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http://dx.doi.org/10.12815/kits.2016.15.4.044

A Study on the Application of Spatial Big Data from Social Networking Service for the Operation of Activity-Based Traffic Model  

Kim, Seung-Hyun (University of Seoul)
Kim, Joo-Young (University of Seoul)
Lee, Seung-Jae (University of Seoul)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.15, no.4, 2016 , pp. 44-53 More about this Journal
Abstract
The era of Big Data has come and the importance of Big Data has been rapidly growing. The part of transportation, the Four-Step Travel Demand Model(FSTDM), a traditional Trip-Based Model(TBM) reaches its limit. In recent years, a traffic demand forecasting method using the Activity-Based Model(ABM) emerged as a new paradigm. Given that transportation means the spatial movement of people and goods in a certain period of time, transportation could be very closely associated with spatial data. So, I mined Spatial Big Data from SNS. After that, I analyzed the character of these data from SNS and test the reliability of the data through compared with the attributes of TBM. Finally, I built a database from SNS for the operation of ABM and manipulate an ABM simulator, then I consider the result. Through this research, I was successfully able to create a spatial database from SNS and I found possibilities to overcome technical limitations on using Spatial Big Data in the transportation planning process. Moreover, it was an opportunity to seek ways of further research development.
Keywords
Big Data; Spatial Big Data; Social Networking Service(SNS) Analysis; Activity-Based Model; Trip chain;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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