Browse > Article
http://dx.doi.org/10.12815/kits.2019.18.5.100

Establishment and Application of Subway Line Chain OD Using SSA  

Lee, Mee Young (Korea Research Institute of Human Settlements)
Nam, Doohee (School. of Social Science, Hansung University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.18, no.5, 2019 , pp. 100-111 More about this Journal
Abstract
The existing selected station analysis (SSA) method analyzes the link transfer mode data between origin and destination of individuals passing through stations from a microscopic standpoint. As such, existing SSA is insufficient as it uses integrated analysis using macroscopic data such as subway lines. This research builds a line chain OD based on path search of individual passenger's movement through the subway, and explores means to utilize the findings. First, a method is proposed that searches the traversed subway path from the linked passage modes that the passenger uses and applies the results to SSA line analysis. Compared to the existing SSA, this method provides for analysis of commonly conflicting features such as the line on which the station is passed, and the stations included on the line thanks to the presence of complete information of the individual passenger's traversed path. It also allows for integrated observation of the line chain OD that approaches a certain station. For enhanced understanding, Seoul Metro Line 9 is used as a case study to demonstrate the integrated formulation concept of line chain OD centered around a certain station as well as the macroscopic features of the traversed path that approaches stations included on the line.
Keywords
Selected Station Analysis; Line Chain OD; Route Choice Model; Smart Card; Big Node Network;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Azevedo J. A., Costa M. E. O. S., Madeira J. J. E. R. S. and Martins E. Q. V.(1993), "An Algorithm from the Ranking of Shortest Paths," European Journal of Operational Research, vol. 69, pp.97-106.   DOI
2 Beckmann M. J., McGuire C. B. and Winstern C. B.(1956), Studies int the Economics of Transportation, Yale University Press, New Haven, Conn.
3 Dafermos S.(1980), "Traffic Equilibrim and Variational Inequilities," Transportation Science, vol. 14, pp.42-54.   DOI
4 Gabriel S. and Bernstein D.(1997), "The Traffic Equilibrium Problem With Nonadditive Path Costs," Transportation Science, vol. 20, no. 5, pp.337-348.   DOI
5 LeBlanc L. J., Morlock E. K. and Pierskalla W.(1975), "An Efficient Approach to Solving the Road Network Equilibrium Traffic Assignment Problem," Transportation Research, vol. 9, no. 5, pp.309-318.   DOI
6 Lee M.(2017), "Transportation Card Based Optimal M-Similar Paths Searching for Estimating Passengers' Route Choice in Seoul Metropolitan Railway Network," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 16, no. 2, pp.1-12.   DOI
7 Lee M.(2018), "A Study on Selected Station Analysis of AFC-Based Integrated Transit Network: Focused on Subway Transfer Stations in Seoul Metropolitan Area," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 17, no. 6, pp.67-83.   DOI
8 Lee M., Shin S. and Kim B.(2018), "An Analysis Model on Passenger Pedestrian Flow within Subway Stations: Using Smart Card Data," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 17, no. 6, pp.14-24.
9 Sheffi Y.(1985), Urban Transportation Network, Prentice Hall, Eaglewood Cliffs, New Jersey.
10 Shin S.(2004), "Finding the First K Loopless Paths in A Transportation Network," Journal of Korean Society of Transportation, vol. 22, no. 6, pp.121-131.
11 Shin S., Baek N. C. and Nam D. H.(2016), "A Heuristic Optimal Path Search Considering Cumulative Transfer Functions," The Journal of The Korea Institute of Intelligent Transport Systems, vol. 15, no. 3, pp.60-67.   DOI