Urban path image generation method combining questionnaire survey and streetscape pictures

Abstract

The invention discloses an urban path image generation method combining questionnaire survey and street view pictures, and the method comprises the steps: recording the start and end points of travelof residents and the feeling along the way in a given region range; capturing longitude and latitude coordinates of a starting point and an ending point and generating all travel paths; obtaining a main travel path of residents in a given territorial range by utilizing a linear density analysis method, and uniformly obtaining view finding points of street view pictures on the main path and tangentangles of the view finding points on the path by adopting an equidistant sampling method; dividing factors such as sky, buildings, afforestation and roads on the streetscape picture, calculating to obtain an average sky view rate, a building view rate, an afforestation view rate and a road view rate of the main path, and forming a space composition of the main path; integrating the main path space composition of the research area and the main path feeling score of residents to form an urban path image. Objective reality of a city and subjective feelings of people are comprehensively considered, and a research method of a city image is expanded.

Description

technical field [0001] The invention relates to the technical field of urban planning and design analysis, in particular to a method for generating urban path images combined with questionnaires and street view pictures. Background technique [0002] The five spatial elements of urban imagery: region, boundary, node, path, and sign, and take the five elements as the basic method of recognizing urban imagery, and attach importance to the perception of urban space environment by individual residents or groups. An important example of structure. In the existing schemes, traditional methods such as cognitive maps rely more on human subjective judgment, and the results obtained are not objective. However, although new data methods such as network open data reduce randomness to a certain extent, they can reflect the image of the city more reasonably. However, the statistics obtained are too macroscopic and abstract. In view of this, urban image research needs a comprehensive, eff...

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Problems solved by technology

In the existing schemes, traditional methods such as cognitive maps rely more on human subjective judgment, and the results obtained are not objective. However, although new data methods such as network open data reduce randomness to a certain extent, they can reflect the image of the city more reasonably. However, the statistics obtained are too macroscopic and abstract. In view of this, urban image research needs a comprehensive, efficient and objective method to make up for the above shortcomings

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