These models and simulations have been tagged “Logging-Industry”.
This is a system dynamic model to
describe relationship between local logging industry and biking tourism in
Tasmanian Derby Mountain.
In the dynamic model, the left-hand side shows how Derby
get income from local biking tourism. The biking visitors number are influenced
by scenery evaluation which depend on local size of forest and influenced government policy support when Biking Tourism income
is over 1000 unit. Biking visitors with good recommendation will also back to
Mountain Derby and bring income for local in twice or more times. In the right-hand side, we found the income of
logging industry was influenced by local logging growth rate and government
policy if local Biking Tourism income is over 1000 unit. The increase of
logging industry will also increase local employment which will influence employee
cost. This factor will also affect total logging income in Derby Mountain.
The simulation results show, with governments support the
Biking tourism will increase sharply in the first few years and finally instead
local logging industry, at same time bring good environment and save local
forest under local increase logging industry. The recommendation graph shows
that, the number of good recommendation & bad recommendation for Derby
Mountain biking tourism will also increase in high speed in front of few years
with data fluctuation but finally maintain in a stable line. Last simulation
graph shows that how policy factor influences logging and biking industry. The Government
has strong support in local tourism, however, as number of tourists increase,
the positive impact from government support will continue decrease. On the contrary,
the government support influence will also decease to local logging industry when
logging been instead by tourism.