Research Article
A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport
Table 2
Coefficient value of the decision-making model for taxi drivers.
| Variable definition | Value | Unit |
| Terminal area at Chengdu Shuangliu International Airport | 50 | Million square meter | Average queue time for taxi drivers in the parking lot | 2 | Hour | Waiting time for passengers in line | 20 | Minute | Fuel cost of taxi | 6.67 [24] | Yuan/liter | Boarding time for passengers | 60 | Second | Fuel consumption of taxi | 0.1 | Liter/kilometre | Airport position coefficient 1 | 0.25 | Dmnl | Airport position coefficient 2 | 0.25 | Dmnl | Airport position coefficient 3 | 1 | Dmnl | Airport position coefficient 4 | 0.5 | Dmnl | Mileage of taxi starting price | 2 [25] | Kilometre | Taxi starting price | 9 [22] | Yuan | Fuel cost per kilometre of taxi | 0.667 | Yuan | Successful times of taxi drivers in picking up passengers per hour in the city | 2 | Times | Expected revenue per hour while the driver waits | 10 | Yuan | Difference between the time taking the last taxi to pick up a passenger and the time taking the next taxi to pick up a passenger in the parking lot | 30 | Second |
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