| Firstly,this paper summarizes the study of urban expansion.Secondly,the article proposes that the urban spatial expansion model is based on multi-objective grey decision,CA,and neighborhood spatial,and Then design the software and conduct instance verification.The research work is divided into three steps:(1)Model construction.The city expansion model is based on the CA and multi-objective grey decision-making method to realize the close coupling of the city driving factor and the cellular neighborhood function,and finally build a complete urban expansion model.(2)System development.Firstly,UML visual modeling technology is used to build a detailed scheme of software framework design,interface design and function design.Then the development of urban space expansion system is realized under Microsoft Visual Studio and GIS platform.(3)Examples of verification.Taking the Chengdu Pidu district as a systematic test case,the city’s expansion predictions were simulated and the city’s expansion trend was analyzed.This paper draws the following conclusion:(1)The urban space expansion model proposed in this paper improves the degree of real impact effect.The model embodies the driving characteristics and expansion scenarios in the real situation of the city.The model eliminates the strong correlation between driving factors.It can enhance the spatial simulation analysis ability of the model in the alternate complex environment system.The model achieves the intrinsic conversion relationship of urban spatial expansion under the condition of taking into account the neighborhood effect and the random character of the urban cell,and overcomes the problem of uncertain prediction results caused by the uncertainty of the urban driving factor and urban CA coupling.The establishment of urban spatial expansion conversion rules from both macro and micro perspectives has greatly improved the accuracy of urban expansion simulation results.After simulations,the simulation error of urban space expansion is less than 5.27%,and the overall Kappa coefficient reaches 0.84,indicating that the model can better capture the intrinsic conversion mechanism of the city.The use of this method is of great value for the further exploration of the driving principles of land type conversion and land development potential research.(2)The development and design of the city expansion system software will greatly improve the development of the city CA system with relatively messy and decentralized development.It will provide a reference for the integration and development of mature and unified CA software,and it can be a powerful tool for understanding the urban evolution phenomenon.At the same time,it makes up for the deficiencies in GIS computing capabilities and provides users with a convenient and stable space simulation analysis environment.Using the integrated developed urban space expansion system to simulate and predict Chengdu’s Yaodu District,the results are reasonable and the effectiveness of the system is verified.It shows that the development of urban expansion simulation system in the environment of Microsoft Visual Studio and GIS secondary development platform is a better choice..At the same time in the development process based on UML visual modeling language proposed urban expansion system design program to facilitate the exchange of different software design counterparts.(3)In this study,based on the study of Chengdu’s Pidu District as a research area/research object,the urban spatial simulation prediction and land development model analysis was carried out: that is,the urban growth model with concentrating and contiguous“urban intensive development” model.This extended model is consistent with the theory of sustainable development and eco-urbanization design.And verified the adaptability of the urban expansion model.The simulation results reflect the scene characteristics of urban expansion and evolution to a certain extent,especially the trend of urban expansion and trends in the urban-rural areas,which is of great significance for the government to formulate an effective land management policy. |