Movement Pattern Recognition of Urban Crowds Based on Public Transport Data Fusion:A Case Study of the Central Urban Area of Chongqing
Revealing the movement pattern of urban crowds is crucial for understanding the movement behavior of urban crowds,optimizing urban spatial structure and solving traffic problems.In response to the problems of insufficient data volume,poor accuracy,and insufficient real-time performance in traditional questionnaire methods,in this paper,a data-driven method for identifying the movement patterns of urban crowds is proposed by integrating bus card data,bus GPS data,route basic data and rail transit card data.Firstly,the multi-source public transport data were matched and fused,and then the mobile OD of the urban crowds taking bus and subway combined transportation was extracted,and then the stable residential and workplace loca-tions were identified,and finally the stable residential and workplace locations were used to interpret travel semantics,identif-ying mobility patterns for commuting,shopping,dining out,and other social activities.The method was validated using one week of public transportation data from the central urban area of Chongqing.The findings are as follows,① The crowd travel was mainly concentrated on weekdays,and the number of travelers decreased with the increase of travel frequency.② 79.34％of the extracted urban crowd showed the movement pattern of"two points and one line",13.03％of that showed the movement pattern between three points,5.99％of that showed the movement pattern between four points,and 1.64％of that showed the movement pattern between multiple points.The paper proposes a method to identify more comprehensive and detailed urban crowd movement patterns,which is helpful for city managers and planners to understand urban population movement trends and optimize urban resource allocation.
urban crowd movement patternbig data for public transportationthe central urban area of Chongqing
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