Research Article

Fare Design in Urban Transit Network considering Elastic Demand and Adverse Weather’s Impact

Table 9

The changes of transit route flows considering different scenarios ( ).

ScenarioOD pairTransit route flows changes
Route 1Route 2Route 3Route 4Route 5Route 6Route 7Route 8

1, 2−10.61−5.974.722.352.32−5.903.231.30
23.16−20.9614.40−1.9510.49−28.13−3.04−13.01
−10.51−14.932.05−6.194.13−9.662.45−3.28
−40.43−24.1719.32−1.8317.05−22−6.66−12.97

1, 3−4.322.83−1.57−1.610.77−2.77
−12.9124.01−8.4616.71−10.38−30.07
−15.82−4.55−18.081.06−0.78−10.37
−32.9614.22−16.9811.58−25.65−32.06

4, 2−1.19−14.105.831.761.72
−30.53−35.7429.43−0.9622.03
−37.55−20.7416.41−2.5019.75
−62.42−48.8433.32−6.5829.11

4, 3−7.14−2.63−2.084.921.000.96
−50.77−25.03−4.9833.262.1525.41
−39.07−35.90−4.9818.60−1.0421.98
−56.12−60.75−28.0340.85−3.23−56.12

Note: the number of the first column, for example, , means the transit route flows for scenario 2 minus the transit route flows for scenario 1.