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http://dx.doi.org/10.36498/kbigdt.2020.5.2.85

A Trip Mobility Analysis using Big Data  

Cho, Bumchul (한국교통연구원 빅데이터교통연구본부)
Kim, Juyoung (한국교통연구원 빅데이터교통연구본부)
Kim, Dong-ho (한국교통연구원 빅데이터교통연구본부)
Publication Information
The Journal of Bigdata / v.5, no.2, 2020 , pp. 85-95 More about this Journal
Abstract
In this study, a mobility analysis method is suggested to estimate an O/D trip demand estimation using Mobile Phone Signaling Data. Using mobile data based on mobile base station location information, a trip chain database was established for each person and daily traffic patterns were analyzed. In addition, a new algorithm was developed to determine the traffic characteristics of their mobilities. To correct the ping pong handover problem of communication data itself, the methodology was developed and the criteria for stay time was set to distinguish pass by between stay within the influence area. The big-data based method is applied to analyze the mobility pattern in inter-regional trip and intra-regional trip in both of an urban area and a rural city. When comparing it with the results with traditional methods, it seems that the new methodology has a possibility to be applied to the national survey projects in the future.
Keywords
Mobile Phone Signaling Data; Big Data; Mobility; Trip Chain; Origin-Destination;
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