数字城市中的决策支持模型研究——以多元韦伯区位模型为例

Research on the DSS Models in "Digital City"──Taking Multisource Weber Problem As an Example

“数字城市”研究是当前地理信息科学研究的一个热点 ,其目的之一就是要利用现有的各种数据、信息 ,在综合、全面地分析后 ,为城市的规划管理和可持续发展提供决策支持。因此 ,决策支持系统也是实现数字城市不可或缺的关键技术之一。模型是决策支持系统的核心 ,在系统中选用合适的模型 ,并按一定的标准进行设计和实现 ,组成系统模型库 ,是保障系统做出正确决策的基础。首先对数字城市中具有代表性的规划决策支持系统设计中几个一般问题进行了讨论。其次在介绍设施区位模型和一种基于人工神经网络算法的基础上 ,进一步实现了模型。最后利用该模型对上海浦东新区两个居民新村的公共服务设施布局进行了研究 ,建立了一个简单的公共服务设施规划决策支持系统。

Research on the 'Digital city' is one of the key points in the Geo-information science. One aim of 'Digital city' is to provide decision support to urban planning and management, as well as sustainable development. Consequently, decision support system becomes one of the key technologies of the realization of 'Digital city'. As the core of Decision Support System, model is of great importance. In model base, how to choose, design and implement the right model according to appropriate standards was the guarantee of correct decisions. Suitable models with certain design, realization and the establishment of model base are the bases of correct decision. This paper firstly discusses on some problems of the design of plan decision support system in 'Digital city', including the composition of Planning Decision Support System and its relation between GIS, their integrate style, the application of object oriented method and component technology in the developing of Planning Decision Support System and the design of model etc. Then, we introduce Multisource Weber Problem and an algorithm based on artificial neural network. Implemented by VC++, the model was tested by using it in the public service facility planning of two new resident sites in Pudong New Area.