An Spatial and Time Analysis Method of Big Bata of Public Transport Card Base on Classification Statistics and Visualization

EasyChair Preprint 3147

Abstract

This paper presents a spatial and time analysis method of big data of public transport card based on classification statistics and visualization , including the use of classification statistics to obtain different types of IC card type distribution, swiping card number distribution, passenger flow time distribution, to determine the peak passenger flow and to Visualization method presented, and to do an effect analysis about reduce the number of bus swiping card in peak period , so as to provide a basis for public policy development. Secondly, taking Xiamen city as an example, using the above methods, it is concluded that the student cards’ swiping card peak period share more time with all peak period. Here, two measures are proposed to increase the amount of student card swiping in peak hours and to set up student special line, so as to alleviate congestion and estimate the implementation effect.

Keyphrases: Bus swiping card data, Classification statistics, Discount card, Peak period, urban traffic, visualization

@booklet{EasyChair:3147,
  author    = {Cheng Ding and Cheng Wang and Yu Cao and Jianwei Chen},
  title     = {An Spatial and Time Analysis Method of Big Bata of Public Transport Card Base on Classification Statistics and Visualization},
  howpublished = {EasyChair Preprint 3147},
  year      = {EasyChair, 2020}}