%0 Journal Article %A Yanni WANG %A Hai CHEN %A Shixiong SONG %A Yajun MEI %A Xin WEN %T Simulation of households' planting behavior based on a CR-BDI model: Case study of Jiangxingzhuang Village of Mizhi County in Shaanxi Province %D 2016 %R 10.18306/dlkxjz.2016.10.009 %J PROGRESS IN GEOGRAPHY %P 1258-1268 %V 35 %N 10 %X

At present, the research of agent-based modeling (ABM), which considers farming households' bounded rational behavior and uses simulation platform to simulate farming households' land use behavior, has become a focus of land use and land cover change simulation. Based on the beliefs-desires-intention (BDI) model, this study constructed a bounded rationality-resources (CR-BDI) model. A case study was conducted for Jiangxingzhuang Village of Mizhi County in Shaanxi Province. To verify the effectiveness of the CR-BDI model, a comparison between CR-BDI and BDI modeling results was performed. A number of observations and conclusions can be drawn: (1) Compared to the BDI model, a more realistic representation of farming households' decision-making process was provided by the CR-BDI model. The simulation accuracy of the CR-BDI model of 2014 is 93.22%, 8.48% higher than that of the traditional BDI model. The spatial distribution accuracy of the CR-BDI model output is 10.1% higher than that of the traditional BDI model. The simulated results of all crops (except scallion) in the CR-BDI model were of higher accuracy than in the BDI model. In 2015, the spatial accuracy of the CR-BDI model output is 78.8%, 9.6% higher than that of the traditional BDI model. (2) The indicator of CR is suitable for reflecting the bounded rationality of farming households, and matches the actual planting decision of farming households better. (3) The NetLogo platform is useful for representing farming households' land use behavior and provides a new way to research land use and land cover change.

%U https://www.progressingeography.com/EN/10.18306/dlkxjz.2016.10.009