Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to infer the supply and demand match for cultural ecosystem services. Probabilities were given within the referenced paper. The vertices are:
Density of bus and subway stations (Low, High);
Road density (Low, High);
Density of public parking lots (Low, High);
Convenience for tourists to arrive (Low, Medium, High);
Convenience for visitors after arrival (Low, Medium, High);
Green space coverage rate (Low, Medium, High);
Whether there is a water body or not (No, Yes);
Recreational convenience (Low, Medium, High);
Aesthetic value of landscape (Low, Medium, High);
Population density (Low, Medium, High);
CES supply of communities (Low, Medium, High);
CES demand of communities (Low, Medium, High);
Balance of supply and demand (Deficit, Balance, Surplus).
Wu, J., Jin, X., Wang, H., & Feng, Z. (2022). Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China. Ecological Indicators, 142, 109165.