adventure Models

These models and simulations have been tagged “adventure”.

 Overview  The model explores the interactions between mountain biking industry and logging industry in Derby, Tasmania. Although both industries promote the economy, they generate income at a different rate and at each other's expense. Given such competing relationship, this model focuses on demons
Overview
The model explores the interactions between mountain biking industry and logging industry in Derby, Tasmania. Although both industries promote the economy, they generate income at a different rate and at each other's expense. Given such competing relationship, this model focuses on demonstrating to what extent can these two industries co-exist through runing simulation. Further, the model explores the conditions under which one may adversely impact the other. 
How does the model work?
We build two models for forestry and mountain biking respectively. Each model demonstrates how the industry imposes influences and benefits the economy as a whole. 
  • With mountain bike visits, forestry enhances the scenary and increases excitement and adventure, that will lead to better tourist experiences and recommendation. As such, more visitors come to the park, that boosts the economy through higher tourism income. 
  • From the perspective of logging, logging creates employment opportunities and generates income from timber. On the other hand, it also degrades the scenary and the experience of mountain bikers looking for adventure. The immediate effect is the decreasing amount of visitors. However, fewer visitors improve experience and may pull up amount of park visits. 
Interesting Insights
  • As shown from the simulation results, logging does not deter the development of mountain biking in Derby. Over the long term, adventure tourism is expected to continuously generate increasing income. This is attributable to the direct income from park charges, as well as accompanying spending in restaurants and accommodation. As a result, the total economic benefits for the local area is positive and tends to increase over time. 
  • In addition, past experience fluctuates as the amount of visitors changes. These two variables interact and impose impacts on each other. More visitors will degrade the experience and decrease park visits, which will in turn improve the experience and increase park visits. 
  • Moreover, demand for timber actually promotes adventure tourism through creating more job opportunities, which would increase park visits.