Organizational architecture of smart urban planning simulation model in big data environment

Abstract

With the deepening of the pilot work of smart cities, the traditional two-dimensional vector data lacks intuition in expression, and can no longer meet the needs of scientific and refined work. At present, most top-level planning of smart cities tend to pay more attention to information service construction, neglecting the ultimate demand of urban development centered on the economical layout of urban space and the rational allocation of factor resources. In view of this, based on the design of urban planning and simulation model under big data environment, this paper explores the inherent law of urban operation through big data analysis of the problems existing in urban operation, and shapes the large data space of smart city according to data dimension, business system set and data exchange catalogue to effectively improve the scientific level of urban planning and construction of smart cities, provide scientific prediction for sustainable urban development, put forward reasonable intervention measures and public policies through planning means, and alleviate or improve the urban living environment, traffic congestion, pollution and other urban problems.