Below is a list of my research papers with links to download or view them. Click on the titles to access the 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
- 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
- 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