Research Papers
- Liu Liu, & Andres Sevtsuk “Clarity or confusion: A review of computer vision street attributes in urban studies and planning” Cities, 150, 105022 View
- Zhou, B., Liu, L., Oliva, A., & Torralba, A. “Recognizing city identity via attribute analysis of geo-tagged images” European conference on computer vision (pp. 519-534). Download
- Liu, L., Zhou, B., Zhao, J., & Ryan, B. D. “C-IMAGE: city cognitive mapping through geo-tagged photos” GeoJournal, 81(6), 817-861. View
- Long, Y., & Liu, L. “How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View” PloS one, 12(2), e0171110. Download
- Nicola Colaninno, Rounaq Basu, Maryam Hosseini, Abdulaziz Alhassan, Liu Liu, Andres Sevtsuk “A sidewalk-level urban heat risk assessment framework using pedestrian mobility and urban microclimate modeling” Environment and Planning B: Urban Analytics and City Science View
- Liu L., Liu Z. “The Recognition of CAZ in Shanghai Based on Evaluated POI.” In: Shen Z., Li M. (eds) Big Data Support of Urban Planning and Management, Advances in Geographic Information Science. Springer, Cham. View
- Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H. H., Lin, H., & Ratti, C. “Measuring human perceptions of a large-scale urban region using machine learning” Landscape and Urban Planning. View
- Liu, L., Zhang, F., Zhou, B., Wang, Z., & Li, Y. “STREETALK: A NAVIGATION SYSTEM FOR PEDESTRIANS AND CYCLISTS” Landscape Architecture Frontiers. Download
- Hosseini, M., Cipriano, M., Eslami, S., Hodczak, D., Liu, L., Sevtsuk, A. and de Melo, G., 2024. “ELSA: Evaluating Localization of Social Activities in Urban Streets. arXiv preprint arXiv:2406.01551.” Download
- Fang, W., Liu, L., & Zhou, J. “Assessing Physical Environment of TOD Communities around Metro Stations: Using Big Data and Machine Learning” Download
- Cui, C., et al. “The spatial-temporal dynamics of daily intercity mobility in the Yangtze River Delta: An analysis using big data” Habitat International. View
- Zhang, D., Yi, H., Chen, Y., Jiang, N., Shao, J., & Liu, L. “An urban infrastructure assessment system built on geo-tagged images and machine learning” Computational Urban Science. Download
- Colaninno, N., Basu, R., Hosseini, M., Alhassan, A., Liu, L., & Sevtsuk, A. “Urban Heat Risk Assessment: Exploring a Novel Pedestrian Network-Based Framework” View
Papers Under Review
- Kang, Y., Chen, J., Liu, L., Sharma, K., Mazzarello, M., Mora, S., Duarte, F.* (corresp.), & Ratti, C. “Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI” Computers, Environment and Urban Systems, major revision invited (Manuscript ID CEUS-D-25-00395).
- Zhang, H., Liu, L., Wang, P., & Zhao, J. “Depicting the Blurred Regional Boundaries in China Using Individual Mobility Data” Computational Urban Science, under review (Manuscript ID CUSC-D-25-00097).
Publication Reviewer
Cities, Nature Cities, Sustainable Cities and Society, Environment and Planning B: Urban Analytics and City Science, Journal of Transport and Land Use, Transactions in Urban Data, Science, and Technology, Annals of the American Association of Geographers, Computational Urban Science.
Granted Research Resources
- Principal Investigator, Observing the “Sidewalk Ballet”: Leveraging LMMs to Detect Social Interactions in Large-scale Urban Imagery Datasets, Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support, Alexandria, VA, US, Funding Period: January 31, 2025 – January 30, 2026, Project URI