3D Street Orientation Entropy
Article: Journal Publication in Buildings 2025, 15, 2460
Hao Rao, Leyao Chen and Cui Liu*
Introduction
Quantifying Three-Dimensional Street Network Orientation Entropy in Chongqing, China: Implications for Urban Spatial Order and Environmental Perception
My team and I published a paper titled “Quantifying Three-Dimensional Street Network Orientation Entropy in Chongqing, China: Implications for Urban Spatial Order and Environmental Perception” in Buildings (2025, 15(14), 2460). Building on our previous work, this study integrates residents’ perceptions of urban space, linking 3D street orientation Entropy with how people experience spatial order in complex terrain.
Using a computational workflow combining ArcGIS and Python, we analyzed Chongqing’s street network and explored the relationship between 3D orientation entropy and human perception. While no statistically significant correlation was observed, the study revealed emerging patterns and highlighted the importance of multidimensional approaches in understanding urban spatial experience.
You can access the paper online here: