Search Results (102)

The research is grounded in the perspective of urban historical landscape (HUL), exploring the connections between cultural heritage and a broader urban context, as well as the general public and communities. It also focuses on small cultural heritage sites (SCHSs) in urban areas that have been overlooked in previous studies. By integrating various types of data, an assessment framework and methodology comprising six dimensions and 24 indicators were established and applied to the empirical research of 30 SCHSs in the Beijing section of the Grand Canal. The empirical research demonstrated the operability, effectiveness, and flexibility of the HUL assessment for SCHSs. The research findings are as follows. (1) The method provides differentiated recommendations for the formulation of tailored policies and planning management schemes based on heritage types, conservation levels, and the urban districts in which they are located. (2) The comprehensive quality of the open spaces where SCHSs are situated is critical for the cognition of the general public and community residents. (3) The overall conservation of the community areas containing SCHSs is highly significant, and the linkage between social development levels and cultural resources enhances public cognition of the SCHSs. (4) Cluster analysis offers guidance for the refined improvement of different SCHSs. The research aims to establish an action-oriented assessment framework, with a dimensional framework responding to the requirements of HULs and allowing for indicator flexibility. This study is significant for supporting the conservation and utilization of SCHSs in urban areas and for promoting their sustainable development. Full article

As research on national cultural parks advances, the significance of conducting multi-dimensional perception evaluations of their cultural ecosystem services (CESs) becomes increasingly apparent. This study examines the eight dimensions of CESs within the Grand Canal National Cultural Park from the perspective of soundscape preference. Using Tongzhou Grand Canal Forest Park as a case study, five categories of soundscapes comprising 19 sound sources were identified through the analysis of online textual data. This study then collected public preferences and perceptions of these five soundscapes via on-site questionnaires and analyzed the data using SPSS26 for correlation and IPA analyses. The results indicate that the overall evaluation of the park’s CESs is positive. There is a significant mutual influence between soundscape preference and CES perception. Specifically, the preference for natural soundscape significantly impacts the evaluation of each CES dimension, while satisfaction with leisure and entertainment is positively correlated with preferences for all types of soundscapes. Additionally, there are notable differences in soundscape preference among different age groups. These findings not only enhance our understanding of soundscape planning in national cultural parks but also provide valuable guidance for their management and design. Full article

The Grand Canal serves as a vital water transportation route, a UNESCO World Cultural Heritage site, and an ecological corridor. It is currently undergoing coordinated transformation through infrastructure development, heritage preservation, and ecological restoration. However, existing research has primarily focused on either cultural heritage conservation or localized ecological issues, with limited attention to the spatial relationship between landscape patterns and ecological quality along the entire corridor. To address this gap, this study examines eight sections of the Grand Canal and develops a gradient analysis framework based on equidistant buffer zones. The framework integrates the Remote Sensing Ecological Index (RSEI) with landscape pattern indices to assess ecological responses across spatial gradients. A Multi-scale Geographically Weighted Regression (MGWR) model is applied to reveal the spatially heterogeneous effects of landscape patterns on ecological quality. From 2013 to 2023, landscape patterns showed a trend toward increasing agglomeration and regularity. This is indicated by a rise in the Aggregation Index (AI) from 91.24 to 91.38 and declines in both patch density (PD) from 8.45 to 8.20 and Landscape Shape Index (LSI) from 199.74 to 196.72. During the same period, ecological quality slightly declined, with RSEI decreasing from 0.66 to 0.57. The effects of PD and Shannon’s Diversity Index (SHDI) on ecological quality varied across canal sections. In highly urbanized areas such as the Tonghui River, these indices were positively correlated with ecological quality, whereas in less urbanized areas like the Huitong River, negative correlations were observed. Overall, the strength of these correlations tended to weaken with increasing buffer distance. This study provides a scientific foundation for the integrated development of ecological protection and spatial planning along the Grand Canal and offers theoretical insights for the refined management of other major inland waterways. Full article

As a World Cultural Heritage site, the Beijing–Hangzhou Grand Canal is lined with historic and cultural cities that bear abundant historical and cultural connotations. It is of vital importance to address the issues of landscape homogenization, the disconnect between conservation measures and public needs, and other related challenges in the development of these cities. This study adopts a mixed-methods approach combining qualitative and quantitative research. By integrating subjective landscape evaluation with eye tracking analysis, the ancient city of Taierzhuang along the Beijing–Hangzhou Grand Canal was selected as the research subject to conduct an in-depth investigation into the visual experience and preferences for different types of landscapes in this area. The study yielded the following findings: There are significant differences in visual experiences among various types of landscapes in Taierzhuang Ancient City. Among them, participants exhibited the highest level of attention toward canal landscapes and the lowest toward heritage site landscapes. In terms of visual distribution differences, eye tracking heatmaps revealed that attention was primarily concentrated on architectural structures and water surface reflections. In the subjective evaluation analysis, canal cultural landscapes received the highest comprehensive score (4.39 points), followed by historical architectural landscapes (4.02 points), historical street landscapes (3.93 points), modern commemorative landscapes (3.72 points), and heritage site landscapes (3.69 points). Additionally, a significant correlation was found between eye tracking data and subjective evaluation results, validating the scientifically effective relationship between subjective assessments of historical cultural landscapes and eye tracking analysis. The findings of this study not only provide a scientific basis for landscape improvement and optimization in other canal-related historical and cultural cities but also offer new research methods and perspectives for the protection and development of other heritage landscapes. Full article

As a crucial component of the Beijing–Hangzhou Grand Canal’s hydraulic engineering, the Jiangnan Canal has historically played a pivotal role in China’s development as a key hydraulic infrastructure. This water conservancy project, connecting northern and southern water systems, not only facilitated regional economic integration but also nurtured unique cultural landscapes along its course. The Jiangnan Canal and its adjacent cities were selected as the study area to systematically investigate 334 tangible cultural heritage (TCH) sites and 420 intangible cultural heritage (ICH) elements. Through integrated Geographical Information System (GIS) spatial analyses—encompassing nearest neighbor index, kernel density estimation, standard deviation ellipse assessment, multi-ring buffer zoning, and Geodetector modeling, the spatiotemporal distribution features of cultural heritage were quantitatively characterized, with a focus on identifying the underlying driving factors shaping its spatial configuration. The analysis yields four main findings: (1) both TCH and ICH exhibit significant spatial clustering patterns across historical periods, with TCH distribution displaying an axis-core structure centered on the canal, whereas ICH evolved from dispersed to clustered configurations. (2) The center of gravity of TCH is primarily around Taihu Lake, while that of ICH is mainly on the south side of Taihu Lake, and the direction of distribution of both is consistent with the direction of the canal. (3) Multi-ring buffer analysis indicates that 77.2% of TCH and 49.8% of ICH clusters are concentrated within 0–10 km of the canal, demonstrating distinct spatial patterns: TCH exhibits a gradual canal-dependent density decrease with distance, whereas ICH reveals multifactorial spatial dynamics. (4) Human activity factors, particularly nighttime light intensity, are identified as predominant drivers of heritage distribution patterns, with natural environmental factors exerting comparatively weaker influence. These findings provide empirical support for developing differentiated conservation strategies for canal-related cultural heritage. The methodology offers replicable frameworks for analyzing heritage corridors in complex historical landscapes, contributing to both applied conservation practices and theoretical advancements in cultural geography. Full article

Scientific route selection is the premise of constructing the Grand Canal National Trails (GCNTs). How to highlight the historical and cultural characteristics of the cities along the Grand Canal and meet the diverse needs of urban residents and tourists through GCNTs while considering the reality is an important goal of the route selection research. Taking the old town of Jining City as an example, this study proposes a theoretical framework for route selection of the GCNTs based on resource connectivity, spatial continuity, and residents’ promotion, with a realization path of “three sections and six steps”. The results show that the optimal connection path between “canal–resource–community” can be found through systematic methods such as the optimized minimum cumulative resistance (MCR) model and space syntax, and the “main route–branch route–connection route” system of the GCNTs can be constructed. The GCNTs closely connect the canals, 59 resources, and 352 communities into an integral spatial network, forming a complete canal cultural narrative system and path. The results offer theoretical and methodological support for the route selection of GCNTs in 35 prefecture-level cities and 150 districts and counties along the Grand Canal, providing reference for route selections of similar related concepts in central urban areas. Full article

Historically, the Wei River has served as part of the Yongji Canal section of the Grand Canal, playing a crucial role in connecting northern and southern China. However, with the acceleration of urbanization in China, issues such as excessive land development and ecological landscape fragmentation have emerged. Exploring the mechanisms of landscape fragmentation evolution in the Wei River basin and proposing optimization strategies is of significant importance for land use and ecological stability within small- to medium-sized river basins. This study selected land use data from the Weihe River basin between 2000 and 2020, using landscape pattern indices to analyze the trend of landscape fragmentation. The principal component analysis (PCA) and geographical detector methods were employed to explore the distribution characteristics and driving factors of landscape fragmentation. The research results indicate that: (1) The degree of landscape fragmentation in the Wei River basin has progressively intensified over time. The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. The findings explore the mechanisms of landscape fragmentation in the basin and provide a reference for land use planning and ecological restoration in the region. Full article

This study investigates the possible socio-economic impacts of Hyperloop technology on establishing and reshaping EU trade routes. Hyperloop—a novel ultra-high-speed transportation system—demonstrates the capability to achieve supersonic speeds to move cargo and passengers. Delivering goods in a faster and sustainable way could change the existing trade routes and offer new opportunities for the development of international trade. This research focuses on assessing how Hyperloop may influence existing EU trade routes by improving delivery times and reducing energy usage/carbon emissions (these terms will be used interchangeably throughout the paper where both reducing long-terms costs and meeting climate goals are equally impacted by this technology). Further objectives include evaluating potential new trade routes that could emerge due to Hyperloop’s capabilities. In this paper, twelve different scenarios are constructed and compared; these scenarios contain the description of current EU trade routes that could be influenced by Hyperloop and those that could be introduced given the improved delivery times and sustainable business opportunities. The gravity model is proposed and an equation is estimated using the PPML (Poisson Pseudo Maximum Likelihood) method based on Eurostat and IMF open data. Based on the research results, different socio-economic outcomes for different layers of EU trade, including negative and positive impacts, are identified. The findings suggest that deploying Hyperloop technology would result in a 15% increase in exports and a 10% increase in imports for European trade. Both positive and negative socio-economic impacts are identified, highlighting the complexities of adopting such a disruptive technology. The research results could be used in the process of decision-making for estimating risks and performing economic analysis on various aspects of the EU trade policy. The study results could also guide EU decision-makers in assessing the main impacts of Hyperloop technology on the transportation industry, on the environment, and on society, in the context of further developing EU trade routes. Full article

(1) Background: Identifying ecological security patterns and restoring the Beijing-Hangzhou Grand Canal in Shandong is vital for future ecological conservation and maintaining ecosystem sustainability. (2) Methods: The study area was selected, and the InVEST3.9.0 model was used to assess natural-environment ecosystem services. An optimal evaluation approach based on the Minimum Cumulative Resistance model was developed to define the ecological security pattern. (3) Results: There were 20 ecological source areas in the lower and east portions of the study area, mainly grasslands, forests, and water areas. Additionally, 40 ecological corridors, 48 ecological pinch points, and 75 ecological barrier points were generated, densely distributed in the east. The area was divided into five core functional zones. (4) Conclusions: Establishing ecological function zones and considering landscape changes from high-frequency human activities in spatial planning can lead to a more reasonable division of ecological restoration areas. Ecological function zone construction can enhance understanding of implementing ecological security patterns in national land planning and support national ecological security goals. Full article

As an important type of linear cultural heritage and a waterfront landscape that integrates both artificial and natural elements, heritage canals provide the public with a multidimensional perceptual experience encompassing aesthetics, culture, and nature. There remains a lack of refined, micro-level studies on heritage canal landscapes from a multidimensional perspective of visual preference. This study focuses on a typical segment of the Grand Canal in China, specifically the ancient canal section in Yangzhou. We employed SegFormer image semantic segmentation techniques to interpret features from 150 panoramic images, quantitatively identifying the waterfront environmental characteristics of the heritage canal. Four perceptual dimensions were constructed: aesthetic preference, cultural preference, natural preference, and hydrophilic preference. Through a questionnaire survey and various statistical analyses, we revealed the relationships between visual preferences for the waterfront landscape of heritage canals and environmental characteristics. The main findings of the study include the following: (1) Aesthetic preference is positively correlated with cultural, natural, and hydrophilic preferences, while natural preference shows a negative correlation with cultural and hydrophilic preferences. (2) Aesthetic preference is influenced by a combination of blue-green natural elements and artificial factors. Natural preference is primarily affected by increased vegetation visibility, cultural preference is associated with a higher proportion of cultural facilities and high-quality pavements, and hydrophilic preference is linked to larger water surface areas, fewer barriers, and better water quality. (3) There are spatial differences in canal waterfront landscape preferences across different urban areas, with the old city exhibiting higher aesthetic, cultural, and hydrophilic preferences than the new city and suburban areas. Finally, this study proposes strategies for optimising and enhancing the quality of waterfront landscapes of heritage canals, aiming to provide sustainable practical guidance for the future planning and management of these heritage sites. Full article

Hangzhou was the political and economic center of the Southern Song Dynasty (1127–1279 AD) and also the southern end of the Beijing-Hangzhou Grand Canal during the Ming and Qing Dynasties (1368–1644 AD). This historical position allowed the city’s economy to develop rapidly and influenced the form of its polychrome paintings with the imperial official style of the north China. However, due to the high temperature and rainy natural preservation conditions, southern polychrome paintings have always been a weak link in Chinese architectural polychrome painting craftsmanship. This study focuses on two well-preserved official-style architectural polychrome paintings in the grand halls from the late Qing period in Hangzhou. Through multi-techniques such as optical microscopy (OM), scanning electron microprobe with energy dispersive X-ray spectroscopy analysis (SEM-EDX), micro-Raman spectroscopy, micro-Fourier Transform Infrared spectroscopy (μ-FTIR), and pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS), it was found that there is a significant difference from the reported common non-ground architectural paintings in the south, typically having four-layer structures with a white base and ground plaster layer in preparation for painting. The appearance of pigments such as artificial ultramarine (Na₆Al₄Si₆S₄O₂₀) and emerald green (Cu(C₂H₃O₂)₂·3Cu(AsO₂)₂) indicates that the paintings were made at least after the 1830s, and the use of malachite green dye and copper phthalocyanine blue (PB 15:X) suggests that unrecorded restorations were also performed after the 20th century. All samples are coated with a layer of alkyd resin, which may have been added during the repairs in the latter half of the 20th century, leading to the black discoloration of the present paintings, especially in areas where emerald green was used. This study provides an important case for the study of the official style of polychrome painting craftsmanship in the southern region of China and also offers important references for the future protection and restoration of traditional architectural polychrome painting. Full article

Vessel traffic is an important source of global greenhouse gas emissions. The carbon emissions from ships in the canal network are directly linked to the environmental performance of China’s inland waterway transportation, contributing to the achievement of global carbon reduction goals. Therefore, systematically assessing the carbon emission reduction levels of ships in canal networks is essential to provide a robust foundation for developing more scientific and feasible emission reduction strategies. To address the limitations of current evaluations—which often focus on a single dimension and lack an objective, quantitative representation of the mechanisms driving carbon emission and their synergistic effects—this study took a comprehensive approach. First, considering the factors influencing ship carbon emissions and emission reduction strategies, an evaluation index system was developed. This system included 6 first-level indexes and 22 s-level indexes, covering aspects such as energy utilization, technical equipment, and economic benefits. Second, a novel combination of methods was used to construct an evaluation model. Qualitative weights, determined through the interval binary semantic method, were integrated with quantitative weights calculated using the CRITIC method. These were then combined and assigned using a game-theory-based comprehensive assignment method. The resulting evaluation model, built upon the theory of matter-element topology, represents a significant methodological innovation. Finally, the evaluation method was applied to the empirical analysis of ships operating in Jiangsu section of the Beijing–Hangzhou Grand Canal. This application demonstrated the model’s specificity and feasibility. The study’s findings provide valuable insights for improving carbon emission reduction levels for inland ships and advancing the sustainable development of the shipping industry. Full article

Recently, frequent water shortages and reductions in water flow have been observed in the northern segment of the Yellow River within the Beijing–Hangzhou Grand Canal. In response, a water replenishment program has been initiated. This study is focused on the section of the Grand Canal north of the Yellow River and uses the GSFLOW model to examine interaction between surface water and groundwater, as well as the effect of water replenishment. The results indicate that, after the water replenishment, the efficiency of water replenishment was highest in the Xiao Canal (64.30%), followed by the Wei Canal (39.09%), the South Canal (12.11%), and the North Canal, which exhibited the lowest efficiency (5.75%). This variation can be attributed to greater water loss with increasing distance from the replenishment source, leading to lower replenishment efficiency. Surface water recharge to groundwater was extended by 32 days, with replenishment effects persisting even after the water supply ceased. The maximum influence distance on either side of the canal reached 5.73 km, with an average impact distance of 1.48 km, resulting in a total affected area of 974.7 km², accounting for 2.2% of the study area. Water replenishment positively influenced the recovery of groundwater levels along the Grand Canal. Full article

The accurate prediction of total phosphorus (TP) is crucial for the early detection of water quality eutrophication. However, predicting TP concentrations among canal sites is challenging due to their complex spatiotemporal dependencies. To address this issue, this study proposes a GAT-Informer prediction method based on spatiotemporal correlations to predict TP concentrations in the Beijing–Hangzhou Grand Canal Basin in Changzhou City. The method begins by creating feature sequences for each site based on the time lag relationship of total phosphorus concentration between sites. It then constructs spatiotemporal graph data by combining the real river distance between sites and the correlation of feature sequences. Next, spatial features are extracted by fusing node features using the graph attention (GAT) module. The study employs the Informer network, which uses a sparse attention mechanism to extract temporal features efficiently for simulating and predicting total phosphorus data of the sites. The model was evaluated using R², MAE, and RMSE, with the experimental results yielding values of 0.9619, 0.1489%, and 0.1999%, respectively. The GAT-Informer model exhibits enhanced robustness and superior predictive accuracy in comparison to traditional water quality prediction models. Full article

The Grand Canal, the world’s longest artificial waterway, is a cultural treasure deeply embedded in China’s historical traditions. This study emphasizes the importance of safeguarding, preserving, and revitalizing this invaluable heritage to ensure its relevance. Guided by the “Regulations on the Protection and Management of the Grand Canal Heritage”, this research analyzed 276 cultural relics protection units within the Jiangsu section of the Beijing-Hangzhou Grand Canal (Jiangsu-BHGC). By applying spatial geographic analysis techniques, including point density analysis and gravity shift models, the study mapped the historical evolution, spatial distribution, and typological characteristics of these relics. Additionally, using ArcGIS and geographic detectors, the research explored factors influencing the distribution of these units, pinpointing critical determinants. This rigorous approach provides an in-depth understanding of the spatial arrangement of cultural heritage sites along the canal, supporting its coordinated development. By examining distribution patterns and key attributes, the study offers theoretical insights and data-driven guidance for optimizing the sustainable use of this cultural heritage. Full article