Exploring the Relationship between Streetscape Characteristics and Walkability Based on Human-Machine Confrontation Model
There still needs more research on the relationship between street landscape elements and street walkability.Combining Maslow's hierarchy of needs theory and the'walkability hierarchy'model,safety,comfort,sociability,and aesthetics were selected as indicators to establish a street scene feature evaluation index.Through methods such as collecting data with the lnsta360 ONE X2 panoramic camera,image semantic segmentation,adversarial model scoring,and SPSS analysis(Pearson correlation analysis,multiple linear regression analysis),the relationship between street scene features and walkability was studied.The results show that the four types of street scene features are all correlated with walkability,with the green view rate in terms of comfort having the most significant impact on street walkability.Based on the results of the analysis,street spaces can be optimized for walkability from the perspective of safety,comfort,sociability,and aesthetics of street scene features,such as suggesting the addition of fences or green belts,and integrating signage.
Street view imageSemantic segmentationMan-machine confrontationStreetscape feature evaluation
NETL
NSTL
万方数据
维普
