It shows a cycle of Residents (left-side). Once they become interested in buying a property and become home buyers, they are back to becoming homeowners. The Birth Rate has been added because household owners can breed and have their children to grow up becoming interested in buying a property. Once they become interest in buying, this instantly increases the Demand. As a result, the Interest Rate also affects the interest of home owners, has the higher the interest rate, the less likely they would want to buy.

Another cycle is the Properties cycle (right-side). Similar to the Birth Rate, there is the Construction Rate which gradually increases over time as new buildings are built and are entered in the market place. Once it is on sale, it gets sold and remains on the market.

Ultimately, the Price affects and is affected by the Supply and Demand. The higher the Price is, the less of the Demand as residents would rather buy a property at a cheaper rate. As a consequence, the higher the Price, the higher the Supply is as no one is there to buy property and the number of Supply is accumulate due to construction.   Simultaneously, as the number of properties (Supply) available on the marketplace increases due to construction, the number of people interested in buying (Demand) decreases since there are more properties for them to buy. This is how the Supply, Demand and Price clash with each other.

The Inflation Rate has been added, as it can increase the number of properties since this gives a good opportunity for investors to add properties to the market.

During the simulation the graph, if the Interested in Buying (Demand) line intersects with the Properties on Sale (Supply), this is an equilibrium which means there is just enough properties for the amount of people (e.g 60 houses for 60 homebuyers). However, if the Supply is less than the Demand, than there is a shortage, meaning the construction rate should be increased. 

Below are sliders which the users can adjust showing how each of the variable have an effect on each other. 

It shows a cycle of Residents (left-side). Once they become interested in buying a property and become home buyers, they are back to becoming homeowners. The Birth Rate has been added because household owners can breed and have their children to grow up becoming interested in buying a property. Once they become interest in buying, this instantly increases the Demand. As a result, the Interest Rate also affects the interest of home owners, has the higher the interest rate, the less likely they would want to buy.

Another cycle is the Properties cycle (right-side). Similar to the Birth Rate, there is the Construction Rate which gradually increases over time as new buildings are built and are entered in the market place. Once it is on sale, it gets sold and remains on the market.

Ultimately, the Price affects and is affected by the Supply and Demand. The higher the Price is, the less of the Demand as residents would rather buy a property at a cheaper rate. As a consequence, the higher the Price, the higher the Supply is as no one is there to buy property and the number of Supply is accumulate due to construction.   Simultaneously, as the number of properties (Supply) available on the marketplace increases due to construction, the number of people interested in buying (Demand) decreases since there are more properties for them to buy. This is how the Supply, Demand and Price clash with each other.

The Inflation Rate has been added, as it can increase the number of properties since this gives a good opportunity for investors to add properties to the market.

During the simulation the graph, if the Interested in Buying (Demand) line intersects with the Properties on Sale (Supply), this is an equilibrium which means there is just enough properties for the amount of people (e.g 60 houses for 60 homebuyers). However, if the Supply is less than the Demand, than there is a shortage, meaning the construction rate should be increased. 

Below are sliders which the users can adjust showing how each of the variable have an effect on each other. 

It shows a cycle of Residents (left-side). Once they become interested in buying a property and become home buyers, they are back to becoming homeowners. The Birth Rate has been added because household owners can breed and have their children to grow up becoming interested in buying a property. Once they become interest in buying, this instantly increases the Demand. As a result, the Interest Rate also affects the interest of home owners, has the higher the interest rate, the less likely they would want to buy.

Another cycle is the Properties cycle (right-side). Similar to the Birth Rate, there is the Construction Rate which gradually increases over time as new buildings are built and are entered in the market place. Once it is on sale, it gets sold and remains on the market.

Ultimately, the Price affects and is affected by the Supply and Demand. The higher the Price is, the less of the Demand as residents would rather buy a property at a cheaper rate. As a consequence, the higher the Price, the higher the Supply is as no one is there to buy property and the number of Supply is accumulate due to construction.   Simultaneously, as the number of properties (Supply) available on the marketplace increases due to construction, the number of people interested in buying (Demand) decreases since there are more properties for them to buy. This is how the Supply, Demand and Price clash with each other.

The Inflation Rate has been added, as it can increase the number of properties since this gives a good opportunity for investors to add properties to the market.

During the simulation the graph, if the Interested in Buying (Demand) line intersects with the Properties on Sale (Supply), this is an equilibrium which means there is just enough properties for the amount of people (e.g 60 houses for 60 homebuyers). However, if the Supply is less than the Demand, than there is a shortage, meaning the construction rate should be increased. 

Below are sliders which the users can adjust showing how each of the variable have an effect on each other. 

It shows a cycle of Residents (left-side). Once they become interested in buying a property and become home buyers, they are back to becoming homeowners. The Birth Rate has been added because household owners can breed and have their children to grow up becoming interested in buying a property. Once they become interest in buying, this instantly increases the Demand. As a result, the Interest Rate also affects the interest of home owners, has the higher the interest rate, the less likely they would want to buy.

Another cycle is the Properties cycle (right-side). Similar to the Birth Rate, there is the Construction Rate which gradually increases over time as new buildings are built and are entered in the market place. Once it is on sale, it gets sold and remains on the market.

Ultimately, the Price affects and is affected by the Supply and Demand. The higher the Price is, the less of the Demand as residents would rather buy a property at a cheaper rate. As a consequence, the higher the Price, the higher the Supply is as no one is there to buy property and the number of Supply is accumulate due to construction.   Simultaneously, as the number of properties (Supply) available on the marketplace increases due to construction, the number of people interested in buying (Demand) decreases since there are more properties for them to buy. This is how the Supply, Demand and Price clash with each other.

The Inflation Rate has been added, as it can increase the number of properties since this gives a good opportunity for investors to add properties to the market.

During the simulation the graph, if the Interested in Buying (Demand) line intersects with the Properties on Sale (Supply), this is an equilibrium which means there is just enough properties for the amount of people (e.g 60 houses for 60 homebuyers). However, if the Supply is less than the Demand, than there is a shortage, meaning the construction rate should be increased. 

Below are sliders which the users can adjust showing how each of the variable have an effect on each other. 

This is a model that shows logging vs adventure tourism in Derby.
Derby is on the north-east of Tasmania and is a small town that is known for it's beautiful forestry, scenery and more recently it's mountain bike trials. Due to dense forestry it also means the Derby is known for logging within the same area. 
This has meant competing priorities have emerged between mountain bike riding on their world famous mountain bike trails and logging on the same trials impacting both sides. The impact of noise from machinery and interrupted views has meant some dissatisfaction in tourism and will decrease tourism numbers in the area. An increase in adventure tourism can detract from logging as well, which until more trails opened in Derby Forestry had the most impact the local economy. Most of the logging goes towards high-quality products such as tas oak furniture which also has a high demand. 
This model shows that logging and mountain bike riding in Derby can co-exist. As the demand for the mountain bike Derby and park capacity increases the adventure tourism decreases as less people will want to visit Derby for mountain biking if over crowded. As both create revenue for the economy it is important that they co-exist and logging can be contained to certain areas away from mountain biking.  

It shows a cycle of Residents (left-side). Once they become interested in buying a property and become home buyers, they are back to becoming homeowners. The Birth Rate has been added because household owners can breed and have their children to grow up becoming interested in buying a property. Once they become interest in buying, this instantly increases the Demand. As a result, the Interest Rate also affects the interest of home owners, has the higher the interest rate, the less likely they would want to buy.

Another cycle is the Properties cycle (right-side). Similar to the Birth Rate, there is the Construction Rate which gradually increases over time as new buildings are built and are entered in the market place. Once it is on sale, it gets sold and remains on the market.

Ultimately, the Price affects and is affected by the Supply and Demand. The higher the Price is, the less of the Demand as residents would rather buy a property at a cheaper rate. As a consequence, the higher the Price, the higher the Supply is as no one is there to buy property and the number of Supply is accumulate due to construction.   Simultaneously, as the number of properties (Supply) available on the marketplace increases due to construction, the number of people interested in buying (Demand) decreases since there are more properties for them to buy. This is how the Supply, Demand and Price clash with each other.

The Inflation Rate has been added, as it can increase the number of properties since this gives a good opportunity for investors to add properties to the market.

During the simulation the graph, if the Interested in Buying (Demand) line intersects with the Properties on Sale (Supply), this is an equilibrium which means there is just enough properties for the amount of people (e.g 60 houses for 60 homebuyers). However, if the Supply is less than the Demand, than there is a shortage, meaning the construction rate should be increased. 

Below are sliders which the users can adjust showing how each of the variable have an effect on each other. 

Ref. to tasks: 

- 8.1 explizit material delays

Ref. to tasks:

- 6.1 Policy: Adapt desired COV to reduce fluctuation of price

Description:

Ref. to tasks: 

- 7.1 dynamic equilibrium valuables?

Ref. to tasks:

- 3.3 monitor inventory shortage and add new policy for saving INV stock for future consumptions.

- 4.1 extreme condition tests

- 5.2 policy: fulfillment rate

Description: