Pers/car : |
1 |
|
|
|
Pers/car : |
1,2 |
|
|
|
|
Before |
After |
|
|
|
Before |
After |
Car |
LOS |
C |
D |
|
Car |
LOS |
C |
D |
Points |
70 |
50 |
|
Points |
70 |
50 |
Car/h |
1710 |
1500 |
|
Car/h |
1710 |
1500 |
Pers/h |
1710 |
1500 |
|
Pers/h |
2052 |
1800 |
Pedestrian |
LOS |
C |
B |
|
Pedestrian |
LOS |
C |
B |
Points |
70 |
90 |
|
Points |
70 |
90 |
Ped/h |
1300 |
1500 |
|
Ped/h |
1300 |
1500 |
Pers/h |
1300 |
1500 |
|
Pers/h |
1300 |
1500 |
Bikes |
LOS |
C |
C |
|
Bikes |
LOS |
C |
C |
Points |
70 |
70 |
|
Points |
70 |
70 |
Bikes/h |
20 |
300 |
|
Bikes/h |
20 |
300 |
Pers/h |
20 |
300 |
|
Pers/h |
20 |
300 |
|
|
|
|
|
|
|
|
|
|
|
Before |
After |
|
|
|
Before |
After |
MPI |
Points |
70 |
70 |
|
MPI |
Points |
70 |
68 |
LOS |
C |
C |
|
LOS |
C |
C |
I also find a LOS of C before and after the measures (sorry for the tables, the presentation is not easy to read...). This project is neutral in term of multimodal impact.
Some points can be discussed :
- The results don't change much if we put 1, 1.2 or 2 pers/car, it only goes down of a few points but this doesn't change the LOS.
- For the pedestrian, the LOS goes from C to B but only after going down by 0.2 points (0.26>0.24), which is only a small gain. If we stay at a LOS of C for pedestrian after the project, the MPI points are going down to 60, which is less good. If we put 2 pers/car, the LOS goes up to D for the project...
- Like in every simulation project, we must be aware that numbers can be "manipulated" and every hypothesis and data used for the calculations must be validated by the different partners before the results are submitted.