Dynamically generating geospatial-based-proportion metrics based on transportation events relative to geocoded areas
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.
1. A method comprising:
determining, by one or more servers of a transportation matching system, locations of provider devices across geocoded areas for a time period based on GPS locators of the provider devices providing GPS data associated with the provider devices at regular intervals during the time period to the one or more servers;
generating, by the one or more servers of the transportation matching system and based on the GPS data provided by the provider devices at the regular intervals, geospatial scores for transportation events of the provider devices during the time period relative to the geocoded areas comprising measurement representations of particular locations and particular times of the transportation events relative to the geocoded areas, the transportation events occurring as part of transportation requests assigned to the provider devices and the geospatial scores indicating measurements of distances and times from the transportation events to the geocoded areas, the transportation events comprising pick-up events, drop-off events, or movement of the provider devices occurring as part of the transportation requests relative to the geocoded areas;
determining, by the one or more servers of the transportation matching system utilizing the GPS data provided by the provider devices at the regular intervals and for the geocoded areas, cumulative-events metrics indicating cumulative values of the transportation events occurring within or through the geocoded areas and during the time period by incrementing the cumulative values stored in geocode-specific repositories for the geocoded areas each time a pick-up event, a drop-off event, or a tracked movement of a provider occurs as part of a transportation request within or through the geocoded areas;
generating geospatial-based-proportion metrics for the transportation events based on combinations of the geospatial scores of the transportation events and portions of the cumulative-events metrics from the geocode-specific repositories of corresponding geocoded areas;
generating, in response to a provider device of the provider devices approaching one or more target geocoded areas, a heatmap indicating an inner zone surrounding one or more target geocoded areas, an outer zone surrounding the inner zone, a location of the provider device relative to the inner zone and the outer zone, and the geospatial-based-proportion metrics of the transportation events occurring within or through the one or more target geocoded areas; and
providing the heatmap for display within a map in a mapping interface of a provider application of the provider device.
2. The method of claim 1 , wherein determining a cumulative-events metric for a particular geocoded area comprises:
incrementing, for each transportation event within the particular geocoded area for the time period, a value for the cumulative-events metric corresponding to the particular geocoded area; and
storing the cumulative-events metric in a geocode-specific repository for the particular geocoded area.
3. The method of claim 2 , further comprising:
determining a difference between the cumulative-events metric stored in the geocode-specific repository for the particular geocoded area and a cumulation of the geospatial-based-proportion metrics for the particular geocoded area and the time period; and
generating premiums for the provider devices according to the geospatial-based-proportion metrics based on the cumulative-events metric stored in the geocode-specific repository and a cumulative-reserve metric from a regional repository for the geocoded areas.
4. The method of claim 1 , further comprising:
providing, for display by the provider device of the provider devices, customized instructions guiding a transportation vehicle corresponding to the provider device toward a target geocoded area of the one or more target geocoded areas based on the location of the provider device relative to the target geocoded area for the time period;
providing, in response to detecting the provider device of the provider device traveling to a target geocoded area, an indication of a premium for the provider device according to a geospatial-based-proportion metric for the target geocoded area; and
scaling the heatmap to include the location of the provider device, the inner zone surrounding the one or more target geocoded areas, and the outer zone surrounding the inner zone within the mapping interface.
5. The method of claim 1 , wherein determining a cumulative-events metric for a particular geocoded area of the geocoded areas and the time period comprises:
determining an allocation of provider devices across the geocoded areas based on the locations of the provider devices and a projected number of transportation requests across the geocoded areas for the time period;
determining a transportation-value metric for the particular geocoded area for the time period based on the allocation of provider devices and a target number of provider devices within the particular geocoded area to receive premiums according to the geospatial-based-proportion metrics; and
determining the cumulative-events metric for the particular geocoded area and the time period based on a number of transportation requests within the particular geocoded area for the time period and the transportation-value metric.
6. The method of claim 1 , wherein generating the geospatial-based-proportion metrics further comprises:
determining a target premium metric for a particular geocoded area based on an allocation of provider devices across the geocoded areas;
iteratively adjusting a value for a premium metric for the particular geocoded area to reduce a difference between the premium metric and the target premium metric; and
generating the geospatial-based-proportion metrics based further on the adjusted value of the premium metric.
7. The method of claim 6 , further comprising iteratively adjusting the value for the premium metric to reduce the difference between the premium metric and the target premium metric based in part on a balanced-treatment constraint by comparing the premium metric according to an allocation-flow matrix for the geocoded areas to cumulative-event metrics and cumulative-reserve metrics according to a contribution matrix for the geocoded areas.
8. A system comprising:
at least one processor; and
a non-transitory computer readable storage medium comprising instructions that, when executed by the at least one processor, cause the system to:
determine, by one or more servers of a transportation matching system, locations of provider devices across geocoded areas for a time period based on GPS locators of the provider devices providing GPS data associated with the provider devices at regular intervals during the time period to the one or more servers;
generate, by the one or more servers of the transportation matching system and based on the GPS data provided by the provider devices at the regular intervals, geospatial scores for transportation events of the provider devices during the time period relative to the geocoded areas comprising measurement representations of particular locations and particular times of the transportation events relative to the geocoded areas, the transportation events occurring as part of transportation requests assigned to the provider devices and the geospatial scores indicating measurements of distances and times from the transportation events to the geocoded areas, the transportation events comprising pick-up events, drop-off events, or movement of the provider devices occurring as part of the transportation requests relative to the geocoded areas;
determine, by the one or more servers of the transportation matching system utilizing the GPS data provided by the provider devices at the regular intervals and for the geocoded areas, cumulative-events metrics indicating cumulative values of the transportation events occurring within or through the geocoded areas and during the time period by incrementing the cumulative values stored in geocode-specific repositories for the geocoded areas each time a pick-up event, a drop-off event, or a tracked movement of a provider occurs as part of a transportation request within or through the geocoded areas;
generate geospatial-based-proportion metrics for the transportation events based on combinations of the geospatial scores of the transportation events and portions of the cumulative-events metrics from the geocode-specific repositories of corresponding geocoded areas;
generate, in response to a provider device of the provider devices approaching one or more target geocoded areas, a heatmap indicating an inner zone surrounding one or more target geocoded areas, an outer zone surrounding the inner zone, a location of the provider device relative to the inner zone and the outer zone, and the geospatial-based-proportion metrics of the transportation events occurring within or through the one or more target geocoded areas; and
providing the heatmap for display within a map in a mapping interface of a provider application of the provider device.
9. The system of claim 8 , further comprising instructions that, when executed by the at least one processor, cause the system to determine a cumulative-events metric for a particular geocoded area by:
incrementing, for each transportation event within the particular geocoded area for the time period, a value for the cumulative-events metric corresponding to the particular geocoded area; and
storing the cumulative-events metric in a geocode-specific repository for the particular geocoded area.
10. The system of claim 9 , further comprising instructions that, when executed by the at least one processor, cause the system to:
determine a difference between the cumulative-events metric stored in the geocode-specific repository for the particular geocoded area and a cumulation of the geospatial-based-proportion metrics for the particular geocoded area and the time period; and
generate premiums for the provider devices according to the geospatial-based-proportion metrics based on the cumulative-events metric stored in the geocode-specific repository and a cumulative-reserve metric from a regional repository for the geocoded areas.
11. The system of claim 8 , further comprising instructions that, when executed by the at least one processor, cause the system to:
provide, for display by the provider device of the provider devices, customized instructions guiding a transportation vehicle toward a target geocoded area from a first geocoded area of the geocoded areas based on the location of the provider device across the geocoded areas for the time period, the customized instructions comprising indications of premiums for the provider device according to the geospatial-based-proportion metrics;
cause the provider device to display the heatmap including the target geocoded area and the location of the provider device while modifying the location of the provider device to reflect movement of the transportation vehicle toward the target geocoded area.
12. The system of claim 8 , further comprising instructions that, when executed by the at least one processor, cause the system to determine a cumulative-events metric for a particular geocoded area of the geocoded areas and the time period by:
determining an allocation of provider devices across the geocoded areas based on the locations of the provider devices and a projected number of transportation requests across the geocoded areas for the time period;
determining a transportation-value metric for the particular geocoded area for the time period based on the allocation of provider devices and a target number of provider devices within the particular geocoded area to receive premiums according to the geospatial-based-proportion metrics; and
determining the cumulative-events metric for the particular geocoded area and the time period based on a number of transportation requests within the particular geocoded area for the time period and the transportation-value metric.
13. The system of claim 8 , further comprising instructions that, when executed by the at least one processor, cause the system to generate the geospatial-based-proportion metrics by:
determining a target premium metric for a particular geocoded area based on an allocation of provider devices across the geocoded areas;
iteratively adjusting a value for a premium metric for the particular geocoded area to reduce a difference between the premium metric and the target premium metric; and
generating the geospatial-based-proportion metrics based further on the adjusted value of the premium metric.
14. The system of claim 13 , further comprising instructions that, when executed by the at least one processor, cause the system to iteratively adjust the value for the premium metric to reduce the difference between the premium metric and the target premium metric based in part on a balanced-treatment constraint by comparing the premium metric according to an allocation-flow matrix for the geocoded areas to cumulative-event metrics and cumulative-reserve metrics according to a contribution matrix for the geocoded areas.
15. A non-transitory computer readable storage medium comprising instructions that, when executed by at least one processor, cause a computing device to:
determine, by one or more servers of a transportation matching system, locations of provider devices across geocoded areas for a time period based on GPS locators of the provider devices providing GPS data associated with the provider devices at regular intervals during the time period to the one or more servers;
generate, by the one or more servers of the transportation matching system and based on the GPS data provided by the provider devices at the regular intervals, geospatial scores for transportation events of the provider devices during the time period relative to the geocoded areas comprising measurement representations of particular locations and particular times of the transportation events relative to the geocoded areas, the transportation events occurring as part of transportation requests assigned to the provider devices and the geospatial scores indicating measurements of distances and times from the transportation events to the geocoded areas, the transportation events comprising pick-up events, drop-off events, or movement of the provider devices occurring as part of the transportation requests relative to the geocoded areas;
determine, by the one or more servers of the transportation matching system utilizing the GPS data provided by the provider devices at the regular intervals and for the geocoded areas, cumulative-events metrics indicating cumulative values of the transportation events occurring within or through the geocoded areas and during the time period by incrementing the cumulative values stored in geocode-specific repositories for the geocoded areas each time a pick-up event, a drop-off event, or a tracked movement of a provider occurs as part of a transportation request within or through the geocoded areas;
generate geospatial-based-proportion metrics for the transportation events based on combinations of the geospatial scores of the transportation events and portions of the cumulative-events metrics from the geocode-specific repositories of corresponding geocoded areas;
generate, in response to a provider device of the provider devices approaching one or more target geocoded areas, a heatmap indicating an inner zone surrounding one or more target geocoded areas, an outer zone surrounding the inner zone, a location of the provider device relative to the inner zone and the outer zone, and the geospatial-based-proportion metrics of the transportation events occurring within or through the one or more target geocoded areas; and
providing the heatmap for display within a map in a mapping interface of a provider application of the provider device.
16. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the at least one processor, cause the computing device to determine a cumulative-events metric for a particular geocoded area by:
incrementing, for each transportation event within the particular geocoded area for the time period, a value for the cumulative-events metric corresponding to the particular geocoded area; and
storing the cumulative-events metric in a geocode-specific repository for the particular geocoded area.
17. The non-transitory computer readable storage medium of claim 16 , further comprising instructions that, when executed by the at least one processor, cause the computing device to:
determine a difference between the cumulative-events metric stored in the geocode-specific repository for the particular geocoded area and a cumulation of the geospatial-based-proportion metrics for the particular geocoded area and the time period; and
generate premiums for the provider devices according to the geospatial-based-proportion metrics based on the cumulative-events metric stored in the geocode-specific repository and a cumulative-reserve metric from a regional repository for the geocoded areas.
18. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the at least one processor, cause the computing device to:
provide, for display by the provider device of the provider devices, customized instructions guiding a transportation vehicle associated with the provider device toward the one or more target geocoded areas based on the location of the provider device; and
provide the heatmap for display by the provider device by centering the mapping interface around the location of the provider device while scaling the heatmap to include the one or more target geocoded areas.
19. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the at least one processor, cause the computing device to determine a cumulative-events metric for a particular geocoded area of the geocoded areas and the time period by:
determining an allocation of provider devices across the geocoded areas based on the locations of the provider devices and a projected number of transportation requests across the geocoded areas for the time period;
determining a transportation-value metric for the particular geocoded area for the time period based on the allocation of provider devices and a target number of provider devices within the particular geocoded area to receive premiums according to the geospatial-based-proportion metrics; and
determining the cumulative-events metric for the particular geocoded area and the time period based on a number of transportation requests within the particular geocoded area for the time period and the transportation-value metric.
20. The non-transitory computer readable storage medium of claim 15 , further comprising instructions that, when executed by the at least one processor, cause the computing device to generate the geospatial-based-proportion metrics by:
determining a target premium metric for a particular geocoded area based on an allocation of provider devices across the geocoded areas;
iteratively adjusting a value for a premium metric for the particular geocoded area to reduce a difference between the premium metric and the target premium metric; and
generating the geospatial-based-proportion metrics based further on the adjusted value of the premium metric.