Featured Paper
SCI: Huang, Yongming., Chen, Mingze*,. Xiamengwei, Zhang., Ryosuke, Shimoda., Ruochen, Yang. Multi-Scale Street Vitality Analytics: A Comprehensive Review of Technologies, Data, and Applications. Buildings 2025 | https://doi.org/10.3390/buildings15213987
Street vitality is an important indicator of urban attractiveness and sustainable development, and it has become a central topic in contemporary urban planning and research. Using the PRISMA methodology, this review systematically examines four major technologies including machine learning (ML), space syntax, GPS, and sensors, together with six categories of data that are commonly used in street vitality studies. The analysis traces the methodological development of these approaches and identifies application trends across both macro and micro spatial scales. ML has become the leading technology in this field, showing strong performance in dynamic modeling, pattern recognition, and the integration of multiple data sources. GPS provides high temporal accuracy for tracking mobility and identifying spatiotemporal dynamics. UAVs and sensor networks make it possible to observe environmental and behavioral responses in real time. When combined, these technologies support four main research themes: the built environment and vitality, pedestrian mobility and urban dynamics, spatial and visual characterization, and social interaction. Other complementary data sources, including social media, online maps, surveys, and government statistics, expand analytical coverage and improve contextual interpretation across different spatial and cultural settings. The review emphasizes the need to connect advanced technologies and diverse data sources with broader concerns of governance, ethics, and civic participation, while maintaining a focus on methodological and data-based synthesis. By clarifying the technological pathways and data foundations of street vitality research, this study provides a structured reference for researchers, urban designers, and policymakers who aim to develop evidence-based and socially responsive frameworks for urban space evaluation and planning.
Peer-reviewed Articles
6. SCI: Huang, Yongming., Chen, Mingze,. Xiamengwei, Zhang., Ryosuke, Shimoda., Ruochen, Yang*. Multi-Scale Street Vitality Analytics: A Comprehensive Review of Technologies, Data, and Applications. Buildings 2025 | https://doi.org/10.3390/buildings15213987 [donwload]
5. SCI: Huang, Yongming., Jiani, Du., Chen, Mingze*., Yuxuan, Lin., Shaopo, Huang., Yuxuan, Cai. Evaluating the spatial-temporal impact of urban nature on urban vitality in Vancouver: A social media and GPS data approach Land use policy 2025 | https://doi.org/10.1016/j.landusepol.2025.107824 [donwload]
4. SCI: Zang, Xiamengwei., Chen, Mingze*,. Huang, Yongming. Who gets to use the street? Evaluate the utilization and inclusiveness using crowdsourced videos and vision-language models Sustainable Cities and Society 2025 | https://doi.org/10.1016/j.scs.2025.106906 [donwload]
3. SCI: Cai, Yuxuan+., Huang, Yongming+., Chen, Anzhi., Yang, Zhuohao., Chen, Mingze,. Wen, Yuhan., Yang, Qiuyi., Li, Xiaowei*. Subjective Perception or the Physical Environment: Which Matters More for Public Area Visitation Thresholds Across Different COVID-19 Pandemic Stages? Urban Forestry & Urban Greening 2025 | https://doi.org/10.1016/j.ufug.2025.128835 [donwload]
2. SCI: Wang, Zhanzhu., Shen, Maoting., Huang, Yongming*.Combining Eye-Tracking Technology and Subjective Evaluation to Determine Building Facade Color Combinations and Visual Quality. Applied Sciences 2024 | https://doi.org/10.3390/app14188227 [donwload]
1. SCI: Wang, Zhanzhu., Shen, Maoting., Huang, Yongming*. Exploring the Impact of Facade Color Elements on Visual Comfort in Old Residential Buildings in Shanghai: Insights from Eye-Tracking Technology. Buildings 2024 | https://doi.org/10.3390/buildings14061758 [donwload]
Reviewer of Journal Manuscripts
Sustainable Cities and Society | Plos one | Heritage Science
Conference
2024
3. Chen, Mingze., Huang, Yongming*., Zheng, Yuqiao., Du, Jiani. Defining Urban Vitality Using Text-based, Image-based, and GPS Data | 2024 ACSP (Association of Collegiate Schools of Planning) Conference Abstract (Accepted)
2. Chen, Mingze., Huang, Yongming*., Zheng, Yuqiao., Du, Jiani. Evaluating Urban Vitality with Big Data across 10 Global Cities | 2024 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
1. Chen, Mingze., Huang, Yongming*., Zheng, Yuqiao., Du, Jiani. Evaluating Urban Vitality with Big Data: Insights from Social Media and GPS Data across 10 Global Cities | 2024 EDRA (Environmental Design Research Association) Conference Abstract (Accepted)