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Zhuangyuan Fan
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Citace
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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
932021
“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
882021
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
172023
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
122023
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
112023
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
92021
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
72022
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
72021
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
52023
Connect the last mile-textual entailment identify efforts in bridging the digital divide
Z Fan, F Zhang
Urban Informatics 1 (1), 10, 2022
22022
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
12024
Connecting the last mile: understanding internet service providers typologies to connect underserved America
Z Fan
Massachusetts Institute of Technology, 2020
12020
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Články 1–12