Street is an important place of urban social and economic life and the highest point of urban vitality.Under the current environment infl uenced by many factors,the vitality of urban streets is not high,among which di...Street is an important place of urban social and economic life and the highest point of urban vitality.Under the current environment infl uenced by many factors,the vitality of urban streets is not high,among which dilapidated street landscape is one of the important factors.Therefore,based on the infl uence of urban street landscape on the vitality of urban streets,store signboard of street landscape is selected as the starting point to analyze the chaos of outdoor store signboards in Ximazhuang Street of Nanchang City,and reasonable design and control strategies for outdoor store signboards in commercial streets are put forward by drawing on advanced experience of other countries or regions.展开更多
As the basic unit of urban system,street is not only an important traffi c link in the city,but also an important carrier refl ecting urban life.As one of the public spaces in the city,streets provide places for vario...As the basic unit of urban system,street is not only an important traffi c link in the city,but also an important carrier refl ecting urban life.As one of the public spaces in the city,streets provide places for various outdoor activities,such as leisure,shopping,social contact and commercial publicity.The number of people and the duration that people stay in the streets for various activities constitute the vitality of streets.The vitality of streets can also be regarded as the vitality of cities to a certain extent.As one of the key infl uencing factors of street vitality,street traffi c accessibility has important research value.Based on the perspective of street traffi c accessibility,the dynamic factors affecting life streets are explored,and the design method of shaping street vitality is discussed through the analysis of practical cases in Nanchang City.展开更多
From the perspective of continuous perception and interaction between people and street–sideinterface,the relationship between continuity of street–side interface and street vitality is discussed in thepaper.Taking ...From the perspective of continuous perception and interaction between people and street–sideinterface,the relationship between continuity of street–side interface and street vitality is discussed in thepaper.Taking Minde Road in Nanchang City as an example,the continuity of the interface of Minde Roadis analyzed from the two elements of architectural interface and environmental interface,and the infl uenceof street interface continuity on behavior psychology and activities of people in the street is studied.Themethod of reforming and utilizing street–side interface and enhancing continuity of street–side interface isput forward to realize the improvement of street vitality.展开更多
As a well-known urban landscape concept to describe urban space quality,urban street vitality is a subjective human perception of the urban environment but difficult to evaluate directly from the physical space.The st...As a well-known urban landscape concept to describe urban space quality,urban street vitality is a subjective human perception of the urban environment but difficult to evaluate directly from the physical space.The study utilized a modern machine learning computer vision algorithm in the urban build environment to simulate the process,which starts with the visual perception of the urban street landscape and ends with the human reaction to street vitality.By analyzing the optimized trained model,we tried to identify urban street vitality’s visual features and evaluate their importance.A region around the Mochou Lake in Nanjing,China,was set as our study area.Seven investigators surveyed the area,recorded their evaluation score on each site’s vitality level with a corresponding picture taken on site.A total of 370 pictures and recorded score pairs from 231 valid survey sites were used to train a convolutional neural network.After optimization,a deep neural network model with 43 layers,including 11 convolutional ones,was created.Heat maps were then used to identify the features which lead to high vitality score outputs.The spatial distributions of different types of feature entities were also analyzed to help identify the spatial effects.The study found that visual features,including human,construction site,shop front,and roadside/walking pavement,are vital ones that correspond to the vitality of the urban street.The consistency of these critical features with traditional urban vitality features indicates the model had learned useful knowledge from the training process.Applying the trained model in urban planning practices can help to improve the city environment for better attraction of residents’activities and communications.展开更多
文摘Street is an important place of urban social and economic life and the highest point of urban vitality.Under the current environment infl uenced by many factors,the vitality of urban streets is not high,among which dilapidated street landscape is one of the important factors.Therefore,based on the infl uence of urban street landscape on the vitality of urban streets,store signboard of street landscape is selected as the starting point to analyze the chaos of outdoor store signboards in Ximazhuang Street of Nanchang City,and reasonable design and control strategies for outdoor store signboards in commercial streets are put forward by drawing on advanced experience of other countries or regions.
文摘As the basic unit of urban system,street is not only an important traffi c link in the city,but also an important carrier refl ecting urban life.As one of the public spaces in the city,streets provide places for various outdoor activities,such as leisure,shopping,social contact and commercial publicity.The number of people and the duration that people stay in the streets for various activities constitute the vitality of streets.The vitality of streets can also be regarded as the vitality of cities to a certain extent.As one of the key infl uencing factors of street vitality,street traffi c accessibility has important research value.Based on the perspective of street traffi c accessibility,the dynamic factors affecting life streets are explored,and the design method of shaping street vitality is discussed through the analysis of practical cases in Nanchang City.
文摘From the perspective of continuous perception and interaction between people and street–sideinterface,the relationship between continuity of street–side interface and street vitality is discussed in thepaper.Taking Minde Road in Nanchang City as an example,the continuity of the interface of Minde Roadis analyzed from the two elements of architectural interface and environmental interface,and the infl uenceof street interface continuity on behavior psychology and activities of people in the street is studied.Themethod of reforming and utilizing street–side interface and enhancing continuity of street–side interface isput forward to realize the improvement of street vitality.
基金This work was supported by the China Scholarship Council[grant number 201706195004]the National Natural Science Foundation of China[grant numbers 41001093 and 51778278]the Social Science Foundation of Jiangsu Province,China[grant number 18GLB014].
文摘As a well-known urban landscape concept to describe urban space quality,urban street vitality is a subjective human perception of the urban environment but difficult to evaluate directly from the physical space.The study utilized a modern machine learning computer vision algorithm in the urban build environment to simulate the process,which starts with the visual perception of the urban street landscape and ends with the human reaction to street vitality.By analyzing the optimized trained model,we tried to identify urban street vitality’s visual features and evaluate their importance.A region around the Mochou Lake in Nanjing,China,was set as our study area.Seven investigators surveyed the area,recorded their evaluation score on each site’s vitality level with a corresponding picture taken on site.A total of 370 pictures and recorded score pairs from 231 valid survey sites were used to train a convolutional neural network.After optimization,a deep neural network model with 43 layers,including 11 convolutional ones,was created.Heat maps were then used to identify the features which lead to high vitality score outputs.The spatial distributions of different types of feature entities were also analyzed to help identify the spatial effects.The study found that visual features,including human,construction site,shop front,and roadside/walking pavement,are vital ones that correspond to the vitality of the urban street.The consistency of these critical features with traditional urban vitality features indicates the model had learned useful knowledge from the training process.Applying the trained model in urban planning practices can help to improve the city environment for better attraction of residents’activities and communications.
