Search Results (108)

The spatial genes of rural settlements show a lot of different traditional settlement traits, which makes them a great starting point for studying rural spatial morphology. However, qualitative and macro-regional statistical indicators are usually used to find and extract rural settlement spatial genes. Taking Yubei Village in the Nanxi River Basin as an example, this study combined remote sensing images, real-time drone mapping, GIS (geographic information system), and space syntax, extracted 12 key indicators from five dimensions (landform and water features (environment), boundary morphology, spatial structure, street scale, and building scale), and quantitatively “decoded” the spatial genes of the settlement. The results showed that (1) the settlement is a “three mountains and one water” pattern, with cultivated land accounting for 37.4% and forest land accounting for 34.3% of the area within the 500 m buffer zone, while the landscape spatial diversity index (LSDI) is 0.708. (2) The boundary morphology is compact and agglomerated, and locally complex but overall orderly, with an aspect ratio of 1.04, a comprehensive morphological index of 1.53, and a comprehensive fractal dimension of 1.31. (3) The settlement is a “clan core–radial lane” network: the global integration degree of the axis to the holy hall is the highest (0.707), and the local integration degree R3 peak of the six-room ancestral hall reaches 2.255. Most lane widths are concentrated between 1.2 and 2.8 m, and the eaves are mostly higher than 4 m, forming a typical “narrow lanes and high houses” water town streetscape. (4) The architectural style is a combination of black bricks and gray tiles, gable roofs and horsehead walls, and “I”-shaped planes (63.95%). This study ultimately constructed a settlement space gene map and digital library, providing a replicable quantitative process for the diagnosis of Jiangnan water town settlements and heritage protection planning. Full article

The equitable allocation of clean energy access across towns–rural divides is a critical benchmark of modernization in developing economies. This is because it is intricately linked to the realization of strategic goals such as shared prosperity, ecological civilization advancement, and national energy security reinforcement. This research examines the impact of China’s digital village (DV) construction in reducing the urban–rural disparity in household clean energy access, evaluates the effect on towns–rural clean energy consumption inequality (CEI), explores the mediating mechanisms, and considers regional heterogeneity. It is an innovative approach to test the influence of digital village construction on clean energy consumption inequality between urban and rural areas, beyond which conventional research is limited to infrastructure investment and policy considerations. We can reach the following three results: (1) With the continuous improvement of digital village construction, CEI between towns and rural areas shows an “inverted U-shaped” change. (2) From the perspective of the intermediary mechanism, agricultural technological progress (ATP) and industrial structure upgrading (IND) can facilitate digital village construction and reduce the disparity in clean energy consumption between towns and rural regions. (3) From the perspective of heterogeneity analysis, digital village construction in areas with low urbanization levels, high terrain undulation, and non-clean energy demonstration provinces can significantly alleviate CEI. It is on this basis that the present paper proposes a policy recommendation for the Chinese government to effectively reduce the gap between towns and rural clean energy consumption in the process of digital village construction. Full article

Data scarcity hampers the implementation of circular economy (CE) in rural historical small towns (HSTs) where traditional agricultural practices persist outside formal monitoring systems. In this regard, this study proposes and tests an estimation framework to quantify agricultural waste flows and energy recovery potential. The methodology combines waste generation coefficients from peer-reviewed literature with administrative data to generate actionable CE assessments. Application to four Sicilian HSTs within the Local Action Group (LAG) “Terre dell’Etna e dell’Alcantara” exhibits substantial waste generation potential despite their small size. The agricultural enterprises generate an estimated 6930–7130 tons of annual agricultural waste under moderate production scenarios, comprising grape pomace (3250 tons), pruning residues (3030 tons), and mixed processing wastes (650–850 tons). The energy recovery potential ranges from 20–30 TJ through direct combustion to 4.9–8.1 TJ via anaerobic digestion. Sensitivity analysis indicates balanced contributions from all three key parameters (enterprise density, yields, and waste coefficients), each accounting for 31–35% of output variance. The framework provides resource-constrained municipalities with a cost-effective tool for preliminary CE assessment, enabling identification of priority interventions without expensive primary data collection. From a managerial perspective, local administrators can leverage this tool to transform routine administrative data into actionable CE strategies. Full article

The northern foothills of the Qinling Mountains, a critical ecological barrier and urban–rural transition zone in China, face intensifying rainstorm–flood disasters under climate extremes and rapid urbanization. This study pioneers a remote sensing-driven, dynamically coupled framework by integrating multi-source satellite data, system resilience theory, and spatial modeling to develop a novel “risk identification–resilience assessment–scenario simulation” chain. This framework quantitatively evaluates the nonlinear response mechanisms of town–village systems to flood disasters, emphasizing the synergistic effects of spatial scale, morphology, and functional organization. The proposed framework uniquely integrates three innovative modules: (1) a hybrid risk identification engine combining normalized difference vegetation index (NDVI) temporal anomaly detection and spatiotemporal hotspot analysis; (2) a morpho-functional resilience quantification model featuring a newly developed spatial morphological resilience index (SMRI) that synergizes landscape compactness, land-use diversity, and ecological connectivity through the entropy-weighted analytic hierarchy process (AHP); and (3) a dynamic scenario simulator embedding rainfall projections into a coupled hydrodynamic model. Key advancements over existing methods include the multi-temporal SMRI and the introduction of a nonlinear threshold response function to quantify “safe-fail” adaptation capacities. Scenario simulations reveal a reduction in flood losses under ecological priority strategies, outperforming conventional engineering-based solutions by resilience gain. The proposed zoning strategy prioritizing ecological restoration, infrastructure hardening, and community-based resilience units provides a scalable framework for disaster-adaptive spatial planning, underpinned by remote sensing-driven dynamic risk mapping. This work advances the application of satellite-aided geospatial analytics in balancing ecological security and socioeconomic resilience across complex terrains. Full article

There are considerable debates about the impact of rural residential land consolidation (RRLC) on villagers. Rather than engaging in the ongoing debates of either/or choices again, this article intends to analyze the mechanisms by which RRLC benefits villagers in a specific time and location. Using L town as an example, this article demonstrates that the mechanisms by which RRLC works are dependent on the adaptive property rights functions of rural residential land (RRL), which emerged from the spontaneous and endogenous interactions among actors. Functional adjustment and substitution reconfigure the property rights functions to balance the interests of various actors. The supportive partnerships between actors make the reconfiguration process implementable, as well as ensuring that the pre-existing property rights functions and the desired functions of the various actors can be considered. The findings may provide a new perspective on evaluating RRLC and the reform of property rights, as well as valuable insights on improving the performance of government interventions. Full article

Conducting research on the evaluation of rural resilience and risk governance strategies in the middle reaches of the Heihe River can provide a scientific basis for the sustainable development of rural areas in the inland river basins of arid regions. Affected by water resource constraints, the expansion of artificial oases, and excessive exploitation of groundwater, the rural areas in the middle reaches of the Heihe River Basin, the second largest inland river in the arid region of northwest China, are confronted with prominent contradictions in the human-land relationship and urgently need to enhance their ability to cope with risks. Based on the remote sensing data of land use and major socio-economic data, this study draws on the theory of landscape ecology to construct a disturbance-resistance-adaptability evaluation system. Taking Ganzhou District, a typical irrigated agricultural area, as a case study, the study uses the entropy weight method, resilience change rate, and obstacle degree model to analyze the rural resilience level and its changing characteristics from 1990 to 2020, identifies the key obstacle factors affecting the development of rural resilience, and proposes risk governance strategies accordingly. Main conclusions: (1) The overall rural resilience index is relatively low, showing significant spatial disparities. Towns with well-developed multifunctional agriculture, nature reserves, and ecological-cultural control lines have higher resilience indices. (2) The change rate of the rural resilience index demonstrates phase heterogeneity, generally undergoing a “relative stability-increase-decrease” process, and forming a differentiation pattern of “decrease in the north and increase in the south”. (3) Internal risks to rural resilience development in the Ganzhou District mainly stem from low economic efficiency, fragile ecological environment, and unstable landscape patterns, among which efficiency-dominant and landscape-stability obstacle factors have a broader impact scope, while habitat resistance-type obstacle factors are mainly concentrated in the western part and suburban areas. Enhancing the benefits of water and soil resource utilization, strengthening habitat resistance, and stabilizing landscape patterns are key strategies for current-stage rural resilience governance in the middle reaches of the Heihe River. This study aims to optimize the human-land relationship in the rural areas of the middle reaches of the Heihe River. Full article

In the European Green Deal and Renovation Wave framework, cities should be more self-sufficient and sustainable, promoting investment in the regeneration and maintenance of the built and natural heritage. The New European Bauhaus reinforces this vision, promoting the value of beauty as a product of environmental harmony/sustainability and participation. Many cities are already working to improve infrastructure and public services, with the aim of creating better socio-economic and environmental conditions in urbanised areas. At the same time, they aim to increase and relocate attractiveness and competitiveness to less densified rural areas, and to reduce overcrowding problems in cities. The aim is to propose a virtuous model of circular regeneration, by identifying virtuous strategies of the regeneration of rural villages capable of aligning the transformation of the built environment with climate objectives, social cohesion and local economy strengthening, and the integration of historical and identity values. Rural villages in marginal areas are left behind places. They require new economic development strategies, grounded in a circular bio-economy model for reducing/avoiding spiraled down processes. The application of European evaluation criteria to the main topic literature background allowed for the construction of a virtuous practices observatory about regenerated rural villages, which is elaborated using registry, systemic, and analytical/analysis forms. From the ex-post evaluation analysis of the case studies, it was possible to identify a number of dimensions/clusters in which investment is being made today for the regeneration of rural villages. By reasoning on the investment clusters, it was possible to identify a circular regeneration model for rural villages, transferable to other realities in order to implement the broader vision of circular settlement development. The “Rural Village Regeneration Model” represents an operational tool for regional transformation, suitable for reactivating lost connections between rural villages and larger towns in functional areas, characterised by greater self-sufficiency and exploration of the potential of digital tools to improve services, connections, infrastructure, and cooperation. Full article

This study employs various comprehensive research methods to thoroughly analyze the relationship between urban–rural integration and sustainable development, proposing corresponding optimization pathways. First, a literature review method systematically examines existing theories on urban–rural integration and sustainable development. Then, it identifies the main problems and challenges in the current process of urban–rural integration, thereby laying a theoretical foundation for the study. Second, a case study approach is adopted, selecting Caoqiao Village in Fengtai District, Zhenggezhuang Village in Changping District, and Xihoujie Village in Majuqiao Town, Tongzhou District of Beijing, as typical cases. These cases are analyzed in depth to explore their implementation outcomes and validate the practical results of different development pathways. Subsequently, based on specific data from Beijing’s urban–rural fringe, this study utilizes data analysis methods to conduct an in-depth examination of land use changes, ecological environment status, and influencing factors, with a focus on analyzing relevant data from 2009 to 2023. This analysis reveals the dynamic relationship between urban–rural integration and sustainable development. Regression analysis is adopted to quantify the effect of urban–rural integration on sustainable development, thus exploring the correlation between urban–rural integration, spatial planning, economic development, financial development, and sustainable development. Finally, targeted management recommendations and policy optimization plans are proposed based on the principles of ecological protection red lines and urban development boundaries. The results indicate a significant positive correlation between urban–rural integration and sustainable development levels, with a regression coefficient of 0.48, demonstrating its role in promoting sustainable development. The levels of spatial planning and economic development also positively affect sustainable development, with coefficients of 0.32 and 0.27, respectively. Moreover, financial development and social investment levels show a certain positive relationship. It is noteworthy that although the correlation between foreign trade and sustainable development levels is the lowest, the interconnections between other variables further emphasize the key position of urban–rural integration in overall sustainable development. This study offers a theoretical basis and empirical support for spatial planning in the urban–rural fringe of Beijing, ecological environment protection, and scientific policy formulation, thus advancing sustainable urban development. Full article

During recent years, a lot of attention has been given to economic and demographic trends in different rural areas. Considering this, the main aim of the present work is answering the following research question: Can a robust resilience of small towns and villages (also called Borghi, in Italian), bolstered by powerful planning and financial force through the NRRP, reverse the abandonment process? Our case study refers to Italy. In physics, resilience refers to the ability of a system to recover shape and balance after some form of turbulence. Applied to regional and urban development, this term is generally construed as the ability of a system to respond to changes that occur at different territorial scales. Beyond the interpretative differences, the potential of the concept of resilience for the analysis of the economic growth dynamics of the territories remains significant. The initial findings of this work reveal how the interventions in marginalised areas have failed to correspond to the intended ’territoriality’, thus compromising their effectiveness. Full article

Island ecology plays an important role in explaining various ecological and evolutionary processes. Small, isolated oceanic islands, exemplified by the Azores Archipelago, are especially vulnerable to adverse environmental conditions and human impact. The study aims to evaluate the impact of urbanization, especially the urban greening space, on the structure and dynamics of avian communities associated with various landforms in an urbanized landscape in one of the nine islands of the Azores Archipelago, São Miguel Island, in the northeast Atlantic Ocean. Samples were collected in the second half of April 2024. The line transect method (43 transects with a total of 37.4 km) was employed to count all bird species breeding in different landforms distinguished in the city: coastal land, urbanized land, rural land, and urban greening space. The obtained results showed that the number of breeding species was much higher in urban greening spaces (n = 20) than in the other lands (n = 10–14 species). Both cumulative dominance and dominance indices were much lower in urban greening space than in the other landforms. The Sørensen Index of Similarity between the four main land categories distinguished in the city varied between 0.62 and 0.96, being the lowest between the coastal and urban greening space, and the highest between the urbanized and rural lands. Two main feeding guilds were distinguished in the study area: granivores and insectivores. The former guild clearly dominated over the latter in all major land categories distinguished. Clearly, the proportion of granivores increased with urbanization. Also, two nesting guilds were distinguished: buildings and trees/shrubs. The former was dominant in all land categories except for the urban greening space where the tree/shrub nesting guild was more numerous than the building guild. The tree/shrub guild declined with urbanization. A general trend was recorded: the higher the level of urbanization, the lower the percentage of urban greening space, and in consequence, the lower the number of bird species and diversity indices, but the higher the cumulative dominance and dominance indices. The overall density of birds remains, however, distinctively similar. In the future, data on the population densities and dominance of particular species should be collected in urbanized landforms in other towns of the Azores Archipelago and Macaronesia at large. Full article

In the face of external shocks from urbanization and the inherent needs of economic development, it is essential for urban and rural heritage to adapt timely to achieve sustainability in development. Employing Historic Urban Landscape (HUL) methodologies for change management holds significant implications for the sustainable preservation and utilization of heritage. This study used Dongxi Ancient Town as a case study, characterized by a distinct evolutionary trajectory and diverse layers of accumulation throughout its historical progression, making it an exemplary instance for change analysis. This paper analyzed the processes and outcomes of historic urban landscape changes through a layered historical approach. Combining historical data translation methods with ArcGIS spatial analysis, we documented and mapped the cultural and natural characteristics of Dongxi Ancient Town. The layered process of the town’s historical landscape was categorized into four stages: the primary formative period from the Western Han to the Ming dynasties, the rapid development during the Qing dynasty, the prosperous period of the Republic of China, and the transitional expansion period following the establishment of the People’s Republic of China. The study analyzed the morphological changes and values of the historical landscape throughout these periods. Based on the analysis results, we suggest three transformation management strategies for historical landscapes oriented towards economic development: (1) converting cultural heritage into cultural assets, (2) implementing moderate and controlled quantitative changes, and (3) enhancing operational feasibility through collaborative efforts among multiple stakeholders. These strategies aim to establish a sustainable model that balances heritage conservation with economic growth. Full article

Understanding the spatial morphological characteristics and driving factors of rural settlements in ethnic minority areas is crucial for the conservation and tourism development of ethnic villages. Accordingly, this study employs Shuanglang Town, China as a case study, adopting an integrated approach that combines spatial syntax analysis, the optimal parameter geodetector model, and GIS spatial analysis techniques. This comprehensive methodology systematically investigates the spatial morphological features, differentiation characteristics, and influencing factors of ethnic villages. The findings reveal the logical lineage and formation mechanisms underlying the overall layout, street network, and public spaces of the villages. Specifically, the results demonstrate (1) a discernible gradation in spatial configurations, transitioning from compact “back mountain villages” in the northeast to more dispersed “seaside villages” in the southwest, with notable disparities in accessibility among different villages; (2) topography, water distribution, and water quality as the dominant factors shaping village spatial patterns; (3) the interactive and heterogeneous effects of multiple natural and anthropogenic factors, including topography, water resources, agricultural practices, and ethnic cultural traditions, significantly influencing the spatial morphology of villages; and (4) common principles governing the site selection of different ethnic village typologies, reflecting the villagers’ understanding and intelligent utilization of the natural environment. This study contributes to comprehending the spatial characteristics of rural settlements in ethnic minority areas and provides a theoretical and practical foundation for advancing analogous rural revitalization initiatives. The findings offer insights into the spatial logic and formation processes of ethnic villages, informing conservation efforts and sustainable tourism development strategies. Full article

The rapid urbanization process has brought about the shrinkage of rural space as a typical issue. Nevertheless, due to the dearth of effective assessment approaches, the patterns of rural spatial shrinkage remain poorly grasped. This study intends to establish a quantitative assessment model to scientifically disclose the spatiotemporal characteristics and mechanisms of rural spatial shrinkage. The “Population-Industry-Function-Land” (PIFL) assessment model has been rigorously constructed, encompassing eight assessment indices, such as the ratio of permanent residents, rural population density, and the rate of abandoned cultivated land. The model was adopted to conduct an analysis of the spatial shrinkage scenarios of the 18 administrative villages in Panxi Town spanning from 2011 to 2021. The results indicate that the temporal dimension of rural spatial shrinkage exhibits an accelerating trend, with discernible declines or increases in the ratio of permanent residents, rate of the elderly labor force, and housing vacancy rate. The shrinkage of rural spaces displays spatial heterogeneity, with more pronounced shrinkage characteristics observed in villages located further from the central town. According to the comprehensive shrinkage index, the villages are categorized into four types: relative shrinkage (0.2447 ≤ Z ≤ 0.2462), mild shrinkage (0.2463 ≤ Z ≤ 0.4423), moderate shrinkage (0.4424 ≤ Z ≤ 0.6125), and severe shrinkage (0.6126 ≤ Z ≤ 0.7988). The research findings possess significant reference value for the governance of rural spatial shrinkage. Full article

The tropospheric production of O₃ is complex, depending on nitrogen oxides (NO_x = NO + NO₂), volatile organic compounds (VOCs), and solar radiation. We present a case study showing that the O₃ concentration is higher in a rural area, 14 km downwind from a coastal town in Central Italy, compared with the urban environment. The hypothesis is that the O₃ measured inland results from the photochemical processes occuring in air masses originating at the urban site, which is richer in NO_x emissions, during their transport inland.To demonstrate this hypothesis, a feed forward neural network (FFNN) is used to model the O₃ measured at the rural site, comparing the modeled O₃ and the measured O₃ in different scenarios, which include both input parameters related to local O₃ production by photochemistry and input parameters associated with regional transport of O₃ precursors. The simulation results show that the local NO_x concentration is not a good input to model the observed O₃ (R = 0.17); on the contrary including the wind speed and direction as input of the FFNN model, the modelled O₃ is well correlated with that measured O₃ (R = 0.82). Full article

With the advancement of urbanization and the continuous deepening of reforms in urban–rural systems, China’s urbanization process has entered a new era of integrated urban–rural integration. Currently, as a global “new green revolution” gains momentum, numerous countries are deeply integrating the concept of sustainable development into new urban planning. Against this backdrop, urban planners worldwide are committed to building green, livable, and smart cities that can meet the needs of the present generation without compromising the ability of future generations to meet their needs, thus achieving the vision of harmonious coexistence between humanity and nature. Characteristic towns, leveraging their resource advantages, play a significant role in achieving sustainable regional economic development. They serve as valuable references for China’s urban transformation and upgrading, as well as for promoting rural urbanization, and are crucial avenues for advancing China’s urban–rural integration development strategy. The evaluation of the development level of characteristic towns is a necessary step in their progress and a strong guarantee for promoting their construction and development. Therefore, effectively evaluating the social benefits of characteristic towns is paramount. This study constructs an evaluation model based on the grey rough set theory and Technique for Order Preference by Similarity to Ideal Solution of TOPSIS. Firstly, an evaluation index system for the development level of characteristic towns is established. Then, the grey relational analysis method and rough set theory are used to reduce the index attributes, while the conditional information entropy theory is introduced to determine the weights of the reduced indicators. Finally, the TOPSIS model is applied to evaluate the development level of characteristic towns. Through empirical research, eight characteristic towns in Zhejiang Province, China, were assessed and ranked, verifying the effectiveness and feasibility of the proposed model. Full article