目的构建具有山东特色的健康城市指数,实现健康城市的可持续发展。方法采用山东多中心健康大数据队列和多来源社会经济发展数据,通过循证证据筛选城市的决定因素和指标,基于“驱动力-压力-状态-暴露-影响-响应”(driving-force-pressure...目的构建具有山东特色的健康城市指数,实现健康城市的可持续发展。方法采用山东多中心健康大数据队列和多来源社会经济发展数据,通过循证证据筛选城市的决定因素和指标,基于“驱动力-压力-状态-暴露-影响-响应”(driving-force-pressure-state-exposure-effect-action,DPSEEA)概念框架梳理健康城市指标,并基于验证性因子分析法建立健康城市指标体系。采用熵权-逼近理想解(technique for order preference by similarity to ideal solution,TOPSIS)方法,计算山东省2018年各个城市健康城市得分。结果在健康医疗大数据的基础上,经循证证据筛选和验证性因子分析,最终确定6个维度,30个指标。熵权-TOPSIS的结果表明,健康服务的权重最大(0.305),健康人群的权重最小(0.037)。山东省健康城市指数分析显示,山东省健康城市水平低于虚拟健康标准城市,但山东省内部之间差异不大。结论DPSEEA结合循证医学可以指导健康城市指标体系的构建。展开更多
Objectively, a complex interactive coercing relationship exists between urbanization and eco-environment, and the research of this relationship is primarily divided into three schools, i.e., interactive coercion theor...Objectively, a complex interactive coercing relationship exists between urbanization and eco-environment, and the research of this relationship is primarily divided into three schools, i.e., interactive coercion theory, interactive promotion theory and coupling symbiosis theory. Harmonizing the relationship between urbanization and eco-environment is not only an important proposition for the national development plan but also the only way to promote healthy urbanization. Based on an analysis of urbanization process and its relationship with the eco-environment, this article analyzes interactive coercing effects between urbanization and eco-environment from three perspectives of population urbanization, economic urbanization and spatial urbanization, respectively, and analyzes risk effects of the interactive coercion. Further, it shows six basic laws followed by interactive coercion between urbanization and eco-environment, namely, coupling fission law, dynamic hierarchy law, stochastic fluctuation law, non-linear synergetic law, threshold value law and forewarning law, and divides the interactive coercing process into five stages, namely, low-level coordinate, antagonistic, break-in, ameliorative and high-grade coordinate. Based on the geometric derivation, the interactive coercing relationship between urbanization and eco-environment is judged to be non-linear and it can be explained by a double-exponential function formed by the combination of power and exponential functions. Then, the evolutionary types of the interactive coercing relationship are divided into nine ones: rudimentary coordinating, ecology-dominated, synchronal coordinating, urbanization lagging, stepwise break-in, exorbitant urbanization, fragile ecology, rudimentary break-in and unsustainable types. Finally, based on an interactive coercion model, the degree of interactive coercion can be examined, and then, an evolutionary cycle can be divided into four phases, namely rudimentary symbiosis, harmonious development, utmost increasing and spiral type rising. The study results offer a scientific decision-making of healthy urbanization for achieving the goal of eco-environment protection and promoting urbanization.展开更多
文摘目的构建具有山东特色的健康城市指数,实现健康城市的可持续发展。方法采用山东多中心健康大数据队列和多来源社会经济发展数据,通过循证证据筛选城市的决定因素和指标,基于“驱动力-压力-状态-暴露-影响-响应”(driving-force-pressure-state-exposure-effect-action,DPSEEA)概念框架梳理健康城市指标,并基于验证性因子分析法建立健康城市指标体系。采用熵权-逼近理想解(technique for order preference by similarity to ideal solution,TOPSIS)方法,计算山东省2018年各个城市健康城市得分。结果在健康医疗大数据的基础上,经循证证据筛选和验证性因子分析,最终确定6个维度,30个指标。熵权-TOPSIS的结果表明,健康服务的权重最大(0.305),健康人群的权重最小(0.037)。山东省健康城市指数分析显示,山东省健康城市水平低于虚拟健康标准城市,但山东省内部之间差异不大。结论DPSEEA结合循证医学可以指导健康城市指标体系的构建。
基金Under the auspices of Key Project of National Natural Science Foundation of China (No. 40335049),National Natural Science Foundation of China (No. 40971101)
文摘Objectively, a complex interactive coercing relationship exists between urbanization and eco-environment, and the research of this relationship is primarily divided into three schools, i.e., interactive coercion theory, interactive promotion theory and coupling symbiosis theory. Harmonizing the relationship between urbanization and eco-environment is not only an important proposition for the national development plan but also the only way to promote healthy urbanization. Based on an analysis of urbanization process and its relationship with the eco-environment, this article analyzes interactive coercing effects between urbanization and eco-environment from three perspectives of population urbanization, economic urbanization and spatial urbanization, respectively, and analyzes risk effects of the interactive coercion. Further, it shows six basic laws followed by interactive coercion between urbanization and eco-environment, namely, coupling fission law, dynamic hierarchy law, stochastic fluctuation law, non-linear synergetic law, threshold value law and forewarning law, and divides the interactive coercing process into five stages, namely, low-level coordinate, antagonistic, break-in, ameliorative and high-grade coordinate. Based on the geometric derivation, the interactive coercing relationship between urbanization and eco-environment is judged to be non-linear and it can be explained by a double-exponential function formed by the combination of power and exponential functions. Then, the evolutionary types of the interactive coercing relationship are divided into nine ones: rudimentary coordinating, ecology-dominated, synchronal coordinating, urbanization lagging, stepwise break-in, exorbitant urbanization, fragile ecology, rudimentary break-in and unsustainable types. Finally, based on an interactive coercion model, the degree of interactive coercion can be examined, and then, an evolutionary cycle can be divided into four phases, namely rudimentary symbiosis, harmonious development, utmost increasing and spiral type rising. The study results offer a scientific decision-making of healthy urbanization for achieving the goal of eco-environment protection and promoting urbanization.
