Capturing the Footsteps of Mobility
A Machine Learning-Based Study on the Relationship Between Streetscape and Consumption Vitality
Datos Bibliográficos
| ID | 22032101 |
|---|---|
| Autores | Yiming Hou (0000-0002-9720-8478, Shandong Normal University), Xiaoqing Zhang (0000-0001-9941-3558, Shandong Normal University, autor de correspondencia), Jia Jia (0000-0002-9515-6897, Shandong Normal University) |
| Año | 2025 |
| Volumen | 14 |
| Número | 11 |
| Páginas | 422 |
| Fecha de publicación | 2025-10-29 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | ISPRS International Journal of Geo-Information (JOURNAL) |
| Identificadores de la revista | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Editorial | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi14110422 |
| OpenAlex | W4415680280 |
| Idioma | EN |
| Referencias citadas | 51 |
Urban streets serve as essential spaces for commercial activities and social interaction, yet the mechanisms through which their landscape elements influence consumption vitality remain insufficiently explored. Focusing on Lixia District, Jinan, China, this study integrates street-view image semantic segmentation with machine learning techniques to capture the nonlinear interactions between streetscape features and consumption vitality, thereby establishing an analytical framework for examining their associations. The results show that: (1) pedestrian-friendly facilities are significantly associated with higher street-level consumption vitality, with benches and streetlights showing marked effects once their visual proportions exceed 10% and 12%, respectively; (2) the visual proportion of parking space becomes positively associated with consumption vitality when exceeding 0.15, whereas carriageway proportion shows an overall negative association; (3) the marginal effect of advertising density gradually diminishes, with billboard visibility ratios above 25% exhibiting saturated impacts; (4) when green-view visibility exceeds 30%, consumption vitality increases substantially, peaking within the 35–40% range; (5) potential synergies or trade-offs exist among streetscape elements—compared with individual factors, the combinations of benches and parking spaces, benches and billboards, as well as parking spaces and billboards, are associated with higher street-level consumption vitality. In contrast, combinations involving a larger sky view ratio are often linked to lower consumption vitality, suggesting that overly open spaces may weaken consumer attractiveness. This study not only extends the methodological toolkit for analyzing consumption vitality but also provides theoretical and practical guidance for the refined design and experiential construction of urban street environments
GLARE · Marginal utility · Visibility · Vitality · Consumer Retail Behavior Studies · Urban Design and Spatial Analysis · Urban Green Space and Health
The coefficient of determination R-squared is more informative than SMAPE, MAE, Mape, MSE and RMSE in regression analysis evaluation
Collinearity
The role of nature in the context of the workplace
Exploring the Correlation between Streetscape and Economic Vitality Using Machine Learning
Which architectural style makes an attractive street scape? Aesthetic preferences among city centre managers
Measuring the Built Environment with Google Street View and Machine Learning
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning
Classification of urban morphology with deep learning
Nonlinear and threshold effects of the built environment, road vehicles and air pollution on urban vitality
Street view imagery in urban analytics and GIS
Investigating the effects of urban morphology on vitality of community life circles using machine learning and geospatial approaches
Nonlinear relationships and interaction effects of an urban environment on crime incidence
Identification of 71 factors influencing urban vitality and examination of their spatial dependence
Exploring the association between street built environment and street vitality using deep learning methods
Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China
Cities and the Creative Class
Objective scoring of streetscape walkability related to leisure walking
Streetscape and business survival
What matters in the e-commerce era? Modelling and mapping shop rents in Guangzhou, China
The six dimensions of built environment on urban vitality
The impact of transportation on commercial activities
Consumer streets
| Velocidad de citación | historical |
|---|---|
| Altamente citado | No |