Understanding Supply & Demand in Ride-hailing Through the Lens of Data

This post details an analytics initiative to measure the supply and demand ratio in ride-hailing. It defines supply as an online, idle driver and demand as a passenger checking fares within a time slot. It describes mapping supply to demand in neighboring geohashes, inversely weighted by distance, to calculate 'effective supply' for each passenger. The post explains the computational complexity of this process and visualizes the supply-demand gap on a map. It also introduces product updates like the Heatmap and Travel Trends Widget to address spatial and temporal imbalances.