The calibration factor/Disutlity is the representation of a function to identify the modal splits from reference study, initial plans, and calibrated demand are compare, the real-world traffic counts are compared with the simulation counts. e.g for all modes and marginal utility of distance for bicycle and walk modes are estimated to be zero, which can be interpreted as no initial impedance. Car/motorbike and PT often have some initial overhead either in terms of getting the car out of the garage or in terms of walking to a PT stop. In this scenario, walking to PT stop is marginally less burdensome as getting the car/motorbike out of the garage/parking location. As a consequence of mode choice, the share of walk mode increases, which can be controlled either by a negative or by having marginal utility of distance for walk mode (βd,walk). example: The former has less significance for the walk mode and therefore the latter is chosen. In contrast to bicycle, the walk mode is teleported and thus the utility for a person with walk mode is not affected by congestion. The marginal utility of distance for the walk mode (βd,walk = −1.2 · 10-4 util/m) is estimated marginally higher than the marginal utility of distance for the bicycle mode (βd,walk = −1.1 ·
Sir, please explain how did you calculate the calibration? How is it -0.02 for bus??
The calibration factor/Disutlity is the representation of a function to identify the modal splits from reference study, initial plans, and calibrated demand are compare, the real-world traffic counts are compared with the simulation counts.
e.g for all modes and marginal utility of distance for bicycle and walk modes are estimated to be zero, which can be interpreted as no initial impedance. Car/motorbike and PT often have some initial overhead either in terms of getting the car out of the garage or in terms of walking to a PT stop. In this scenario, walking to PT stop is marginally less burdensome as getting the car/motorbike out of the garage/parking location. As a consequence of mode choice, the share of walk mode increases, which can be controlled either by a negative or by having marginal utility of distance for walk mode (βd,walk).
example: The former has less significance for the walk mode and therefore the latter is chosen. In contrast to bicycle, the walk mode is teleported and thus the utility for a person with walk mode is not affected by congestion. The marginal utility of distance for the walk mode (βd,walk = −1.2 · 10-4 util/m) is estimated marginally higher than the marginal utility of distance for the bicycle mode (βd,walk = −1.1 ·
in a short its a value from the calculation , which is based on real time traffic counts and impedance calculation to determine the factor value.
for your reference: d-nb.info/1199442909/34