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case_images: Peak delivery hours for deliveryman during a day.
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case_images: F1
case_images: Table 2 and Figure 1).
case_images: Relationship between the number of OFD orders and conducting traffic violations probability.
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case_images: F2
case_images: Figure 2 shows that when daily delivery numbers are higher, the proportion of deliverymen conducting traffic violations is greater.
case_images: Conceptual framework of hierarchical online food delivery mechanism.
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case_images: F3
case_images: This will leave more delivery time, which not only ensures consumers are satisfied, but also reduces the pressure of deliverymen (see Figure 3 for a conceptual framework and logic of the HOFDM).
case_images: The sensitivity test for the priority delivery fee accounting for the order cost.
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case_images: F4
case_images: Figure 4 is the corresponding graph that shows the highest, the relatively high, the relatively low and the lowest cumulative number of people, with the cumulative number of people being divided according to the percentage of each priority delivery fee accounting for the order cost. Figure 4 shows that the scope from point "P1" to point "P3" gives a range of fee proportion acceptable to the consumer. For the fee proportion lower than