Lyft, Inc.

Jae Ik Jin

Davide Crapis

Hao Yi Ong

Praveen Athmanathan Panneer Selvam

Shengke Zhou

Jiayu Gong

Daniel Freund

This disclosure describes methods, non-transitory computer readable media, and systems that can determine locations and geospatial scores for pick-up events and other transportation events relative to geocoded areas at a given time period and generate geospatial-based proportion metrics for provider devices corresponding to such transportation events as proportional premiums for performing the events. For example, the systems determine locations of provider devices across geocoded areas for a particular time period. The systems can generate geospatial scores for transportation events of the provider devices occurring within the time period based on the specific locations and times of the events relative to the geocoded areas. Based on the geospatial scores and cumulative metrics accounting for such transportation events relative to the geocoded areas, the systems can generate geospatial-based-proportion metrics corresponding to such events for a graphical display on provider devices.

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San Francisco, CA, United States of America

Jae Ik Jin