#Publications
Peer-reviewed Journal Papers
T Su,
M Sun
.
Understanding park-based health-promoting behavior and emotion with large-scale social media data: The case of Tianjin, China.
Cities. 2025
J Pan, TY Cho,
M Sun
, K Steemers, R Bardhan.
Environmental and spatial dynamics in a flexible workspace for hybrid work: A data-driven design framework.
Building and Environment. 2025
QC Wang,
M Sun
, X Liu, F Tao, D Yang, R Bardhan.
Reflecting City Digital Twins (CDTs) for sustainable urban development: Roles, challenges and directions.
Digital Engineering. 2025
KM Jang, H Suh, FG Haddad,
M Sun
, F Duarte, Y Kim.
Urban street clusters: unraveling the associations of street characteristics on urban vibrancy dynamics in age, time, and day.
Urban Informatics. 2024
B Cao,
M Sun
, R Bardhan.
Measuring shaded bike lanes for heat stress mitigation with deep learning: A case study in Amsterdam, Netherlands.
Urban Climate. 2024
L Liu, Y Tu,
M Sun
, H Lyu, P Wang, J He.
Spatial Quality Measurement and Characterization of Daily High-Frequency Pedestrian Streets in Xi'an City.
Land. 2024
M Sun
, R Bardhan.
Identifying Hard-to-Decarbonize houses from multi-source data in Cambridge, UK.
Sustainable Cities and Society. 2024
J Pan, TY Cho,
M Sun
, R Debnath, N Lonsdale, C Wilcox, R Bardhan.
Future workspace needs flexibility and diversity: A machine learning-driven behavioural analysis of co-working space.
Plos One. 2023
A Salazar-Miranda, F Zhang,
M Sun
, P Leoni, F Duarte, C Ratti.
Smart curbs: Measuring street activities in real-time using computer vision.
Landscape and Urban Planning. 2023
Z Fan, T Su,
M Sun
, A Noyman, F Zhang, AS Pentland, E Moro.
Diversity beyond density: Experienced social mixing of urban streets.
PNAS nexus. 2023
T Su,
M Sun
, Z Fan, A Noyman, A Pentland, E Moro.
Rhythm of the streets: A street classification framework based on street activity patterns.
EPJ Data Science. 2022
M Sun
, C Han, Q Nie, J Xu, F Zhang, Q Zhao.
Understanding building energy efficiency with administrative and emerging urban big data by deep learning in Glasgow.
Energy and Buildings. 2022
M Sun
, F Zhang, F Duarte, C Ratti.
Understanding architecture age and style through deep learning.
Cities. 2022
Working Papers
M Sun
, C Hou, Q Li, F Zhang, R Bardhan, Q Zhao.
Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data.
Under Review
M Sun
, J Pan, Q Zhao, R Bardhan.
Heat Stress Dichotomy: Long-term Adaptation and Acute Shock in London Domestic Environments.
Under Review
Peer-reviewed Conference Papers
M Sun
, F Zhang, F Duarte.
Automatic building age prediction from street view images.
7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC). 2021
M Sun
, P Sun, Y Dong, Jlgdelc Lopez.
Mass Production - Towards Multidimensional,Real-time Feedback in Early Stages of Urban Design Processes.
CAADRIA. 2021