The planning standards on lifts are changed so that lifts designed for all users have a capacity of 4ppl / sqm. and the lifts designed for PRM’s have a capacity of 1 person per sqm..
The problem that is occurring in terms of modelling is that the data from surveys which suggests that non – PRMs make up a large proportion of the users in PRM lifts. Users in this case, doesn’t want to hard code the capacity of PRM lifts to the lower threshold. The user suggested that they could code capacity based on the average proportions of PRMs and non PRMs, but was wondering if there was any way they could use conditions to make the capacity of the lift linked to the exact mix of lift users at any given time.
For example, if a lift had an internal dimension of 2m x 2m then it could be assumed that the following mix of passengers could be fitted in.
4 x PRMs, 0 x non PRMs3 x PRM, up to 4 non PRMs2 x PRM, up to 8 non PRMs1 x PRM, up to 12 non PRMs0 x PRM, up to 16 non PRMs.
It is possible to use condition to limit the number of either PRM or Normal entities depending on the composition already within the lift.
Note, that it used to be a model for both direction but to ease the process, you have to removed the Entrance on the right (concourse) to only focus in one direction and avoid other issues (priority to a lighters for example). Down direction objects are still present in the model (in their own layer), you might want to hide/remove to not get confused.
For example, let us assume a lift dimension to be 1.7m x 1.6m which means it can be composed by:
PRM = 0 and normal < 11 ORPRM = 1 and normal < 7 ORPRM = 2 and normal < 3
Sometimes, there is a space for only 1 entity within the lift but it can happen that 2 entities enter at the same time, so there is a limitation.