Method for visually analyzing city common bicycle system borrowing and returning mode

Abstract

The invention discloses a method for visually analyzing a city common bicycle system borrowing and returning mode. The method comprises steps that 1, the common bicycle data is collected and is further pre-processed; 2, a geographic view is designed on the basis of the spatial perspective, geographic position distribution of a station is visually displayed, a space filtering function is further provided, and an analyzer is facilitated to interactively select a station or a station set; 3, on the basis of the time perspective, a single station borrowing and returning time domain heat view is designed; a visual coding mode similar to a table is employed to display borrowing and returning change and difference of a certain station at different time segments; 4, on the basis of the spatial perspective, a station borrowing and returning association view is designed, and multiple-to-multiple station borrowing and returning relationships are displayed; and 5, a multi-attribute view is designed. The method is advantaged in that understanding of traffic management staff about an operation situation of a common bicycle system can be effectively improved, data analysis efficiency is improved, and auxiliary decision is provided for station management and vehicle scheduling.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method for visually analyzing the loan-return mode of an urban public bicycle system. Background technique [0002] The urban public bicycle system provides a shared bicycle rental service, which is a new and green public transportation mode. In the past 10 years, major cities in the world, such as Paris, New York, Barcelona, ​​etc., have established public bicycle systems. [0003] In a city with a public bicycle system, there are public bicycle stations all over the place. There are multiple immobilizers in each station for parking volume. The user borrows the car from the station closer to the departure point through the IC card, and returns the car to the station closer to the destination. Using advanced network technology, vehicle leasing information can be tracked and stored in the database. This information contains the digital footprint of users movi...

AI Technical Summary

Problems solved by technology

Existing visual analysis methods use simple histograms, line graphs, etc. to display the spatio-temporal attributes of data, not only do not design suitable visual representations for the inherent characteristics of the data, but also lack of multiple factors that affect vehicle borrowing and returning (such as weather conditions, Comprehensive analysis of holidays, etc.)

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