Urban construction land has relatively high human activity and high carbon emissions.Research on urban construction land prediction under carbon peak and neutrality goals(hereafter“dual carbon”goals)is important for...Urban construction land has relatively high human activity and high carbon emissions.Research on urban construction land prediction under carbon peak and neutrality goals(hereafter“dual carbon”goals)is important for territorial spatial planning.This study analyzed quantitative relationships between carbon emissions and urban construction land,and then modified the construction land demand prediction model.Thereafter,an integrated model for urban construction land demand prediction and spatial pattern simulation under“dual carbon”goals was developed,where urban construction land suitability was modified based on carbon source and sink capacity of different land-use types.Using Guangzhou as a case study,the integrated model was validated and applied to simulate the spatiotemporal dynamics of its urban construction land during 2030–2060 under baseline development and“dual carbon”goals scenarios.The simulation results showed that Guangzhou’s urban construction land expanded rapidly until 2030,with the spatial pattern not showing an intensive development trend.Guangzhou’s urban construction land expansion slowed during 2030–2060,with an average annual growth rate of 0.2%,and a centralized spatial pattern trend.Under the“dual carbon”goal scenario,Guangzhou’s urban construction land evolved into a polycentric development pattern in 2030.Compared with the baseline development scenario,urban construction land expansion in Guangzhou during 2030–2060 is slower,with an average annual growth rate of only 0.1%,and the polycentric development pattern of urban construction land was more prominent.Furthermore,land maintenance and growth,that is,a carbon sink,is more obvious under the“dual carbon”goals scenario,with the forest land area nearly 10.6%higher than that under the baseline development scenario.The study of urban construction land demand prediction and spatial pattern simulation under“dual carbon”goals provides a scientific decision-making support tool for territorial spatial planning,aiding in quantifying territorial spatial planning.展开更多
Despite the significant annual consumption of honey in Saudi Arabia, information gaps remain with regard to the marketing and market structure of honey along the value chain. This study analyzed the major factors that...Despite the significant annual consumption of honey in Saudi Arabia, information gaps remain with regard to the marketing and market structure of honey along the value chain. This study analyzed the major factors that influenced the consumption, expenditure patterns, and demand of honey in Saudi Arabia. This study forecasted the near-future expected market demands for honey in Saudi Arabia by collecting and analyzing the primary data using questionnaires. A total of 331 respondents from representative regions and large cities were randomly selected and interviewed. The data were analyzed using qualitative and quantitative methods as well as appropriate econometric models. Respondents characterized honey quality using organoleptic words, and these characterizations varied based on the relative significance of perception parameters. Taste, aroma, physical state, and color had aggregated average scores of 4.58, 4.44, 3.54, and 3.28, respectively. In addition to the above parameters, honey source, brand name, and confidence in the producers influenced its perceived quality. The major outlets for honey in Saudi Arabia included producers, specialized honey stores, and auction markets in major cities during the harvesting seasons. Medication, food, and sweetening were the major motivations for buying honey in the Saudi market, with aggregate scores of 4.52, 3.71, and 1.52, respectively. Significant honey price variations were observed within and among different honeys and packaging volumes;this finding might be due to factors such as botanical and geographical origins, package volume size economics (i.e., bulk purchases), honey variety blending, brand names, and producer policies. The average price of locally produced honey was approximately $73 per kg, which is 10 times more than the average price of honey in the US and the EU. The estimated consumption/income elasticity was 0.27. These results suggest that honey is a basic commodity in Saudi Arabia. Based on econometric model forecasts, the Saudi market demand for honey is expected to reach approximately 29,784 tons in 2025.展开更多
The new development pattern with the major domestic cycle as the main body and the double domestic and international cycles promoting each other is another important strategic measure proposed by the CPC Central Commi...The new development pattern with the major domestic cycle as the main body and the double domestic and international cycles promoting each other is another important strategic measure proposed by the CPC Central Committee to deal with the current domestic economic developing situation. And the construction of the double cycle pattern should be based on the strategic basis of domestic demand, how to appropriately expand the total demand, especially the expansion of domestic demand is the problem in front of the current Chinese market. This paper tries to analyze the factors affecting the expansion of domestic demand. Hope that through the relevant exposition of this paper, we can find a way not to produce economic bubble, inflation, and can find an effective way to achieve the rapid and stable development of the current economy.展开更多
The equilibrium between the supply and demand of water purification services is essential for safeguarding watershed ecosystems and supporting sustainable socio-economic growth.While current research mainly emphasizes...The equilibrium between the supply and demand of water purification services is essential for safeguarding watershed ecosystems and supporting sustainable socio-economic growth.While current research mainly emphasizes the static analysis of this balance,dynamic investigations into service flow characteristics remain scarce.This study focuses on the Xiangjiang River Basin in southern China,utilizing the InVEST model,differential equations governing supply and demand,and social network analysis to investigate the spatio-temporal patterns of water purification service supply and demand.The results reveal that between 2000 and 2020,the supply of water purification services showed a slight upward trend,while demand exhibited a fluctuating downward tendency,and the supply-demand surplus fluctuated.On an annual basis,the supply generally met the demand,but significant spatial variation in supply-demand balance was observed,with high-risk zones concentrated in the central Hengshao arid corridor and the northern Changzhutan metropolitan area.In the water purification service network,surplus nodes increased,while deficit nodes decreased over time.Network density improved from 98.96%in 2000 to 100%in 2020.The flow of surplus services from upstream regions alleviated supply-demand imbalances downstream,notably in the Hengyang-Shaoyang(Hengshao)arid corridor and the Changsha-Zhuzhou-Xiangtan(Changzhutan)metropolitan area.However,during drought years,diminished water volume intensified supply-demand pressures in these regions.This research framework,which incorporates the dynamic effects of service flow,broadens the scope of water purification service studies and provides a solid foundation for integrated water resource and environmental management.展开更多
Recreational services(RS)play a significant role in promoting the harmonious coexistence between humans and nature and enhancing public mental health.This study systematically examined the spatiotemporal evolutionary ...Recreational services(RS)play a significant role in promoting the harmonious coexistence between humans and nature and enhancing public mental health.This study systematically examined the spatiotemporal evolutionary characteristics and coupling relationships between the supply and demand of RS in the Yangtze River Delta(YRD)region from 2010 to 2020.By integrating multi-source data—including land use,big data,and fundamental geographic information—a quantitative indicator system for the potential supply and demand of RS was constructed,and the Geo-detector method was employed to identify key driving factors.The results indicate that:(1)During the study period,spatial mismatches existed between the supply and demand of RS in the YRD,though the overall imbalance tended to decrease;(2)Both high-supply and high-demand areas exhibited significant spatial clustering,with high-supply areas primarily located in the southern part and high-demand areas concentrated in the eastern part,leading to extensive supply deficits in the eastern YRD due to spatial misalignment;and(3)The supply and demand of RS are jointly driven by natural and social factors,with tourism economic activity and urban spatial expansion being the key influencing factors.Based on these findings,we propose that regional differentiated strategies,spatial planning coordination,and data-driven governance should be adopted to enhance the supply-demand balance of RS in the YRD and promote synergistic socio-ecological development.展开更多
The paper emphasized the relationship between environment and water taking ecological demand water (EWD) in the Qaidam Basin─an inner basin in northwestern China, as a key issue to discuss based on landscape umpping....The paper emphasized the relationship between environment and water taking ecological demand water (EWD) in the Qaidam Basin─an inner basin in northwestern China, as a key issue to discuss based on landscape umpping. First of all. the spatial heterogeneity of ecosystem can be reflected well by landscape pattern; secondly, landscape patterns adjust closely with environmental changes; finally, water condition is the key ecological factor for landscape pattern in the arid region.The landsat TM image of 1:100,000 on September 22, 1996 were calibrated with topographical map of the same scale, and then landscape patterns were interpreted and mapped. As a result the Qaidam Basin could be divided into 14 main types, including 67 subtypes. Concerning the characteristics of the EWD of each sub-type, the EWD in the whole basin could be estimated according to the following formula:V= (E - P ) * S = r (KEo - P ) * S Where, V is the ecological demand for Water (m3), E is the evaporation potential on terrestrial surface (m). P is the precipitation in landscape unit (m), S is the area of landscape unit (m2), Eo is the evaporation potential on water surface (m), K is the evaporation coefficient, and r is the coverage.According to the results, the ecological demand for water of desert vegetation is about 9,65×108m3, while it is about 24.48×108m3 for the lake in the inner basin. Therefore, the total EWD occupies approximately 65.7％ of the total water resources in the basin. In conclusion, the quantitative method based on landscape ecological mapping is feasible, which attentively transfers the 'point'information to the 'area'. However, the preliminary results are expccted to improve by further field delta.展开更多
In considering of high proportion of renewable energy supply in 2050, the accelerating of energy consumption gross, source and environment can affect the energy system restrict affection are stronger. Add wind and sol...In considering of high proportion of renewable energy supply in 2050, the accelerating of energy consumption gross, source and environment can affect the energy system restrict affection are stronger. Add wind and solar to electricity energy with large amount of energy source exploitation. The energy source amount per person is lower. Considering the renewable energy amount and supply, primary energy storage and structure problem is standing out. Before the wide spread of renewable energy, Using the high-carbon energy in China can pollute seriously. Chinese energy supply and demand problem is research key point. This paper researches Chinese energy supply and demand pattern system and evaluation methodology, gives out the inner and outer influencing elements. And evaluate Chinese energy supply and demand pattern from energy gross, structure, distribution and transportation. Use energy supply synthesize radar comparison chart in certain time period. From energy security, economy, clean and efficiency, analyze the benefit comparisons of Chinese energy supply and demand pattern. This energy supply and demand pattern model will give one certain theoretical analysis and practice reference to the further high proportion of renewable energy.展开更多
Purpose–Facing the diverse needs of large-scale customers,based on available railway service resources and service capabilities,this paper aims to research the design method of railway freight service portfolio,selec...Purpose–Facing the diverse needs of large-scale customers,based on available railway service resources and service capabilities,this paper aims to research the design method of railway freight service portfolio,select optimal service solutions and provide customers with comprehensive and customized freight services.Design/methodology/approach–Based on the characteristics of railway freight services throughout the entire process,the service system is decomposed into independent units of service functions,and a railway freight service combination model is constructed with the goal of minimizing response time,service cost and service time.A model solving algorithm based on adaptive genetic algorithm is proposed.Findings–Using the computational model,an empirical analysis was conducted on the entire process freight service plan for starch sold from Xi’an to Chengdu as an example.The results showed that the proposed optimization model and algorithm can effectively guide the design of freight plans and provide technical support for real-time response to customers’diversified entire process freight service needs.Originality/value–With the continuous optimization and upgrading of railway freight source structure,customer demands are becoming increasingly diverse and personalized.Studying and designing a reasonable railway freight service plan throughout the entire process is of great significance for timely response to customer needs,improving service efficiency and reducing design costs.展开更多
基金National Natural Science Foundation of China,No.41971233。
文摘Urban construction land has relatively high human activity and high carbon emissions.Research on urban construction land prediction under carbon peak and neutrality goals(hereafter“dual carbon”goals)is important for territorial spatial planning.This study analyzed quantitative relationships between carbon emissions and urban construction land,and then modified the construction land demand prediction model.Thereafter,an integrated model for urban construction land demand prediction and spatial pattern simulation under“dual carbon”goals was developed,where urban construction land suitability was modified based on carbon source and sink capacity of different land-use types.Using Guangzhou as a case study,the integrated model was validated and applied to simulate the spatiotemporal dynamics of its urban construction land during 2030–2060 under baseline development and“dual carbon”goals scenarios.The simulation results showed that Guangzhou’s urban construction land expanded rapidly until 2030,with the spatial pattern not showing an intensive development trend.Guangzhou’s urban construction land expansion slowed during 2030–2060,with an average annual growth rate of 0.2%,and a centralized spatial pattern trend.Under the“dual carbon”goal scenario,Guangzhou’s urban construction land evolved into a polycentric development pattern in 2030.Compared with the baseline development scenario,urban construction land expansion in Guangzhou during 2030–2060 is slower,with an average annual growth rate of only 0.1%,and the polycentric development pattern of urban construction land was more prominent.Furthermore,land maintenance and growth,that is,a carbon sink,is more obvious under the“dual carbon”goals scenario,with the forest land area nearly 10.6%higher than that under the baseline development scenario.The study of urban construction land demand prediction and spatial pattern simulation under“dual carbon”goals provides a scientific decision-making support tool for territorial spatial planning,aiding in quantifying territorial spatial planning.
文摘Despite the significant annual consumption of honey in Saudi Arabia, information gaps remain with regard to the marketing and market structure of honey along the value chain. This study analyzed the major factors that influenced the consumption, expenditure patterns, and demand of honey in Saudi Arabia. This study forecasted the near-future expected market demands for honey in Saudi Arabia by collecting and analyzing the primary data using questionnaires. A total of 331 respondents from representative regions and large cities were randomly selected and interviewed. The data were analyzed using qualitative and quantitative methods as well as appropriate econometric models. Respondents characterized honey quality using organoleptic words, and these characterizations varied based on the relative significance of perception parameters. Taste, aroma, physical state, and color had aggregated average scores of 4.58, 4.44, 3.54, and 3.28, respectively. In addition to the above parameters, honey source, brand name, and confidence in the producers influenced its perceived quality. The major outlets for honey in Saudi Arabia included producers, specialized honey stores, and auction markets in major cities during the harvesting seasons. Medication, food, and sweetening were the major motivations for buying honey in the Saudi market, with aggregate scores of 4.52, 3.71, and 1.52, respectively. Significant honey price variations were observed within and among different honeys and packaging volumes;this finding might be due to factors such as botanical and geographical origins, package volume size economics (i.e., bulk purchases), honey variety blending, brand names, and producer policies. The average price of locally produced honey was approximately $73 per kg, which is 10 times more than the average price of honey in the US and the EU. The estimated consumption/income elasticity was 0.27. These results suggest that honey is a basic commodity in Saudi Arabia. Based on econometric model forecasts, the Saudi market demand for honey is expected to reach approximately 29,784 tons in 2025.
文摘The new development pattern with the major domestic cycle as the main body and the double domestic and international cycles promoting each other is another important strategic measure proposed by the CPC Central Committee to deal with the current domestic economic developing situation. And the construction of the double cycle pattern should be based on the strategic basis of domestic demand, how to appropriately expand the total demand, especially the expansion of domestic demand is the problem in front of the current Chinese market. This paper tries to analyze the factors affecting the expansion of domestic demand. Hope that through the relevant exposition of this paper, we can find a way not to produce economic bubble, inflation, and can find an effective way to achieve the rapid and stable development of the current economy.
基金National Natural Science Foundation of China,No.42171258,No.U22A20611Joint Fund of Hunan Provincial Natural Science Foundation of China,No.2024JJ8350。
文摘The equilibrium between the supply and demand of water purification services is essential for safeguarding watershed ecosystems and supporting sustainable socio-economic growth.While current research mainly emphasizes the static analysis of this balance,dynamic investigations into service flow characteristics remain scarce.This study focuses on the Xiangjiang River Basin in southern China,utilizing the InVEST model,differential equations governing supply and demand,and social network analysis to investigate the spatio-temporal patterns of water purification service supply and demand.The results reveal that between 2000 and 2020,the supply of water purification services showed a slight upward trend,while demand exhibited a fluctuating downward tendency,and the supply-demand surplus fluctuated.On an annual basis,the supply generally met the demand,but significant spatial variation in supply-demand balance was observed,with high-risk zones concentrated in the central Hengshao arid corridor and the northern Changzhutan metropolitan area.In the water purification service network,surplus nodes increased,while deficit nodes decreased over time.Network density improved from 98.96%in 2000 to 100%in 2020.The flow of surplus services from upstream regions alleviated supply-demand imbalances downstream,notably in the Hengyang-Shaoyang(Hengshao)arid corridor and the Changsha-Zhuzhou-Xiangtan(Changzhutan)metropolitan area.However,during drought years,diminished water volume intensified supply-demand pressures in these regions.This research framework,which incorporates the dynamic effects of service flow,broadens the scope of water purification service studies and provides a solid foundation for integrated water resource and environmental management.
基金The National Natural Science Foundation of China(42271251)。
文摘Recreational services(RS)play a significant role in promoting the harmonious coexistence between humans and nature and enhancing public mental health.This study systematically examined the spatiotemporal evolutionary characteristics and coupling relationships between the supply and demand of RS in the Yangtze River Delta(YRD)region from 2010 to 2020.By integrating multi-source data—including land use,big data,and fundamental geographic information—a quantitative indicator system for the potential supply and demand of RS was constructed,and the Geo-detector method was employed to identify key driving factors.The results indicate that:(1)During the study period,spatial mismatches existed between the supply and demand of RS in the YRD,though the overall imbalance tended to decrease;(2)Both high-supply and high-demand areas exhibited significant spatial clustering,with high-supply areas primarily located in the southern part and high-demand areas concentrated in the eastern part,leading to extensive supply deficits in the eastern YRD due to spatial misalignment;and(3)The supply and demand of RS are jointly driven by natural and social factors,with tourism economic activity and urban spatial expansion being the key influencing factors.Based on these findings,we propose that regional differentiated strategies,spatial planning coordination,and data-driven governance should be adopted to enhance the supply-demand balance of RS in the YRD and promote synergistic socio-ecological development.
文摘The paper emphasized the relationship between environment and water taking ecological demand water (EWD) in the Qaidam Basin─an inner basin in northwestern China, as a key issue to discuss based on landscape umpping. First of all. the spatial heterogeneity of ecosystem can be reflected well by landscape pattern; secondly, landscape patterns adjust closely with environmental changes; finally, water condition is the key ecological factor for landscape pattern in the arid region.The landsat TM image of 1:100,000 on September 22, 1996 were calibrated with topographical map of the same scale, and then landscape patterns were interpreted and mapped. As a result the Qaidam Basin could be divided into 14 main types, including 67 subtypes. Concerning the characteristics of the EWD of each sub-type, the EWD in the whole basin could be estimated according to the following formula:V= (E - P ) * S = r (KEo - P ) * S Where, V is the ecological demand for Water (m3), E is the evaporation potential on terrestrial surface (m). P is the precipitation in landscape unit (m), S is the area of landscape unit (m2), Eo is the evaporation potential on water surface (m), K is the evaporation coefficient, and r is the coverage.According to the results, the ecological demand for water of desert vegetation is about 9,65×108m3, while it is about 24.48×108m3 for the lake in the inner basin. Therefore, the total EWD occupies approximately 65.7％ of the total water resources in the basin. In conclusion, the quantitative method based on landscape ecological mapping is feasible, which attentively transfers the 'point'information to the 'area'. However, the preliminary results are expccted to improve by further field delta.
文摘In considering of high proportion of renewable energy supply in 2050, the accelerating of energy consumption gross, source and environment can affect the energy system restrict affection are stronger. Add wind and solar to electricity energy with large amount of energy source exploitation. The energy source amount per person is lower. Considering the renewable energy amount and supply, primary energy storage and structure problem is standing out. Before the wide spread of renewable energy, Using the high-carbon energy in China can pollute seriously. Chinese energy supply and demand problem is research key point. This paper researches Chinese energy supply and demand pattern system and evaluation methodology, gives out the inner and outer influencing elements. And evaluate Chinese energy supply and demand pattern from energy gross, structure, distribution and transportation. Use energy supply synthesize radar comparison chart in certain time period. From energy security, economy, clean and efficiency, analyze the benefit comparisons of Chinese energy supply and demand pattern. This energy supply and demand pattern model will give one certain theoretical analysis and practice reference to the further high proportion of renewable energy.
文摘Purpose–Facing the diverse needs of large-scale customers,based on available railway service resources and service capabilities,this paper aims to research the design method of railway freight service portfolio,select optimal service solutions and provide customers with comprehensive and customized freight services.Design/methodology/approach–Based on the characteristics of railway freight services throughout the entire process,the service system is decomposed into independent units of service functions,and a railway freight service combination model is constructed with the goal of minimizing response time,service cost and service time.A model solving algorithm based on adaptive genetic algorithm is proposed.Findings–Using the computational model,an empirical analysis was conducted on the entire process freight service plan for starch sold from Xi’an to Chengdu as an example.The results showed that the proposed optimization model and algorithm can effectively guide the design of freight plans and provide technical support for real-time response to customers’diversified entire process freight service needs.Originality/value–With the continuous optimization and upgrading of railway freight source structure,customer demands are becoming increasingly diverse and personalized.Studying and designing a reasonable railway freight service plan throughout the entire process is of great significance for timely response to customer needs,improving service efficiency and reducing design costs.
