Urban land use is always the central focus of urban planners and policymakers when pursuing urban sustainable development.Currently,many studies have explored urban land use using satellite data,but few of them can id...Urban land use is always the central focus of urban planners and policymakers when pursuing urban sustainable development.Currently,many studies have explored urban land use using satellite data,but few of them can identify the social function of land use through these data.In this research,OpenStreetMap(OSM)data are used to extract urban land use social functional units.Firstly,the OSM data are transferred to actual land use types based on the established mapping rules between OSM data and the urban land use classification standards.Then,the improved DBSCAN algorithm is applied with OSM data of the study area after estimating the parameters of the neighborhood radius(Eps)and the minimum polygons(MinPolys)based on the polygon density.With the two estimated parameters,the improved DBSCAN algorithm is used to cluster residential,commercial and public service land use social functional polygons of the OSM data.Following that,the clusters of the three land use types are processed into land use social functional units.The results show that OSM data perform well in determining these three land use social functional clusters using the improved DBSCAN algorithm,and the social functional units display obvious spatial features.展开更多
In recent years,urban resilience has attracted increasing attention from researchers and managers from the international community at the national,regional,and urban levels.Numerous multi-dimensional and cross-discipl...In recent years,urban resilience has attracted increasing attention from researchers and managers from the international community at the national,regional,and urban levels.Numerous multi-dimensional and cross-disciplinary investigations,campaigns,and outlines have significantly promoted the development goal of re-silience in cities worldwide.However,the existing definitions and interpretations of urban resilience still call for a more comprehensive,systematic,and exhaustive analysis as urbanization accelerates and the complex risks of various safety events increase.To this end,we rethink the extension and connotation of urban resilience based on a review and analysis of critical hotspots,realistic demand,and development trends.A conceptual classification with three aspects and three typical tiers of urban resilience is proposed,which further promotes a new definition and interpretation by incorporating the resilience extension of urban systems.In addition,the six-dimensional characteristics are extracted to furnish the urban resilience connotation,and four-stage improvement measures are introduced accordingly.In addition,the newly developed urban resilience is applied to a case analysis of a large-scale disaster,which demonstrates the necessity and significance of this study.The new extension and connotation investigation will be helpful for the improvement and implementation of urban resilience,thereby guiding the construction of resilient cities.展开更多
文摘Urban land use is always the central focus of urban planners and policymakers when pursuing urban sustainable development.Currently,many studies have explored urban land use using satellite data,but few of them can identify the social function of land use through these data.In this research,OpenStreetMap(OSM)data are used to extract urban land use social functional units.Firstly,the OSM data are transferred to actual land use types based on the established mapping rules between OSM data and the urban land use classification standards.Then,the improved DBSCAN algorithm is applied with OSM data of the study area after estimating the parameters of the neighborhood radius(Eps)and the minimum polygons(MinPolys)based on the polygon density.With the two estimated parameters,the improved DBSCAN algorithm is used to cluster residential,commercial and public service land use social functional polygons of the OSM data.Following that,the clusters of the three land use types are processed into land use social functional units.The results show that OSM data perform well in determining these three land use social functional clusters using the improved DBSCAN algorithm,and the social functional units display obvious spatial features.
基金the National Key R&D Program of China(No.2021ZD0111200)the National Science Foundation of China(Grant No.72204134,72174099)the High-tech Discipline Construction Foundation for Universities in Beijing(Safety Science and Engineering).
文摘In recent years,urban resilience has attracted increasing attention from researchers and managers from the international community at the national,regional,and urban levels.Numerous multi-dimensional and cross-disciplinary investigations,campaigns,and outlines have significantly promoted the development goal of re-silience in cities worldwide.However,the existing definitions and interpretations of urban resilience still call for a more comprehensive,systematic,and exhaustive analysis as urbanization accelerates and the complex risks of various safety events increase.To this end,we rethink the extension and connotation of urban resilience based on a review and analysis of critical hotspots,realistic demand,and development trends.A conceptual classification with three aspects and three typical tiers of urban resilience is proposed,which further promotes a new definition and interpretation by incorporating the resilience extension of urban systems.In addition,the six-dimensional characteristics are extracted to furnish the urban resilience connotation,and four-stage improvement measures are introduced accordingly.In addition,the newly developed urban resilience is applied to a case analysis of a large-scale disaster,which demonstrates the necessity and significance of this study.The new extension and connotation investigation will be helpful for the improvement and implementation of urban resilience,thereby guiding the construction of resilient cities.
