During the process of urbanization,community environments encounter challenges such as data disconnection and the underutilization of small and micro spaces.The establishment of“complete communities”necessitates the...During the process of urbanization,community environments encounter challenges such as data disconnection and the underutilization of small and micro spaces.The establishment of“complete communities”necessitates the implementation of refined governance strategies.This research develops a path for the precise establishment of community micro-gardens driven by mobile measurement.It involves the collection of environmental data via mobile devices equipped with various types of sensors,the generation of visualization maps that are adjusted for spatio-temporal synchronization,and the identification of environmental paint points,including areas of excessive temperature exposure and zones with elevated noise levels.Based on the aforementioned considerations,various plant allocation strategies have been proposed for distinct areas.For instance,the implementation of a composite shade and cooling vegetation system is recommended for regions experiencing high temperatures,while a triple protection structure is suggested for areas affected by odor contamination.The efficacy of these strategies is demonstrated through a case study of the micro-garden transformation in the Dongjie Community of Wulituo Street,Shijingshan,Beijing.The study presents operational technical pathways and plant response solutions aimed at facilitating data-driven governance of community micro-environments.展开更多
The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drive...The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drives innovation in manufacturing enterprises is of strategic significance.This work reviews domestic and foreign research from five aspects:product innovation,business model innovation,long-term competitiveness of enterprises,innovation ecosystem of enterprises,and industry upgrading.It summarizes the main forms and objects of data empowerment,analyzes the pathssand mechanisms of data empowerment,and creates a systematic research framework to explore the“black box”of data empowerment that drives manufacturing innovation.Such a framework provides theoretical references for the transformation and upgrading of China's manufacturing sector.Finally,future prospects are proposed to address the extant research gaps and to conduct more indepth research on innovation driven by data empowerment in the manufacturing sector.展开更多
文摘During the process of urbanization,community environments encounter challenges such as data disconnection and the underutilization of small and micro spaces.The establishment of“complete communities”necessitates the implementation of refined governance strategies.This research develops a path for the precise establishment of community micro-gardens driven by mobile measurement.It involves the collection of environmental data via mobile devices equipped with various types of sensors,the generation of visualization maps that are adjusted for spatio-temporal synchronization,and the identification of environmental paint points,including areas of excessive temperature exposure and zones with elevated noise levels.Based on the aforementioned considerations,various plant allocation strategies have been proposed for distinct areas.For instance,the implementation of a composite shade and cooling vegetation system is recommended for regions experiencing high temperatures,while a triple protection structure is suggested for areas affected by odor contamination.The efficacy of these strategies is demonstrated through a case study of the micro-garden transformation in the Dongjie Community of Wulituo Street,Shijingshan,Beijing.The study presents operational technical pathways and plant response solutions aimed at facilitating data-driven governance of community micro-environments.
基金supported by major project(No.21ZDA033)of the National Social Science Foundation of Chinaproject of the National Natural Science Foundation(No.72071104,71771118)+1 种基金Humanities and Social Sciences Fund Project of the Ministry of Education of China(No.18YJCZH146)key project of the Jiangsu Provincial Social Science Foundation(No.20GLA007).
文摘The development of data science provides new opportunities for innovation in Chinese manufacturing enterprises.As the manufacturing sector urgently needstransformation and upgrading,studying how data empowerment drives innovation in manufacturing enterprises is of strategic significance.This work reviews domestic and foreign research from five aspects:product innovation,business model innovation,long-term competitiveness of enterprises,innovation ecosystem of enterprises,and industry upgrading.It summarizes the main forms and objects of data empowerment,analyzes the pathssand mechanisms of data empowerment,and creates a systematic research framework to explore the“black box”of data empowerment that drives manufacturing innovation.Such a framework provides theoretical references for the transformation and upgrading of China's manufacturing sector.Finally,future prospects are proposed to address the extant research gaps and to conduct more indepth research on innovation driven by data empowerment in the manufacturing sector.
