  In leisure spaces, particularly theme parks and museums, researchers and
managers have long been using simulation tools to tackle the big issue
associated with attractiveness, flow management. In this research, we present
the management and planning perspective of a multi-agent simulation tool which
models the behavior of skiers in a ski-area. This is the first tool able to
simulate and compare management and planning scenarios as well as their impacts
on the comfort of skiers, in particular ski-area waiting times. This paper aims
to integrate multiple data sources to calibrate the simulation on a real case
study. An original field survey of users during a week details the skier
population. The first average skier speeds are calculated from GPS data on one
ordinary day. The validation data are used to calibrate the parameters of the
behavioral model. A demonstration of the simulation tool is conducted on the La
Plagne ski-area, one of the largest in France. A test case, the construction of
new housing in a station near the ski-area, is conducted. An addition of 1620
new skiers delays the skier average waiting time by 12 pourcents.
