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Construction of Regional Economic Vitality Model
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作者 Dan Zhao Zhi Zhao Zening Chen 《Journal of Economic Science Research》 2020年第2期19-23,共5页
Regional economic vitality reflects the scale and development potential of a region’s economy.It largely determines the development of the city,and is also affected by many factors such as population competitiveness,... Regional economic vitality reflects the scale and development potential of a region’s economy.It largely determines the development of the city,and is also affected by many factors such as population competitiveness,corporate competitiveness,market vitality,innovation vitality,and environmental vitality.A pilot model was constructed with Hebei Province as the inspection area.Quantitative measurement of regional economic vitality was made by finding 21 indicators that indirectly or indirectly affect the economic vitality of Hebei Province.By analyzing the data of 21 indicators for nearly 10 years,the time series clustering is used to achieve the dimensionality reduction of the indicators.After the dimension reduction,it is divided into four categories:overall scale,development potential,market vitality,and innovation vitality.Construct the economic vitality structure model of Hebei Province,and determine the four types of contribution to economic vitality and compare them.On this basis,more accurately grasp the indicators that affect economic vitality and work out reasonable and effective action plans.From the perspective of human resources and corporate vitality,analyze how the action plan accurately affects the economic vitality of Hebei Province[1].The 11 cities in Hebei Province are the target of regional economic vitality.The economic vitality structure model constructed uses the required contribution value to select priority indicators.Finally,the six indicators of GPD,GPD growth rate,fiscal revenue,fiscal revenue growth rate,number of industrial enterprises above designated size,and total profit of industrial enterprises above designated size were established for eleven cities in Hebei Province to construct a TOPSIS scoring model,and calculation rankings were conducted through MATLAB.Results The top three cities were Shijiazhuang,Tangshan and Cangzhou. 展开更多
关键词 Economic vitality structure model Time series clustering TOPSIS
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Vitality evaluation of the waterfront space in the ancient city of Suzhou 被引量:3
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作者 Yingxiang Niu Xiaoyan Mi Zhao Wang 《Frontiers of Architectural Research》 CSCD 2021年第4期729-740,共12页
With a history spanning thousands of years,the water system of Suzhou is an indispensable carrier of urban space and civil culture.Quantificational model analysis of the waterfront in the ancient city of Suzhou has si... With a history spanning thousands of years,the water system of Suzhou is an indispensable carrier of urban space and civil culture.Quantificational model analysis of the waterfront in the ancient city of Suzhou has significant implications for the future design of waterfront space and the establishment of an evaluation method to determine the vitality of such space.In this study,a vitality evaluation model was first constructed using river attributes,the spatial type of waterfront areas,vision accessibility,transportation accessibility,and combined new data extracted using spatial factor analysis.Second,a vitality evaluation matrix was established using the analytic hierarchy process to simulate the vitality of waterfront spaces.Third,a hash algorithm was employed to determine the fitting degree between the vitality model of Suzhou’s waterfront space and crowd activity.The different areas between them were found and then the factor evaluation process was adjusted on this basis of analyzing the causes.Thus,this study identified the factors influencing the vitality of Suzhou’s waterfront.Furthermore,this research constructed a model for evaluating the vitality of waterfront spaces.Finally,some guidelines were presented regarding the design and implementation of waterfront spaces in urban design. 展开更多
关键词 Waterfront space Influence factor vitality evaluation model Crowd activity Hash algorithm
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