from the central urban area of Chongqing, individual mobility records were aggregated to residential grids and analysed through a three-stage framework examining the grid-level U-shaped relationship, multivariate dependence between the opportunity and cost structures, and their curve-based correspondence. The U-shaped relationship was reproduced at the grid level. The opportunity and cost structures exhibited multivariate dependence, and the curve-based analysis showed a positive correspondence between residential grids’ positions relative to the fitted opportunity and cost reference points. These findings support the interpretation that the U-shaped relationship partly reflects how residential locations are positioned relative to multiple employment centres and spatially distributed recreational destinations. The findings indicate that commuting and recreational mobility should be considered jointly in jobs–housing–recreation planning and suggest potential scope for coordinated improvement across both domains. Full article

The Shendong mining area, located in the transition zone between the northern Loess Plateau and the Mu Us Sandy Land, is a representative ecologically fragile region and desert coal base in China. Using Google Earth Engine (GEE) and Landsat imagery from 1999 to 2024, this study constructed a long-term remote sensing ecological index (RSEI) dataset and integrated the Theil–Sen median slope estimator, Mann–Kendall test, and Hurst exponent to examine the spatiotemporal evolution, future trajectories, and multi-stage driving mechanisms of eco-environmental quality (EEQ) at the mining-area and individual-mine scales. At the mining-area scale, RSEI showed pronounced interannual fluctuations and a weak downward trend, characterized by a two-stage, wave-like trajectory with a narrowing amplitude. The mean RSEI and standard deviation decreased from 0.5669 and 0.0855 during 1999–2010 to 0.5182 and 0.0501 during 2011–2024. Moderate and good grades predominated, with lower EEQ in the mining core and higher EEQ in peripheral buffer zones. Across 13 representative mines, ecological quality generally remained moderate but exhibited spatial and stage-dependent heterogeneity, with Liuta Mine showing the greatest variability. Slight degradation was the dominant trend, although local recovery occurred, and Hurst analysis revealed marked spatial differences in future trajectories. RSEI variations in the Shendong mining area exhibited pronounced spatial and stage-dependent associations with high-intensity mining, climatic water–heat conditions, topographic background, and ecological governance and restoration processes. No continuous and irreversible overall decline was observed; however, without an independent non-mining control, the findings represent integrated ecological responses within the mining area rather than causal estimates of mining’s net ecological effect. Full article

Armenia is located within the Arabia–Eurasia collision zone and is exposed to a significant seismic hazard associated with active fault systems capable of generating destructive earthquakes. The 1988 Spitak earthquake highlighted the vulnerability of Armenian urban areas and the need for reliable seismic risk assessment methods. This study presents the first harmonized scenario-based seismic risk assessment framework for six major Armenian cities by integrating seismotectonic source characterization, deterministic ground-motion modeling, locally derived Vs30-based site characterization, GIS-based exposure modeling, and vulnerability assessment within the ELER (Earthquake Loss Estimation Routine) platform. Vulnerability functions were adapted to Armenian building typologies and calibrated using observed damage from the 1988 Spitak earthquake. Deterministic earthquake scenarios (Mw 6.5–7.3) were developed based on the seismic potential of the country’s principal active fault systems. The results reveal substantial spatial variability in seismic risk controlled by differences in ground-motion intensity, local site conditions, building vulnerability, and population exposure. Masonry-dominated urban areas exhibit the highest relative structural losses, whereas Yerevan experiences the greatest absolute losses because of its large population and concentrated building stock. Severe damage and collapse (D4–D5) may affect more than 20–25% of buildings in the most vulnerable cities. Validation against observed 1988 earthquake damage demonstrates the applicability of the proposed framework for seismic risk reduction, emergency preparedness, and long-term urban resilience planning in Armenia. Full article

Traditional villages serve as the material carriers of traditional Chinese culture. Their cultural spaces, as concentrated reflections of rural humanistic spirit, face multiple crises, including the rupture of intergenerational transmission, functional decline, and spatial isolation. In mountainous counties, where the terrain is complex, resources are scattered, and locations are peripheral, the challenges of protecting and revitalizing cultural spaces are especially acute, yet holistic understanding at the county scale remains insufficient. Focusing on the 25 nationally listed traditional villages in Suichang County, Zhejiang Province, this study selected four representative villages as case studies: Hengkeng (steep-slope mountain), Caihe (gentle-slope hilly), Dushan (mountain-enclosed valley), and Changlian (river-valley plain). We established a comprehensive framework integrating a qualitative “text–space mutual corroboration” interpretation with space-syntax accessibility and isovist-based visibility analysis. The results demonstrate that cultural space nodes exhibit systematically higher accessibility and visibility than ordinary residences, and the coupling between the two dimensions differs sharply by type. Specifically, lineage culture spaces display high–high synergy; religious belief spaces show a low-accessibility–high-visibility mismatch; ritual education spaces occupy a moderate-accessibility–low-visibility position; meanwhile, basic livelihood and daily life spaces are accessibility-dominated. Furthermore, geographical type governs the coupling mode, shifting from linear mismatch on steep slopes, through axial synergy on gentle hills and centripetal aggregation in valleys, to axial serialization on plains. Based on these findings, four adaptive-reuse strategies are distilled. Complemented by a baseline information database and a prospective intelligent-evaluation framework, they provide transferable methodological guidance for planning and revitalizing the cultural spaces of traditional villages in mountainous counties. Full article

The Inner Mongolia Autonomous Region, located in northern China, spans a vast territory. It serves as a crucial transitional zone connecting three major ecosystems—forest, grassland, and desert—and constitutes an essential component of the nation’s ecological security barrier. Over the past three decades, significant changes have occurred in the region’s land use structure and landscape patterns. Based on long-term time-series land use data, this study systematically analyzed land cover changes and landscape diversity characteristics by dividing the region into climatic zones, ecological zones, and administrative areas. Additionally, a driver analysis framework based on the eXtreme Gradient Boosting (XGBoost) model was constructed, and the SHapley Additive exPlanations (SHAP) method was employed to quantitatively identify the contribution rates of driving factors influencing the Shannon Diversity Index (SHDI). Results indicate pronounced spatial heterogeneity in land-use structure dynamics across regions. Among all land use types, grasslands, croplands, and bare land exhibited the most pronounced changes under the combined influence of natural environmental variations and human disturbances. Against this backdrop of landscape pattern evolution, the regional Shannon Diversity Index (SHDI) also showed differentiated variation trends. Based on SHAP contribution analysis, population density (POP) was identified as the primary driver affecting SHDI changes, with a contribution rate of 29.9%, followed by precipitation (PRE, 19.5%), elevation (DEM, 17.2%), and GDP (11.9%). Further SHAP response analysis revealed the nonlinear effects and characteristics of different driving factors on SHDI, indicating that the proposed framework can effectively elucidate the driving mechanisms of landscape changes. The findings provide scientific support for developing sustainable and differentiated land-use management strategies and optimizing ecological conservation and restoration measures across regions with diverse ecological backgrounds. Full article