Abstract
Among studies on urban area development, information classification is one of the important aspects. This paper analyzes the current situation and problems on the simulation of urban area development and puts forwards the concept of government information resources for urban area development under the era of big data. After analyzing related research at home and abroad and the specific needs for urban area development simulation, principles and methods suitable for classification of government information resources for urban area development is suggested. Based on the above studies, the classification system of government information resources for urban area development is constructed, which includes urban fundamental geographic information urban thematic information and special information about urban simulation system. Furthermore, the paper discusses its data coding scheme. Finally, an application system based on the above research is developed for simulating distribution of urban land and traffic loads of Wuhan.
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This research has been funded by National Key Technology R&D Program (NO. 2012BAH24B00) and National Natural Science Foundation of China (NO. 51178236).
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Zhou, W., Zhang, S., Shi, H. (2016). Research on Classification and Coding of Government Information Resources for Urban Area Development. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_13
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DOI: https://doi.org/10.1007/978-3-662-49155-3_13
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