Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of rest...Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of restructuring types of rural settlements.This paper,taking Ezhou City of Hubei Province,China as the case study area,developed a potential inter-settlement network through considering settlements as nodes,and inter-settlement interactions induced by the spatial disparity of public facilities as edges,divided towns in Ezhou City into three zones based on community structure at the town level,and then identified four types of rural settlements in light of the characteristics of cluster patterns and centrality at the patch level.The results show that the inter-settlement network in Ezhou City presents apparent disparities in terms of community structure,cluster patterns and centrality.In community analysis,high inter-community and intra-community interactions are concentrated in well-developed areas in the north and east,while weak interactions between communities occur in the southern areas dominated by traditional agricultural production.Accordingly,three zones are divided such as the urban-leading zone,urban-rural integration zone and rural-leading zone.For the network centrality and cluster patterns,high-level rural settlements are mainly distributed in the urban-leading zone,followed by the urban-rural integration zone and the rural-leading zone.Moreover,the lump cluster pattern is observed in each zone,but the chain pattern and dispersed pattern largely occur in the rural-leading zone.At same time,four types of rural settlements are identified,namely urbanized settlements,central settlements,grassroots settlements and relocated settlements.The corresponding plans are discussed in different zones regarding urbanization,integration and characteristics to provide meaningful insights for policymakers to guide SRRS.This study would contribute to our understanding of the impact of social network involved in daily life on rural settlement reconstruction,and expect to provide theoretical and methodological support for rural sustainable development in practice.展开更多
Research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and decision-making.In this paper,we reveal the multi-dimensional characteristics o...Research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and decision-making.In this paper,we reveal the multi-dimensional characteristics of urban expansion patterns,based on the intensity index of the urban expansion,the differentiation index of the urban expansion,the fractal dimension index,the land urbanization rate,and the center of gravity model,by taking the Beijing-Tianjin-Hebei(Jing-Jin-Ji)urban agglomeration as an example.We then build the center of gravity-geographically and temporally weighted regression(GTWR)model by coupling the center of gravity model with the GTWR model.Through the analysis of the temporal and spatial patterns and by using the center of gravity-GTWR model,we analyze the driving forces of the urban land expansion and summarize the dominant development modes and core driving forces of the Jing-Jin-Ji urban agglomeration.The results show that:1)Between 1990 and 2015,the expansion intensity of the Jing-Jin-Ji urban agglomeration showed a down-up-down trend,and the peak period was in 2005-2010.Before 2005,high-speed development took place in Beijing,Tianjin,Baoding,and Langfang;after 2005,rapid development was seen in Xingtai and Handan.2)Although the barycenter of cities in the Jing-Jin-Ji urban agglomeration has shown a divergent trend,the local interaction between cities has been enhanced,and the driving forces of urban land expansion have shown a characteristic of spatial spillover.3)The spatial development mode of the Jing-Jin-Ji urban agglomeration has changed from a dual-core development mode to a multi-core development mode,which is made up of three functional cores:the transportation core in the northern part,the economic development core in the central part,and the investment core in the southern part.The synergistic development between each functional core has led to the multi-core development mode.4)The center of gravity-GTWR model combines the analysis of spatial and temporal nonstationarity with urban spatial interaction,and analyzes the urban land expansion as a space-time dynamic system.The results of this study show that the model is a feasible approach in the analysis of the driving forces of urban land expansion.展开更多
Since the launch of China’s reform and opening up policy,the process of urbanization in China has accelerated significantly.With the development of cities,inter-city interactions have become increasingly close,formin...Since the launch of China’s reform and opening up policy,the process of urbanization in China has accelerated significantly.With the development of cities,inter-city interactions have become increasingly close,forming urban agglomerations that tend to be integrated.Urban agglomerations are regional spaces with network relationships and hierarchies,and have always been the main units for China to promote urbanization and regional coordinated development.In this paper,we comprehensively consider the network and hierarchical characteristics of an urban agglomeration,while using urban flow to describe the interactions of the inter-city networks and the hierarchical generalized linear model(HGLM)to reveal the hierarchical driving mechanism of the urban agglomeration.By coupling the HGLM with a cellular automata(CA)model,we introduced the HGLM-CA model for the simulation of the spatial expansion of an urban agglomeration,and compared the simulation results with those of the logistic-CA model and the biogeography-based optimization CA(BBO-CA)model.According to the results,we further analyzed the advantages and disadvantages of the proposed HGLM-CA model.We selected the middle reaches of the Yangtze River in China as the research area to conduct this empirical research,and simulated the spatial expansion of the urban agglomeration in 2017 on the basis of urban land-use data from 2007 and 2012.The results indicate that the spatial expansion of the urban agglomeration can be attributed to various driving factors.As a driving factor at the urban level,urban flow promotes the evolution of land use in the urban agglomeration,and also plays an important role in regulating cell-level factors,making the cell-level factors of different cities show different driving effects.The HGLM-CA model is able to obtain a higher simulation accuracy than the logistic-CA model,which indicates that the simulation results for urban agglomeration expansion considering urban flow and hierarchical characteristics are more accurate.When compared with the intelligent algorithm model,i.e.,BBO-CA,the HGLM-CA model obtains a lower simulation accuracy,but it can analyze the interaction of the various driving factors from a hierarchical perspective.It also has a strong explanatory effect for the spatial expansion mechanism of urban agglomerations.展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.41871301)。
文摘Social interaction has become one of the key factors affecting the spatial reconstruction of rural settlements(SRRS).However,most studies ignored the multi-scale impact of social networks on the identification of restructuring types of rural settlements.This paper,taking Ezhou City of Hubei Province,China as the case study area,developed a potential inter-settlement network through considering settlements as nodes,and inter-settlement interactions induced by the spatial disparity of public facilities as edges,divided towns in Ezhou City into three zones based on community structure at the town level,and then identified four types of rural settlements in light of the characteristics of cluster patterns and centrality at the patch level.The results show that the inter-settlement network in Ezhou City presents apparent disparities in terms of community structure,cluster patterns and centrality.In community analysis,high inter-community and intra-community interactions are concentrated in well-developed areas in the north and east,while weak interactions between communities occur in the southern areas dominated by traditional agricultural production.Accordingly,three zones are divided such as the urban-leading zone,urban-rural integration zone and rural-leading zone.For the network centrality and cluster patterns,high-level rural settlements are mainly distributed in the urban-leading zone,followed by the urban-rural integration zone and the rural-leading zone.Moreover,the lump cluster pattern is observed in each zone,but the chain pattern and dispersed pattern largely occur in the rural-leading zone.At same time,four types of rural settlements are identified,namely urbanized settlements,central settlements,grassroots settlements and relocated settlements.The corresponding plans are discussed in different zones regarding urbanization,integration and characteristics to provide meaningful insights for policymakers to guide SRRS.This study would contribute to our understanding of the impact of social network involved in daily life on rural settlement reconstruction,and expect to provide theoretical and methodological support for rural sustainable development in practice.
基金National Natural Science Foundation of China,No.41571384Land Resources Survey and Evaluation Project of Ministry of Land and Resources of China,No.DCPJ161207-01+2 种基金Fund for Fostering Talents in Basic Science of National Natural Science Foundation of China,No.J1103409Key Program of National Natural Science Foundation of China,No.71433008Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research,CAS。
文摘Research into urban expansion patterns and their driving forces is of great significance for urban agglomeration development planning and decision-making.In this paper,we reveal the multi-dimensional characteristics of urban expansion patterns,based on the intensity index of the urban expansion,the differentiation index of the urban expansion,the fractal dimension index,the land urbanization rate,and the center of gravity model,by taking the Beijing-Tianjin-Hebei(Jing-Jin-Ji)urban agglomeration as an example.We then build the center of gravity-geographically and temporally weighted regression(GTWR)model by coupling the center of gravity model with the GTWR model.Through the analysis of the temporal and spatial patterns and by using the center of gravity-GTWR model,we analyze the driving forces of the urban land expansion and summarize the dominant development modes and core driving forces of the Jing-Jin-Ji urban agglomeration.The results show that:1)Between 1990 and 2015,the expansion intensity of the Jing-Jin-Ji urban agglomeration showed a down-up-down trend,and the peak period was in 2005-2010.Before 2005,high-speed development took place in Beijing,Tianjin,Baoding,and Langfang;after 2005,rapid development was seen in Xingtai and Handan.2)Although the barycenter of cities in the Jing-Jin-Ji urban agglomeration has shown a divergent trend,the local interaction between cities has been enhanced,and the driving forces of urban land expansion have shown a characteristic of spatial spillover.3)The spatial development mode of the Jing-Jin-Ji urban agglomeration has changed from a dual-core development mode to a multi-core development mode,which is made up of three functional cores:the transportation core in the northern part,the economic development core in the central part,and the investment core in the southern part.The synergistic development between each functional core has led to the multi-core development mode.4)The center of gravity-GTWR model combines the analysis of spatial and temporal nonstationarity with urban spatial interaction,and analyzes the urban land expansion as a space-time dynamic system.The results of this study show that the model is a feasible approach in the analysis of the driving forces of urban land expansion.
基金National Natural Science Foundation of China(42171411)Youth Innovation Promotion Association,CAS(2019055)。
文摘Since the launch of China’s reform and opening up policy,the process of urbanization in China has accelerated significantly.With the development of cities,inter-city interactions have become increasingly close,forming urban agglomerations that tend to be integrated.Urban agglomerations are regional spaces with network relationships and hierarchies,and have always been the main units for China to promote urbanization and regional coordinated development.In this paper,we comprehensively consider the network and hierarchical characteristics of an urban agglomeration,while using urban flow to describe the interactions of the inter-city networks and the hierarchical generalized linear model(HGLM)to reveal the hierarchical driving mechanism of the urban agglomeration.By coupling the HGLM with a cellular automata(CA)model,we introduced the HGLM-CA model for the simulation of the spatial expansion of an urban agglomeration,and compared the simulation results with those of the logistic-CA model and the biogeography-based optimization CA(BBO-CA)model.According to the results,we further analyzed the advantages and disadvantages of the proposed HGLM-CA model.We selected the middle reaches of the Yangtze River in China as the research area to conduct this empirical research,and simulated the spatial expansion of the urban agglomeration in 2017 on the basis of urban land-use data from 2007 and 2012.The results indicate that the spatial expansion of the urban agglomeration can be attributed to various driving factors.As a driving factor at the urban level,urban flow promotes the evolution of land use in the urban agglomeration,and also plays an important role in regulating cell-level factors,making the cell-level factors of different cities show different driving effects.The HGLM-CA model is able to obtain a higher simulation accuracy than the logistic-CA model,which indicates that the simulation results for urban agglomeration expansion considering urban flow and hierarchical characteristics are more accurate.When compared with the intelligent algorithm model,i.e.,BBO-CA,the HGLM-CA model obtains a lower simulation accuracy,but it can analyze the interaction of the various driving factors from a hierarchical perspective.It also has a strong explanatory effect for the spatial expansion mechanism of urban agglomerations.
