Preventive medical facility planning method considering crowding effect
A preventive and facility-based technology, applied in medical equipment, data processing applications, resources, etc., can solve problems such as not considering the waiting time of facilities, and achieve the effect of maximizing the total social utility, saving money, and improving well-being
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[0118] We conduct a computational experiment to evaluate the effectiveness of the proposed model and algorithm. The experiment adopts the SiouxFalls network widely used in network design. This is an example figure 2 A medium-sized network is shown. The network consists of 24 nodes and 76 road segments. For computational experiments, it is assumed that there are 8 demand nodes and 8 candidate locations. Therefore, there are 64 pairs of origins and destinations. The travel time and length of road section a (a∈L) are denoted as t a and l a , and the values are shown in Table 1. Assuming that the driving speed of the road section is 30 miles per hour (mile / h), the length of the road section can be converted into the driving time of the road section. The preventive medical demand data calculated by the number of users per hour (user / hour) is shown in Table 2.
[0119] Table 1 Characteristics of the Sioux Falls network
[0120]
[0121] Table 2 Medical demand data for...
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