On Application Of Digitalized Information Feedback And Management In Urban Planning

Information feedback and management becomes more and more important in urban planning process. Due to the tremendous development of digital information technology, the social context and the human behavior mode changed. The mode of collection and maintenance of data should be altered accordingly.Comparing to the traditional technology of information collection, the digitalized technology of information collection is advanced in real time reaction, reliability and low cost benefit during the process, and there is no time and space limit. These advantages are the reasons for why construct the information feedback platform with the digitalized technology of information collection.Comparing to the tradition technology of information management, the digitalized technology of information management is good at dealing with larger quantity of data flow in a shorter period, intelligent analysis and the regulation discovery. These advantages are the reasons for why reform the information management method with the digitalized technology of information management.This thesis follows the innovation of the construction on the platform which functions for information feedback and the system which effects on data management which could be utilized in urban planning. On the theme of the platform construction of information feedback, the thesis collects topics on data index, the mode of information collection, the user interface and the CGI gateway. On the theme of information management, the thesis discusses the principle of information catalog, the data warehouse, the data mining and the knowledge discovery. Then, the thesis suggests a initial model which combines the platform of information feedback and the management system of information in one.At the end of thesis, the author points out the questions which need to be answered in current and forecasts the trend of development in the near future. The questions are, the limits of CGI net gate, the management of the construction of data warehouse and the data quality, datavisualization and the scale of the warehouse in knowledge discovery. The trends of development of knowledge discovery, the computer assisted decision and the collection method of data are also discussed.