04
Pedestrian Flow Estimation
The Challenge:
To assist a global QSR brand in launching a new breakfast service by quantifying pedestrian flow distributions during Shanghai’s morning rush hour.
The Approach & Outcome:
Using Shanghai Metro data and Baidu map shortest-path APIs, the study modeled pedestrian trajectories for the two stages of the morning commute: home-to-metro and metro-to-workplace. The flow analysis helped the brand assess the performance of existing stores and prioritize locations with the highest potential to capture commuters.
Tools
QGIS / Python / FME / Adobe Illustrator
Data
Shanghai Metro Transit Data, Baidu Map Route API
Shanghai, 2021
Pedestrian
Flow Estimation:
Shanghai Morning Rush Hour






