Urban space structure inference and evolution prediction method and system using GPS trajectory data, terminal and storage medium

Abstract

The invention discloses an urban space structure inference and evolution prediction method and system using GPS trajectory data, a terminal and a storage medium, and the method comprises the steps: taking an urban multi-scale space as a basis, integrating OD data, and constructing an interactive network model of the urban multi-scale space and a travel trajectory; calculating urban built environment attributes according to the multi-source heterogeneous data; and taking the interactive network model and the city built-up environment attributes as input, constructing a city space structure evolution model based on the cellular automaton, and simulating and predicting the space evolution process of the city function area in the future period by taking the existing city function layout as an initial state and combining a neighborhood rule and an external environment factor driving rule. According to the method, urban function layout is extracted through multi-period GPS trajectory data, a space interaction network with areas as nodes and travel links as edges is constructed, an urban structure is identified, and the evolution process of the urban space structure is simulated with an existing built-up environment as an external constraint and the function layout as an initial state of a cellular automaton.

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