[Objective] The objective of the paper is to investigate the changes in land use structure and driving forces of land use change

and develop predicting method. It will provide a reference for land use decision

especially for inhibiting construction land expansion and optimizing urban & rural land use structure with social and economic development. [Methods] We used principal component analysic(PCA)

Logistic and Markov methods to detect the driving forces of land use change

and developed predicting methods based on mechanism and relations of state transition probability matrix of land use structure and driving factors. [Results] At Taixing City of Jiangsu Province

which is located in the “Yangtze River Delta” economic region

we measured the multiple driving-forces of changes in land use structure including urban development

economic policy

market and management. The land expansion by the urban industrial and mining increased by 25.85%

and the cultivated land was reduced by 22.21%. We also predicted the land use structure in 2010—2020

and the prediction accuracy was increased by 0.52% in study area. [Conclusion] The prediction model based on multiple driving-factors can explain relations between land-use change and its driving forces

improve prediction accuracy

and provide a new method for analyzing regional land use change.