Decision Models in Skiable Areas - EPFL
Decision Models in Skiable Areas - EPFL
Decision Models in Skiable Areas - EPFL
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6 MODEL OF DEMAND IN A SKIABLE AREA 18<br />
A lift on which a skier can sit down is more attractive than <strong>in</strong> the contrary case.<br />
Interpretation of the constants The constants related to the succession of two lifts<br />
pass<strong>in</strong>g par ”Les Ru<strong>in</strong>ettes” are illustrated <strong>in</strong> Figure 9. Remarkable is the fact that the<br />
comb<strong>in</strong>ation ”Médran-La Combe 2” is very unattractive and that ”Attelas 2” is for both<br />
preced<strong>in</strong>g possibilities the most attractive choice.<br />
4.00<br />
3.00<br />
2.00<br />
1.00<br />
0.00<br />
-1.00<br />
-2.00<br />
-3.00<br />
-4.00<br />
Attelas 2<br />
6.2 The Ski slope Model<br />
La Combe 2<br />
Funispace<br />
Figure 9: Constants l<strong>in</strong>ked to ”Les Ru<strong>in</strong>ettes”<br />
Médran 2<br />
La Combe 1<br />
As mentioned above, the ski slope model is not developed <strong>in</strong> this project. For the<br />
simulation, a equiprobable model is used. This means that each way from the end of<br />
the actual lift to the beg<strong>in</strong> of the next lift has the same probability to be chosen:<br />
P(alternativei) =<br />
6.3 Implementation <strong>in</strong> the code<br />
1<br />
# of alternatives<br />
∀i (29)<br />
We have now seen the theory of discrete choice models, have developed a model and<br />
estimated the correspond<strong>in</strong>g coefficients and parameters. Only the implementation <strong>in</strong><br />
the code is miss<strong>in</strong>g. For this, we use the follow<strong>in</strong>g algorithm:<br />
Suppos<strong>in</strong>g a skier is arriv<strong>in</strong>g at the end of a lift, then<br />
Médran 2<br />
La Combe 1