Research on Landscape Enhancement Design of Street-Facing Façades and Adjacent Public Spaces in Old Residential Areas: A Commercial Activity Optimization Approach
Abstract
1. Introduction
- (1)
- Is it feasible to open the boundaries of old residential areas?
- (2)
- Does the commercialization of street-facing façades in old residential areas interfere with the functionality and accessibility of urban sidewalks?
- (3)
- How can the commercial development of street-facing surfaces and the improvement of urban sidewalk landscapes be synergistically advanced?
2. Research Framework
3. Research Area and Methods
3.1. Research Area
3.2. Research Methods
3.2.1. Spatial Surveying
3.2.2. Activity Record
- (1)
- Definition of observation points. Guided by the existing street conditions and business type distribution patterns, this study selected four key observation points centered on bus stops, courier stations, street-corner retail outlets, and fast-food restaurants. For the convenience of later analysis, we have respectively encoded the observation points as P1–P4. These locations collectively encompassed 90% of the road segments and commercial establishments, represent all business categories, and specifically target potential conflict zones identified during the preliminary research phase. The spatial layout of these observation points is illustrated in Figure 4.
- (2)
- Recording period. To comprehensively capture the characteristics of commercial activities and urban public activities across different time periods, this study selected 16 December 2024 (Sunday) and 18 December 2024 (Wednesday) as observation dates, representing weekend and weekday activity patterns respectively. The recording period was set from 8:00 to 19:00, based on winter sunrise and sunset patterns in Chengdu and activity timeframes identified during the preliminary research phase. Commercial and public activities outside this timeframe were minimal, making it unsuitable for analyzing the interactions and potential conflicts between these two types of activities.
- (3)
- Recording method. This study involved four researchers conducting on-site activity documentation. First, smartphone mounts were installed at each observation point to ensure stable positioning and consistent angles for photographic recording. Subsequently, the research team captured images of the streets and street-facing façades of old residential communities from designated locations, completed on-site observation forms, and systematically recorded key information including the number and demographic distribution of people present, types of commercial activities, spatial disturbances, and spatial demands during each interval. Data were collected at 30-min intervals, resulting in a total of 23 sets of image and observational data.
- (4)
- Data organization. First, the street-view images were encoded and categorized into two groups following the methodological framework established by Wen and Sun. Subsequently, folders labeled P1 through P4 were created in sequential order, and the corresponding images were systematically organized within each folder according to the time sequence from 8:00 to 19:00, resulting in a structured and comprehensive data package for subsequent analysis. The time-slice photography method was applied to compile 23 images captured at the same observation point throughout the day, enabling a visual representation of the characteristics and temporal dynamics of commercial and urban public activities. Additionally, the point cluster time series method was utilized to annotate human activity patterns across different time periods on a two-dimensional map. This approach facilitated the identification of spatial conflicts between commercial and public activities during specific periods, thereby offering data-driven insights for subsequent spatial design interventions.
3.2.3. Space Design
4. Results
4.1. Spatial Form of the Street Frontage of Old Residential Areas and Urban Streets
4.2. Activity Patterns of Different Age Groups at Different Times
4.3. Spatial Adaptation and Spatial Interference
4.3.1. Complementary Business Hours
4.3.2. Off-Peak Operating Hours
4.3.3. The Queue Was Very Crowded
5. Discussion
5.1. Channeling: Spatial Segregation of Passing Traffic and Waiting Crowds
5.2. Optimization: Spatial Experience for Visitors and Diners
5.3. Suitable: Spatial Coordination of Shopping and Service Populations
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Gui, Y.; Gu, M.; Kong, S.; Lin, L. Research on Landscape Enhancement Design of Street-Facing Façades and Adjacent Public Spaces in Old Residential Areas: A Commercial Activity Optimization Approach. Buildings 2026, 16, 361. https://doi.org/10.3390/buildings16020361
Gui Y, Gu M, Kong S, Lin L. Research on Landscape Enhancement Design of Street-Facing Façades and Adjacent Public Spaces in Old Residential Areas: A Commercial Activity Optimization Approach. Buildings. 2026; 16(2):361. https://doi.org/10.3390/buildings16020361
Chicago/Turabian StyleGui, Yan, Mengjia Gu, Suoyi Kong, and Likai Lin. 2026. "Research on Landscape Enhancement Design of Street-Facing Façades and Adjacent Public Spaces in Old Residential Areas: A Commercial Activity Optimization Approach" Buildings 16, no. 2: 361. https://doi.org/10.3390/buildings16020361
APA StyleGui, Y., Gu, M., Kong, S., & Lin, L. (2026). Research on Landscape Enhancement Design of Street-Facing Façades and Adjacent Public Spaces in Old Residential Areas: A Commercial Activity Optimization Approach. Buildings, 16(2), 361. https://doi.org/10.3390/buildings16020361
