The pilot area of Auronzo di Cadore (Belluno) - Università Ca

Fig. 12
Strategy BYDSNW
after brainstorming
4.2 / Participatory strategy’s consolidation
4.2.1 / Attribution of weights
to the main factors of a winter holiday in the Alps
Building on ClimAlpTour’s WP6, participants ranked a list of eleven items
that tourists had previously singled out as the most influential factors for
their choice of an alpine destination in winter (Table 10). This allowed us to
promote coherence between the demand and supply sides.
Stakeholders, through the application of the methodology developed by
Simos (Simos, 1990), evaluated the above factors and attribute different
weights to them according to their relevance for the objective that is how
to make an Alpine destination attractive. One of the primary strengths this
methodology is that it greatly reduces possibility of individual biases of the
final outcomes. In Figure 13 below, there appear the results of the factors’
weighting.
The central box includes the central 50% for the average weights’ distribution
(between the second and the third quartile). The whiskers above and
below the box delineate the total range, from minimum to maximum.
Table 11 below illustrates the coefficients (weights and variability) related to
the main factors, which characterise the Alpine winter offer. It is interesting
to notice how factor A (snow-related activities) was given the highest average
weight whilst factor J (artificial snow-making) one of the lowest. It is
33