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Micro-Regeneration:

The Challenge: 
In response to Shanghai’s planning authorities’ call for urban regeneration, this competition entry focuses on leveraging big data to explore a “micro-health check” for Xinhua Street—a historic yet aging neighborhood. The research aims to quantify the deep connection between physical urban space and the diverse behaviors of its residents.


The Approach & Outcome: 
We developed a multi-dimensional mapping framework, overlaying housing prices and population density with five categories of functional POIs and dynamic MoBike cycling trajectories. The resulting cartography visualizes the neighborhood’s vibrancy core, where high-density service grids overlap with seamless micro-mobility. This diagnostic tool provides direct visual evidence for identifying “vitality gaps” and informing precise streetscape interventions.


Tools
QGIS / Python / Adobe Illustrator


Data
MoBike Trajectory API, POI, Mobile Signaling Data, Housing Price


Shanghai, 2017