Measuring Spatial Vitality and Its Influencing Factors in Traditional Neighborhoods Using Multi-source Data: A Case Study of Zhengzhou Xidajie
Xianglong Li *
School of Architecture, North China University of Water Resources and Electric Power, Zhengzhou-450046, China.
Guixiu Wang
School of Architecture, North China University of Water Resources and Electric Power, Zhengzhou-450046, China.
*Author to whom correspondence should be addressed.
Abstract
With the progress of urban development, the spatial quality of urban streets has become one of the key concerns. In view of the actual new needs of urban micro-renewal, this study takes the street accessibility, regional accessibility and other aspects, takes Zhengzhou West Street Area as a case study, extracts the elements of street space based on the street view image data, combines the artificial intelligence technology with the sDNA spatial accessibility grid analysis technology, and synthesises the classification and scientific analysis of the cutting-edge urban data such as the urban street walkability index system, and based on this, proposes the street vitality optimisation strategy for historical blocks. Based on this, we propose the optimisation strategy of street vitality in historic districts, and provide technical support for urban micro-renewal in terms of analysis and theory.
Keywords: Urban streets, multivariate data, sDNA, spatial accessibility