Browse > Article
http://dx.doi.org/10.12815/kits.2018.17.6.67

A Study on Selected Station Analysis of AFC-Based Integrated Transit Network - Focused on Subway Transfer Stations in Seoul Metropolitan Area -  

Lee, Mee Young (Korea Research Institute for Human Settlements)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.17, no.6, 2018 , pp. 67-83 More about this Journal
Abstract
This research is motivated by the question, "Where, when, and through what mode does an individual passenger moving within a subway station use to travel from starting to final destinations ?" To answer this, the stations passed by the individual passenger, the path taken, and modes used need to be known beforehand. In the metropolitan integrated public transportation fare system, Automated Fare Collection System(AFC) can be a source of information on transit modes, stations, and paths of individual passengers. AFC calculates a fare for the passenger based on travel data such as boarding and alighting stations, time, and mode used. In this research, an Selected Station Analysis(SSA) method, in which AFC data is used to observe passenger movement in the metropolitan public transportation subway station from the perspective of subway transfer stations, is proposed. SSA subdivides individual passenger movement in transfer stations and analyzes initial station/time and final destination station/time information using the trip chain perspective.
Keywords
AFC(Automated Fare Collection System); SSA(Selected Station Analysis); Trip Chain; Subway Station; Least Travel Time Path;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Beckmann M. J., McGuire C. B. and Winstern C. B.(1956), Studies int the Economics of Transportation, Yale University Press, New Haven, Conn.
2 Dafermos S.(1980), "Traffic Equilibrium and Variational Inequalities," Transportation Science, 14, pp.42-54.   DOI
3 Dafermos S.(1982), "Relaxation Algorithm for the General Asymmetric Traffic Equilibrium Problem," Transportation Science, 16, pp.231-240.   DOI
4 Fisk C. S. and Nguyen S.(1982), "Solution Algorithm for network Equilibrium Models with Asymmetric User Costs," Transportation Science, 16, pp.361-381.   DOI
5 Florian M. and Spicess H.(1982), "The Convergence of Diagonalization Algorithm for Astmmetric Network Equilibrium Problems," Transportation Research 16B, pp.477-483.
6 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
7 Lee M.(2004), Transportation Network Models and Algorithms Considering Directional Delay and Prohibitions for Intersection Movement, Ph.D. Thesis, University of Wisconsin at Madison.
8 Shin S.(2011), Constructing An Optimal Integrated Public Transit Network, Seoul Development Institute.
9 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.1-123.   DOI
10 Lee M.(2018), "An Analysis Model on Passenger Pedestrian FLow within Subway Stations : Using Smart Card Data," Accepted for publication in The Journal of The Korea Institute of Intelligent Transport Systems.
11 Wardrop J. G.(1952), "Some Theoretical Aspects of Road Traffic Research," Proc. Inst. Civ. Eng., Part II, 1, pp.325-378.