Pedestrian-friendly cities are a recent global trend due to the various urbanization problems. Since humans are greatly influenced by sight while walking, this study identified the physical and visual characteristics of the street environment that affect pedestrian satisfaction. In this study, vast amounts of visual data were collected and analyzed using computer vision techniques. Furthermore, these data were analyzed through a machine learning prediction model and SHAP algorithm. As a result, every visual feature of the streetscape, for example, the visible area and urban design quality, had a greater effect on pedestrian satisfaction than any physical features. Therefore, to build a street with high pedestrian satisfaction, the perspective of pedestrians must be considered, and wide sidewalks, fewer lanes, and the proper arrangement of street furniture are required. In conclusion, visually, low enclosure, adequate complexity, and large green areas combine to create a highly satisfying pedestrian walkway. Through this study, we could suggest an approach from a visual perspective for the pedestrian environment of the street and see the possibility of using computer vision techniques.

This study examines commercial gentrification, focusing on areas where commercial gentrification occurred or was expected to occur in Seoul, Korea. To identify the general phases of commercial gentrification, we used data collected from January 2015 to January 2019 by cluster analysis. Cluster analysis was conducted with a ratio of terms including “birth”, “replacement”, and “vacancy”, and characteristics including the “homogenization index”, “chain stores”, “vitalization”, and the “front width of stores” were applied. The contributions of this study are as follows. Three clusters were formed and supplemented according to differing types of industry change. Cluster 1 represents a stage where commerce has begun to penetrate residential areas, and it can be seen that gentrification has just started. Cluster 2 is more commercialized than Cluster 1, but characteristics remain in the vicinity of neighborhood commercial facilities. Cluster 3 describes a phase of full vitalization, characterized by franchise stores. The implications of this study are as follows. Commercial gentrification is proven to have distinctly different stages of commercial characterization that can be interpreted and observed sequentially, thereby requiring a differentiated approach to commercial gentrification by phase.

Creating a sustainable urban space should allow everyone to benefit from urbanization regardless of their ability. Spatial equity is one of the significant factors of sustainability. Several studies have explored pedestrian accessibility and spatial equity, but few researchers have addressed daily retail activities. This study aimed to examine the equity of pedestrian accessibility to neighborhood retail and service (NRS) establishments in Seoul, Korea. Accessibility of NRSs was measured by pedestrian direction API and spatially clustered by local indicators of spatial association (LISA). Equity was examined using the Mann–Whitney U test to test the difference between socioeconomic and built environment variables between high and low accessibility areas. We found that vulnerable groups favored access to the NRSs over more affluent groups. This study’s results suggest that urban planners and designers should contemplate ways to enhance the walkability of the residents and continually monitor accessibility to prevent urban problems, such as food deserts and retail deserts. Additionally, the results provide empirical evidence for achieving equity in urban development and urban retail systems to further enhance sustainability.