Closed gamalielpalomo closed 2 years ago
Isn't it simply because there is more people? More agent means more computation so a slower simulation
Yes, that is the reason. In this case study we use the current population from the polygon in order to compute the indicators. In other tables, do you use the whole population or just a sample?
Is this issue resolved? if not can you provide more context?
previously we needed to run many "people" agents since these were the ones that calculated the mobility accessibility indicator, however that made the simulation slow. It was decided to calculate the indicator based on space (not on people), which makes it possible to reduce the number of "people" agents.
ok great so let's close this issue too?
If we use the actual number of people living in the polygon, the simulation gets slower.