The Impact of Data Aggregation on Potential Accessibility Values - Geoinformatics for Intelligent Transportation - page 228

values are higher. Consequently, the smallest differences are noticed in the extreme
north and east of the Mazovia region. Furthermore, the grid model gives higher
accessibility results for municipalities located along rivers and with a high density
of forest. This may to some extent be explained by the concentration of population
along main roads and the low population density in the peripheral areas.
The differences between models M3 and M1 present quite a similar pattern
(Fig. 2 b), although the scale of dissimilarities is lower than between models M2 and
M1. The grid model (M2) generates higher values than the population-weighted
average travel time model (M3) especially in the case of Warsaw and those areas
which are located along the transport corridors (Fig. 2 c).

Fig. 3 Differences in self-potential values (SAi). a SAi(M2) − SAi(M1), b SAi(M3) − SAi(M1),

c SAi(M2) − SAi(M3)