Featured Publications

SCI/SSCI: Chen, Mingze., Cai, Yuxuan., Guo, Shuying., Sun, Ruilin., Shen, Xiwei*. Evaluating implied urban nature vitality in San Francisco: An interdisciplinary approach combining census data, street view images, and social media analysis. Urban Forestry & Urban Greening 2024 | https://doi.org/10.1016/j.ufug.2024.128289 [download]

Urban green spaces (UGS) are vital in modern cities, offering extensive health, social, and environmental benefits. However, traditional research methods primarily focus on UGS distribution and aggregation through 2D mapping, often neglecting the quality and vitality of urban natural environments. This limited approach hampers our full understanding of the complex issues and opportunities surrounding UGS. This study proposes a novel concept of Implied Urban Nature Vitality (IUNV) and evaluation framework that offers a comprehensive lens to understand better and evaluate the manifold human-urban-nature interactions in modern cityscapes. Based on our IUNV framework, an interdisciplinary investigation is conducted to show the distribution and population-level perceived IUNV in San Francisco by leveraging a triad of data sources: census, street-built environment, and social media data. Utilizing census data, we analyze socio-economic influences on UGS distribution and IUNV, including factors such as education, age demographics, income, and ethnicity. Street view imagery (SVI), analyzed with advanced image recognition algorithms, serves as a proxy for visual and physical aspects of IUNV, highlighting features like trees, sky, buildings, and roads. This analysis paints a granular picture of UGS’s spatial distribution and physical attributes, facilitating an objective measure of IUNV. Subsequently, we analyze Flickr photos related to urban natural areas, examining their distribution and identifying thematic clusters that illuminate various aspects of UGS vitality. Lastly, we combine computer vision and manual review to define 12 IUNV themes from architecture and nature, eco-friendly gatherings, to cultural performance, exploring the relationship between the vitality clusters and the independent variables. The main findings are: (1) Macro-level factors (e.g., accessibility level, land use mix level, road density, population density, etc.) are the dominant variables influencing IUNV.; (2) Street view factors play key roles in IUNV. Through this holistic IUNV analysis, the study shed light on the complexities of urban green space planning and management, informing future urban development strategies towards greater vitality and, by extension, environmental and social sustainability.

Journal Articles

13. 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.
12. 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.
11. SCI/SSCI: Chen, Mingze., Cai, Yuxuan., Guo, Shuying., Sun, Ruilin., Shen, Xiwei*. Evaluating implied urban nature vitality in San Francisco: An interdisciplinary approach combining census data, street view images, and social media analysis. Urban Forestry & Urban Greening 2024 | https://doi.org/10.1016/j.ufug.2024.128289.
10. SCI/SSCI: Zhang, Kaiqi., Chen, Mingze*. Multi-method analysis of urban green space accessibility: Influences of land use, greenery types, and individual characteristics factors. Urban Forestry & Urban Greening  | https://doi.org/10.1016/j.ufug.2024.128366.
9. SCI: Shen, Xiwei., Chen, Mingze., Li, Xiaowei*., Yang, Qiuyi., Sun, Qingqing., Gao, Shu. Exploring A Geo-Design Framework to Strengthen Urban and Community Forestry for Climate Change Mitigation in London. Journal of  Forestry Research (Accepted)
8. SCI: He, Wei., Chen, Mingze*. Advancing Urban Life: A Systematic Review of Emerging Technologies and AI in Urban Design and Planning.  Buildings | https://doi.org/10.3390/buildings14030835.
7. SSCI: Priya Rajendran*., Raúl Leal., Chen, Mingze., Juan Carlos, Guerrero Andrade., Rakib, Akhtar., Lazaro, Eliyah Mngumi., Sheeba, Chander., Sudhan, Srinivas., Maria, Rinya Roy. The ‘Peri-Urban Turn’: A systems thinking approach for a paradigm shift in reconceptualising urban-rural futures in the global South. Habitat International 2024| https://doi.org/10.1016/j.habitatint.2024.103041.
6. SCI / SSCI: Ge, Mengting., Kong, Jie., Yang, Qiuyi., Chen, Mingze*., Wang, Wenji*. Examine an Intelligence Education Framework of Landscape Architecture (EFLA) Based on Network Model of Technology in Landscape Architecture (NMTLA). Sustainability 2023 | https://doi.org/10.3390/su151411277.
5. SCI: Qiao, Renlu, Zhiqaing Wu, Shuo Gao, Qingrui Jiang, Xiaochang Liu, Chenyu Huang, Li Xia, and Chen, Mingze. Towards inclusive underground public transportation: Gender differences on thermal comfort. Building and Environment 2023 Jul 5:110569. | https://doi.org/10.1016/j.buildenv.2023.110569.
4. SCI: Zhang, Yang., Li, Xiaowei., Jiang, Qingrui., Chen, Mingze*., Liu, Lunyuan*. Quantify the Spatial Association between the Distribution of Catering Business and Urban Spaces in London Using Catering POI Data and Image Segmentation. Atmosphere 2022, 13, 2128. | https://doi.org/10.3390/atmos13122128.
3. SCI: Wang, Ling., Ding, Jiahui.; Chen, Mingze., Sun, Yuan., Tang, Xueyun., Ge, Mengting*. Exploring Tourists’ Multilevel Spatial Cognition of Historical Town Based on Multi-Source Data—A Case Study of Feng Jing Ancient Town in Shanghai. Buildings 2022, 12, 1833. | https://doi.org/10.3390/buildings12111833.
2. SCI: Shen, Xiwei., Chen, Mingze*, Ge Mengting*, Padua, Mary G. Examining the Conceptual Model of Potential Urban Development Patch (PUDP), VOCs, and Food Culture in Urban Ecology: A Case in Chengdu, China. Atmosphere 2022, 13, 1369. | https://doi.org/10.3390/atmos13091369.
1. Chen, Mingze., Zhang, Yang., Yang, Yubing., Fang, Zhiguo. Application of data visualization in urban design based on Grasshopper, Landscape Architecture Academic Journal 2022, 39(5), 44-51. (in Chinese)| https://doi.org/10.12193/j.laing.2022.05.0044.006. 陈铭泽,张洋,杨玉冰,方智果.基于Grasshopper平台的数据可视化在城市设计中的研究与实践[J].园林,2022,39(05):44-51.

Conferences

2024 ——

• Chen, Mingze., Huang, Yongming., Zheng, Yuqiao., Du, Jiani., Park, Keunhyun. Defining Urban Vitality Using Text-based, Image-based, and GPS Data | 2024 ACSP (Association of Collegiate Schools of Planning) Individual Paper Presentation (Accepted)
  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)
• 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)
• Zhou, Xuanyu., Chen, Mingze. Using Sensor and Vision-Based Technologies to Examine the Quality Transformation of Green Space in Multi-Shrinking Cities | 2024 EDRA (Environmental Design Research Association) Conference Abstract (Accepted)
• Chen, Mingze., Park, Keunhyun. Sensor-based and vision-based technologies in monitoring human behaviours in natural areas: A scoping review| 2024 CELA (Council of Educators in Landscape Architecture) Conference Abstract (St. Louis, MI)
• Luo, Tianze., Chen, Mingze. Smart Canopies: Optimizing Tree Layouts for Enhanced Thermal Comfort — An Edinburgh Case Study| 2024 IUFRO (International Union of Forest Research Organizations) Conference Abstract (Accepted)
• Wang, Yuxi.,  Wang, Xinyi.,  Shen, Xiwei., Chen, Mingze. Unmasking Human Impact on Panda Habitats and Orchestrating Sustainable Forestry Futures: A systematic review| 2024 IUFRO (International Union of Forest Research Organizations) Conference Abstract (Accepted)
• Yuxuan Cai., Hongqian Li, Shuyao Dai. Multiscale Assessment of Urban Built Environment and Socio-Economic Determinants on Mental Health: A Comparative Analysis Based on Linear Models and XG-Boost | CAADRIA2024 (Abstract Accepted)
• Yuxuan Cai., Hongqian Li, Shuyao Dai. Burnout in the Built Environment: A Spatial Analysis of Emotional and Urban Elements Interaction-a case study in Shanghai | AN INTERNATIONAL CONFERENCE ON URBAN AFFAIRS 2024 (Abstract Accepted)

2023 ——

• Chen, Mingze., Liu, Yuxuan., Chadha, Trishla. A Comprehensive Model for Pedestrian-Scale Evaluation of Linear Greenery Visibility| 2023 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
• Yuxuan Cai., Hongqian Li, Shuyao Dai*. Multi-factors evaluation of the impact of the street-level on sexual crime occurrences using computer vision and big data – a case study of Manhattan | 35TH AESOP (Association of European schools of Planning) Annual Congress Full Paper Oral Report | Full paper(Accepted)
• Yuxuan Cai., Hongqian Li, WenXuan Cai, Minghao Xu. Multivariable Assessment of Urban Rooftop and Vertical Greening Impact on Urban Heat Island Based on Computer Vision Semantic Segmentation Modeling Framework – A Case Study of San Francisco | 2023 ECLAS Abstract (Accepted)
• Yuxuan Cai., Hongqian Li, Shuyao Dai*. Burnout in the Built Environment: A Spatial Analysis of Emotional and Urban Elements Interaction-a case study in Shanghai | 2023 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
• Xiwei Shen*, Grant Mosey, Yuxuan Cai, Mingze Chen. Advancing Environmental Design with Phytoremediation of Brownfield Soils Using Spontaneous Invasive Plants | INTERNATIONAL CONFERENCE ON POLLUTION CONTROL & SUSTAINABLE ENVIRONMENT Abstract (Accepted)
• Xiwei Shen*, Grant Mosey, Mingze Chen, Yuxuan Cai. A Model for Identifying Suitable Living Areas in London: Mitigating the Impacts of Urban Heat Island (UHI) on Public Health | 7th Advances in Geomatics Research Conference (Abstract Accepted)
• Xiwei Shen*, Grant Mosey, Mingze Chen, Yuxuan Cai. Post Occupancy Evaluation of the Urban Public Space through social media: a case study of Bryant Park, NY | The International Conference on Data Science, AI and Analytics: Bridging the Gap Between Theory and Practices (ICDSAIA-2023) Abstract (Accepted)
• Shen, Xiwei., Chen, Mingze. Examine an Intelligence Education Framework of Landscape Architecture (EFLA)| 2023 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
• Shen, Xiwei., Chen, Mingze. Examine an Intelligence Education Framework of Landscape Architecture (EFLA) Based on Network Model of Technology in Landscape Architecture (NMTLA) in 21st Century | 2023 ECLAS (European Council of Landscape Architecture Schools) Conference (Accepted)

2022 ——

• Chen, Mingze. Using big data and machine learning to quantify urban green space equality by ethnicity, gender, income, and age | 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)      
• Chen, Mingze., Yu, Yingwen., Sun, Ruilin., Wang, Yaxin. Touching the intangible landscape heritage: revive urban lifestyles based on virtual and augmented reality technologies| 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
• Chen, Mingze., Sun, Ruilin., Zhao, Yifei. Using the data-driven method to explore the ambiguous urban landscape heritage –100 urban open space cases in Milan, Italy| 2022 IFLA (International Federation of Landscape Architects) Conference Abstract (Accepted)
• Shen, Xiwei., Padua, Mary., Chen, Mingze. Themes in Digital Landscape Architecture: Techniques or Technologies?  | 2022 CELA (Council of Educators in Landscape Architecture) Conference Abstract (Accepted)

Book

Agro-Matrix. In M.Arch. UD 2021-2022 (pp. 148–159). Bartlett School of Architecture, UCL.