38 citations · 50 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia
Xiaofan Liang, Brian Brainerd, Tara Hicks +1
Addressing strategies for managing vacant, abandoned, and deteriorated (VAD) properties is important for maintaining healthy communities. Yet, the process of identifying these prop…
physics.soc-ph2024★ 9 cited
A Review of Spatial Network Insights and Methods in the Context of Planning: Applications, Challenges, and Opportunities
Xiaofan Liang, Yuhao Kang
With the rise of geospatial big data, new narratives of cities based on spatial networks and flows have replaced the traditional focus on locations. While plenty of research have e…
physics.soc-ph2024★ 38 cited
Intercity Connectivity and Innovation
Xiaofan Liang, César A. Hidalgo, Pierre-Alexandre Balland +2
Urban outputs, from economy to innovation, are known to grow as a power of a city's population. But, since large cities tend to be central in transportation and communication netwo…