[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infra...[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infrastructure such as pipe networks for urban stormwater management is not enough to deal with urban rainstorm flood disasters under extreme rainfall events.The integration of green,grey and blue systems(GGB-integrated system)is gradually gaining recognition in the field of global flood prevention.It is necessary to further clarify the connotation,technical and engineering implementation strategies of the GGB-integrated system,to provide support for the resilient city construction.[Methods]Through literature retrieval and analysis,the relevant research and progress related to the layout optimization and joint scheduling optimization of the GGBintegrated system were systematically reviewed.In response to existing limitations and future engineering application requirements,key supporting technologies including the utilization of overground emergency storage spaces,safety protection of underground important infrastructure and multi-departmental collaboration,were proposed.A layout optimization framework and a joint scheduling framework for the GGB-integrated system were also developed.[Results]Current research on layout optimization predominantly focuses on the integration of green system and grey system,with relatively fewer studies incorporating blue system infrastructure into the optimization process.Moreover,these studies tend to be on a smaller scale with simpler scenarios,which do not fully capture the complexity of real-world systems.Additionally,optimization objective tend to prioritize environmental and economic goals,while social and ecological factors are less frequently considered.Current research on joint scheduling optimization is often limited to small-scale plots,with insufficient attention paid to the entire system.There is a deficiency in method for real-time,automated determination of optimal control strategies for combinations of multiple system facilities based on actual rainfall-runoff processes.Additionally,the application of emergency facilities during extreme conditions is not sufficiently addressed.Furthermore,both layout optimization and joint scheduling optimization lack consideration of the mute feed effect of flood and waterlogging in urban,watershed and regional scales.[Conclusion]Future research needs to improve the theoretical framework for layout optimization and joint scheduling optimization of GGB-integrated system.Through the comprehensive application of the Internet of things,artificial intelligence,coupling model development,multi-scale analysis,multi-scenario simulation,and the establishment of multi-departmental collaboration mechanisms,it can enhance the flood resilience of urban areas in response to rainfall events of varying intensities,particularly extreme rainfall events.展开更多
数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009...数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009—2022年)的227篇英文文献。研究发现:从内涵发展看,数字服务化尚未有统一界定,但可识别其内涵核心要素;从研究热点与理论演进看,数字服务化研究从关注ICT技术对企业服务创新的重要作用到剖析数字化在服务化中的作用,再到强调服务生态系统对数字服务化的重要性,理论视角从商业模式理论、价值共创理论向服务主导逻辑、服务生态系统视角演进;从研究主题看,现有研究主要围绕数字服务化情境、能力、模式、连结及结果五大主题。本文据此构建起“大数据分析能力—模块化解决方案创新—客户/供应商/政府参与—企业升级”的一个整合研究框架,为数字服务化未来研究提供借鉴与启示。展开更多
目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性...目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性研究中的应用状况。结果:共纳入22篇文献,其中17篇文献基于TDF制定访谈提纲;数据分析方面,11篇文献采用了TDF应用指南推荐的两阶段式数据分析方法,4篇文献采用了定向内容分析法,2篇文献采用了框架分析法;质量控制方面,18篇文献使用了NVIVO软件或其他定性分析软件辅助进行数据管理与分析,3篇文献计算了一致性系数,2篇文献使用了三角测量技术,6篇文献确定了理论领域相关性。结论:TDF可以用于指导质性研究设计,解决实施中的行为改变问题,促进临床循证护理工作的实施。展开更多
文摘[Objective]Under the combined impact of climate change and urbanization,urban rainstorm flood disasters occur frequently,seriously restricting urban safety and sustainable development.Relying on traditional grey infrastructure such as pipe networks for urban stormwater management is not enough to deal with urban rainstorm flood disasters under extreme rainfall events.The integration of green,grey and blue systems(GGB-integrated system)is gradually gaining recognition in the field of global flood prevention.It is necessary to further clarify the connotation,technical and engineering implementation strategies of the GGB-integrated system,to provide support for the resilient city construction.[Methods]Through literature retrieval and analysis,the relevant research and progress related to the layout optimization and joint scheduling optimization of the GGBintegrated system were systematically reviewed.In response to existing limitations and future engineering application requirements,key supporting technologies including the utilization of overground emergency storage spaces,safety protection of underground important infrastructure and multi-departmental collaboration,were proposed.A layout optimization framework and a joint scheduling framework for the GGB-integrated system were also developed.[Results]Current research on layout optimization predominantly focuses on the integration of green system and grey system,with relatively fewer studies incorporating blue system infrastructure into the optimization process.Moreover,these studies tend to be on a smaller scale with simpler scenarios,which do not fully capture the complexity of real-world systems.Additionally,optimization objective tend to prioritize environmental and economic goals,while social and ecological factors are less frequently considered.Current research on joint scheduling optimization is often limited to small-scale plots,with insufficient attention paid to the entire system.There is a deficiency in method for real-time,automated determination of optimal control strategies for combinations of multiple system facilities based on actual rainfall-runoff processes.Additionally,the application of emergency facilities during extreme conditions is not sufficiently addressed.Furthermore,both layout optimization and joint scheduling optimization lack consideration of the mute feed effect of flood and waterlogging in urban,watershed and regional scales.[Conclusion]Future research needs to improve the theoretical framework for layout optimization and joint scheduling optimization of GGB-integrated system.Through the comprehensive application of the Internet of things,artificial intelligence,coupling model development,multi-scale analysis,multi-scenario simulation,and the establishment of multi-departmental collaboration mechanisms,it can enhance the flood resilience of urban areas in response to rainfall events of varying intensities,particularly extreme rainfall events.
文摘数字服务化是制造企业高质量发展的关键战略。然而,数字服务化文献呈零散状态,亟须明晰内涵、梳理脉络、识别未来方向和探索整合研究框架。本文按照内涵解析—研究演进—框架构建的逻辑,分析来源于Web of Science的数字服务化领域(2009—2022年)的227篇英文文献。研究发现:从内涵发展看,数字服务化尚未有统一界定,但可识别其内涵核心要素;从研究热点与理论演进看,数字服务化研究从关注ICT技术对企业服务创新的重要作用到剖析数字化在服务化中的作用,再到强调服务生态系统对数字服务化的重要性,理论视角从商业模式理论、价值共创理论向服务主导逻辑、服务生态系统视角演进;从研究主题看,现有研究主要围绕数字服务化情境、能力、模式、连结及结果五大主题。本文据此构建起“大数据分析能力—模块化解决方案创新—客户/供应商/政府参与—企业升级”的一个整合研究框架,为数字服务化未来研究提供借鉴与启示。
文摘目的:探讨理论域框架(TDF)在质性研究中的应用。方法:系统检索中国知网、万方数据知识服务平台、PubMed及Web of Science中使用TDF探讨临床护理行为发生及改变影响因素的相关质性研究,采用描述性分析方法对结果进行整合,分析TDF在质性研究中的应用状况。结果:共纳入22篇文献,其中17篇文献基于TDF制定访谈提纲;数据分析方面,11篇文献采用了TDF应用指南推荐的两阶段式数据分析方法,4篇文献采用了定向内容分析法,2篇文献采用了框架分析法;质量控制方面,18篇文献使用了NVIVO软件或其他定性分析软件辅助进行数据管理与分析,3篇文献计算了一致性系数,2篇文献使用了三角测量技术,6篇文献确定了理论领域相关性。结论:TDF可以用于指导质性研究设计,解决实施中的行为改变问题,促进临床循证护理工作的实施。
