Visualization Method of TOD Development Process Based on Big Data

With the rapid development of urbanization and motorization in China, urban problems such as low-quality land spread low efficiency transportation are becoming increasingly prominent. It has become an effective method to solve traffic environment by using TOD theory, while mass rail transit best carrier model. is a powerful means optimize use, planning, which provides possibility for organic combination use development. This paper mainly studies visualization process based on big data. In model guided public transport, this analyzes planning points mode, also advantages, disadvantages, opportunities threats transit(URT) prove reliability process. scale algorithm network, environmental pollution caused various modes ratio types chart analysis. The experimental results show that most important vehicle cities automobiles, energy consumption Metro light only 0.84, carbon dioxide emissions 1.21 noise 0.42. it smallest, worth expanding. terms proportion type land, residential core neighborhood, accounting 62.5%, used 55%. different main functions different.