Timeline for Defining and comparing utilization rates for delivery service
Current License: CC BY-SA 4.0
9 events
when toggle format | what | by | license | comment | |
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Jun 9, 2020 at 21:02 | vote | accept | HubHu | ||
Jun 9, 2020 at 17:08 | comment | added | prubin♦ | If the issue is convincing drivers to work during "underserved hours", maybe the thing to look at is the number of available orders per driver, as a function of time. The higher that number is, the more likely a driver is to get an order and the more they are likely to earn per hour, which would be the kind of things that would get my attention if I were a gig driver. | |
Jun 8, 2020 at 15:52 | comment | added | HubHu | @prubin that’s unclear. There’s no info on waiting time for customers. It’s mainly about incentivizing drivers to drive during “underserved” hours. I only know the number of user requests and whether they had delivery slots or not. Users that didn’t have a slot, but got one within the same hour are counted twice. | |
Jun 8, 2020 at 15:12 | comment | added | prubin♦ | Are customers turned away, or is just a question of how long they wait? Do drivers turn down customers, or do they always take assigned deliveries? (There are variables in the gig economy that don't exist with employee-based delivery systems.) | |
Jun 8, 2020 at 9:11 | history | edited | TheSimpliFire♦ | CC BY-SA 4.0 |
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Jun 8, 2020 at 9:06 | comment | added | HubHu | @Richard Multiobjective on driver waiting time being low and number of delivery requests that can't be served being low as well. Or is there a better/easier way? | |
Jun 7, 2020 at 23:30 | comment | added | Richard | Multiobjective on driver idle time and customer wait time? @Hubhu? | |
Jun 7, 2020 at 22:18 | comment | added | HubHu | Thank you for the great response! Is there any approach that would take into account the demand side as well? Since I assume I have to view this from a gig economy business perspective, I wondered whether I could create something that links the customers without delivery slot and the waiting delivery drivers: the higher the difference, the lower the “efficiency” of the service. | |
Jun 7, 2020 at 21:53 | history | answered | prubin♦ | CC BY-SA 4.0 |