Visualization Method of TOD Development Process Based on Big Data

Abstract

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