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The spatial correlation of carbon emissions is important for resource allocation optimization, environmental governance and policy formulation, but the study of the spatial correlation structure of urban agglomeration under the perspective of carbon sink potential has not yet been explored in depth. Based on the data of 41 cities in the Yangtze River Delta (YRD), a spatial correlation network of carbon emissions in YRD is constructed by combining the modified gravity model with the carbon ecological carrying capacity coefficient (CECC). The temporal and spatial evolution of the spatial correlation network structure of carbon emissions from the perspective of carbon sink potential and its driving factors are analyzed by using social network analysis and geographic detector. The results show that: in spatial, the carbon ecological carrying capacity of the YRD urban agglomeration has the Shanghai metropolitan area as the center of low value, and the ecological barrier of southern Anhui and western Zhejiang as the center of high value, which shows a core-periphery structure of “low in the middle and high in the periphery”. In time, the carbon carrying capacity of the Yangtze River Delta urban agglomeration as a whole declined significantly, showing a trend of equalization. The YRD urban agglomeration has formed a carbon emission correlation structure of carbon emission core, carbon flow axis and carbon sink core from east to west. The intensity of carbon emission correlation gradually narrows with the time gap. The spatial correlation network of carbon emissions in the Yangtze River Delta is at a low level, with obvious differences between the north and the south, relying on a few core cities and critical paths to maintain the effectiveness of carbon correlation. The spatial linkage network of carbon emissions in the YRD urban agglomeration is developing from the binary structure of “economic radiation and ecological absorption” to “multi-polarization and multi-threading”. The differences in population concentration and resource inclination are conducive to the establishment of carbon emission spatial correlation among cities. The heterogeneity of carbon emission correlation among cities mainly comes from the resource tilting power, infrastructure power, and other factors, and the potential factor is the guidance power of the government. This study can provide scientific basis and practical reference for the Yangtze River Delta urban agglomeration to realize low-carbon transition and synergistically promote the “dual-carbon” goal.
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Under the dual context of global climate governance and China's “dual carbon” goals, the study focuses on transportation carbon emissions in cities along the New International Land-Sea Trade Corridor. The spatiotemporal evolution patterns, spatial correlations, driving mechanisms are explored, and optimization strategies are proposed by selecting data from 2010, 2015 and 2020, employing the Gini coefficient, spatial autocorrelation analysis, and the spatial Durbin model (SDM) alongside multi-source datasets. The results show that transportation carbon emissions show significant regional differences and dynamic disequilibrium, the trend of disequilibrium is gradually weakening and structural problems need to be solved urgently. Emissions are synergistically influenced by multiple drivers.Transportation infrastructure exert positive effects, while urbanization exhibits a significant inhibitory role. The spatial spillover effects of each factor differ in intensity and underlying mechanisms. The results offer theoretical and policy insights for low-carbon transitions in the corridor, supporting China's “dual carbon” goals.Furthermore, the study expands the empirical diversity of transportation carbon emission research, providing incremental contributions to the field.
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The fragmentation of cultivated land caused by urban expansion poses a serious threat to the sustainable use of natural resources and food security. Taking the Guanzhong Plain urban agglomeration as a case study, this paper constructs a cultivated land fragmentation index (CLFI) from the perspective of landscape pattern.By integrating the CRITIC weighting method, concentric zone gradient analysis, and land use transition matrix, it systematically explores the spatiotemporal characteristics and response mechanisms of cultivated land fragmentation driven by urban expansion from 1990 to 2023. The results reveal that the total area of cultivated land in the study area decreased by 6.01×103 km2 from 1990 to 2023, of which 4.30×103 km2 was converted to construction land, accounting for 46.62% of new construction land. Fragmentation was primarily concentrated at urban fringes and higher elevations. The degree of cultivated land fragmentation exhibits a significant gradient across urban-rural zones, reflecting variations in urban development scale and stage across cities. The difference in the CLFI (ΔI) indicates an overall increase in fragmentation between 1990 and 2023, with Xianyang city showing the greatest increase in ΔI, which also intensifies with distance from the city center, whereas in most other cities, fragmentation decreases outward. These findings reveal the spatiotemporal evolution patterns of cultivated land fragmentation along the urban-rural gradient under the backdrop of urban agglomeration expansion, offering scientific insights for cultivated land protection, urban expansion planning, and land use optimization.
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Walking score is a widely used diagnostic tool for urban walkability in the world, and its scientific measurement has become a hot topic in the academic and practical fields. However, most of the existing measurement methods are still based on the background of western countries, and have not yet been adapted to China's national conditions, and in terms of the impact factors, the correlation analysis is mainly focused on the single factors at the plot scale, but lacks the cross analysis of muti-scale and muti-dimensional elements. Therefore, this paper constructs a walking score measurement system suitable for China's national conditions, and conducts an empirical study using 138 cities in the three major urban agglomerations (the Yangtze River Delta, Beijing-Tianjin-Hebei and the Pearl River Delta urban agglomerations) as case studies. It is found that the cities in the Yangtze River Delta urban agglomeration have the highest walking score, followed by Beijing-Tianjin-Hebei urban agglomeration, and the cities in the Pearl River Delta urban agglomeration have the lowest score. City scale, management level, social development level, and planning concept have significant effects on the walking score. The study suggests that improving a region's walking score requires not only consideration of the region itself, but also targeted policy interventions from the city's perspective.
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In 2016, the National Development and Reform Commission and the National Energy Administration proposed the construction of clean energy demonstration provinces and regions, and planned key pilot provinces, aiming to reduce the level of carbon emissions across the country. In order to clarify the implementation of clean energy demonstration provincial policies can effectively curb carbon emissions in the pilot areas, the impact of the implementation of clean energy demonstration provincial policies on carbon emissions was studied with the help of a multi-period DID model based on provincial panel data from 2005 to 2022. The results showed that the regression coefficient of the carbon emission reduction effect of the clean energy demonstration province policy was significantly negative(P<0.05), indicating that the clean energy demonstration provincial policy had a significant inhibitory effect on the carbon emission level of the pilot areas. In addition, through the parallel trend test, it also concluded that there was a time lag in the implementation effect of the clean energy demonstration provincial policy, and the impact effect gradually increased with time. Robustness test, intermediary effect test and heterogeneity analysis were carried out to verify the impact of technical level, industrial pollution control level, business environment and other factors on the carbon emission reduction effect of the policy.
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Scientifically identifying key areas of ecological restoration and rationally planning the ecological restoration space across the region are among the major tasks currently faced by territorial space planning. This study takes the Qingling-Daba Mountain area as an example, by employing the INVEST model, the landscape value, water conservation, soil retention, carbon fixation, and habitat quality of the Qinling-Daba Mountain area are evaluated to identify ecological source areas. Using circuit theory, ecological corridors and intersections are extracted to construct an ecological security pattern for territorial space. Furthermore, key areas of ecological restoration are identified using small watersheds as basic units. The research findings indicate that: high-value ecological resistance areas are primarily distributed in the eastern and northeastern regions of Qinling-Daba Mountain area.The areas of low-resistance, medium-low resistance, medium-high resistance, and high resistance zones are 31 682.38, 179 998.17, 11 346.18 and 1 404.08 km2, respectively. The Qinling-Daba Mountain area encompasses a total of 26 ecological source areas covering a combined area of 34 646.87 km2. There are 51 potential ecological corridors with a total length of 3 274.111 km and 141 intersections and obstacles. The ecological source areas exhibit the largest coverage in the central and western regions. The spatial distribution of ecological corridors demonstrates longer corridors in the east-west direction and shorter ones in the middle. Intersection points are predominantly concentrated in the eastern part of the Qinling-Daba Mountain area, while barrier points are more densely distributed in the northern part. Five key restoration areas are identified with small watersheds serving as the basic units. Specifically, it includes 10 small watersheds for habitat quality and water conservation restoration, 74 small watersheds for carbon fixation and landscape value restoration, 18 small watersheds for habitat quality and soil conservation restoration, 7 small watersheds for comprehensive restoration, 58 small watersheds for comprehensive restoration of corridors, pinch points, and barrier points.Finally,the strategies for ecological restoration of territorial space are proposed,which provide scientific references for ecological restoration of Qingling-Daba Mountain area.
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As the aging problem of Chinese society becomes more and more serious, the contradiction between the demand and supply of urban community in-home elderly service facilities continues to highlight, and there is an urgent need to rationally configure and optimize the elderly service facilities. Taking Xi'an as an example, the spatial configuration characteristics of urban community elderly service facilities and the daily travel pattern of the elderly are revealed,the rationalization of spatial configuration of urban community elderly service facilities layout is evaluated, and suggestions for the optimal allocation of elderly service facilities are put forward, using GIS and mathematical and statistical methods based on multi-source data, such as the urban point of interest(POI) data,statistical data and questionnaire survey data. The results show that elderly service facilities in Xi'an are concentrated in the traditional inner city and mature built-up areas, with a distribution extending to the emerging expansion areas and urban-rural transition areas along the direction of urban expansion. Fitness and recreation facilities in Xi'an have the widest distribution, with accessibility covering the six districts of the city. In contrast, other types of facilities in the urban-rural transition areas are less accessible. Community residents express satisfaction with the current state of elderly service facilities, but there are still some elderly people who lack understanding of the elderly service facilities, especially the social service facilities. The configuration of elderly service facilities in Xi'an is generally in a relatively irrational state, showing an unbalanced distribution pattern, with the phenomenon of lack of accessibility of facilities in some areas. The findings of the study can not only deepen the theory of spatial allocation of public service facilities in urban communities, but also provide a reference for the optimal layout of elderly service facilities in Xi'an.
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Territorial spatial planning is an important tool for promoting high-quality urban and rural development, while the study of emotional well-being during public transit commutes represents a key aspect of this development in the context of urban public transportation systems.Commuters, as the main users of public transit, face numerous challenges during their commutes. However, current academic research in China on the impact of commuting behavior on the emotional well-being of commuters within the framework of territorial spatial planning is still insufficient. This study focuses on commuters in Shenzhen, using smartphone software developed by the University of Minnesota to collect 4 097 valid travel records. A linear mixed-effects model was employed to explore the relationship between commuting behavior and emotional well-being during public transit commutes, aiming to comprehensively reveal the differences in emotional well-being among commuters in various urban areas. The findings provide theoretical support for integrating master-level spatial planning into more detailed planning stages. The main findings are as follows: 1)For bus users, travel companions and activities undertaken during the trip significantly influenced positive emotions such as happiness and a sense of meaning, and trip purpose largely determined the level of happiness. Moreover, factors including trip distance, duration, the presence of companions, and activities conducted during the trip were significantly related to feelings of fatigue and frustration. 2) For subway users, trips accompanied by partners, roommates, or colleagues were more likely to bring about happiness, especially in the Futian central area, but were also associated with higher stress levels. 3) Socio-economic factors including residential area, marital status, and household income significantly influenced the emotional well-being of public transit users. Finally, this study proposes planning recommendations aligned with territorial spatial planning to enhance the emotional well-being of commuters during public transit commutes.
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Designating ecological protection and restoration zones is crucial for achieving effective land space management. Previous studies that relied solely on single indicators such as ecosystem patterns, processes, or functions for ecological protection and restoration planning failed to approach ecosystems from a comprehensive and systematic perspective, resulting in questionable scientific validity of the analysis outcomes.An ecosystem health evaluation system from a systematic perspective is constructed, three primary indicators are utilized: organizational capacity, resilience, and contribution capacity, aligning with the “pattern-process-function” ecosystem research paradigm. Taking the “3+5” urban agglomeration around Changsha, Zhuzhou, and Xiangtan as an example, its ecosystem health status are evaluated and differentiated ecological protection and restoration zones for land space are proposed, considering its health type and change trend. The main research results are as follows: 1)From 2000 to 2020, the overall ecosystem health level in the study area exhibited a downward trend, with the health index dropping from 0.569 4 to 0.481 0. 2)The organizational capacity of ecosystems experienced the most significant decline, approximately 20.4%; resilience followed, decreasing by 11.8%; and the contribution capacity of ecosystems showed the least change, declining by 7.3%. 3)Based on the ecosystem health assessment results, the study area is categorized into five types: ecological conservation, green development, ecological buffering, ecological restoration, and ecological reshaping, with corresponding protection and restoration suggestions proposed.A scientific foundation can be provided for the sustainable management of regional ecosystems.