| Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment AS Miranda, Z Fan, F Duarte, C Ratti Computers, Environment and Urban Systems 86, 101563, 2021 | 100 | 2021 |
| “Perception bias”: Deciphering a mismatch between urban crime and perception of safety F Zhang, Z Fan, Y Kang, Y Hu, C Ratti Landscape and Urban Planning 207, 104003, 2021 | 98 | 2021 |
| Urban visual intelligence: Uncovering hidden city profiles with street view images Z Fan, F Zhang, BPY Loo, C Ratti Proceedings of the National Academy of Sciences 120 (27), e2220417120, 2023 | 26 | 2023 |
| Using computer vision and machine learning to identify bus safety risk factors BPY Loo, Z Fan, T Lian, F Zhang Accident Analysis & Prevention 185, 107017, 2023 | 13 | 2023 |
| Diversity beyond density: Experienced social mixing of urban streets Z Fan, T Su, M Sun, A Noyman, F Zhang, AS Pentland, E Moro PNAS nexus 2 (4), pgad077, 2023 | 13 | 2023 |
| Social interaction in public space: Spatial edges, moveable furniture, and visual landmarks BPY Loo, Z Fan Environment and Planning B: Urban Analytics and City Science 50 (9), 2510-2526, 2023 | 9 | 2023 |
| Rhythm of the streets: a street classification framework based on street activity patterns T Su, M Sun, Z Fan, A Noyman, A Pentland, E Moro EPJ Data Science 11 (1), 43, 2022 | 9 | 2022 |
| Rhythm of Transit Stations-Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the US Z Fan, F Zhang, BPY Loo IEEE Transactions on Intelligent Transportation Systems 23 (8), 12503-12517, 2021 | 9 | 2021 |
| Street life and pedestrian activities in smart cities: opportunities and challenges for computational urban science Z Fan, BPY Loo Computational urban science 1, 1-17, 2021 | 7 | 2021 |
| Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency T Lian, BPY Loo, Z Fan Computers, environment and urban systems 107, 102057, 2024 | 3 | 2024 |
| Connect the last mile-textual entailment identify efforts in bridging the digital divide Z Fan, F Zhang Urban Informatics 1 (1), 10, 2022 | 2 | 2022 |
| Connecting the last mile: understanding internet service providers typologies to connect underserved America Z Fan Massachusetts Institute of Technology, 2020 | 1 | 2020 |
Carlo RattiProfessor, Senseable City Lab, Department of Urban Studies and Planning, MIT在 mit.edu 的电子邮件经过验证
