Browse > Article
http://dx.doi.org/10.7782/JKSR.2017.20.5.692

Public Transportation Alighting Estimation Method Using Smart Card Data  

Kim, Kyoungtae (Korea Railroad Research Institute)
Lee, Inmook (Korea Railroad Research Institute)
Publication Information
Journal of the Korean Society for Railway / v.20, no.5, 2017 , pp. 692-702 More about this Journal
Abstract
Recently, there has been a growing interest in using smart card data. However, there are restrictions on the utilization of data in many areas outside the Seoul metropolitan area because the data does not contain alighting information. This paper presents a methodology for estimating alighting stops of smart card data. Estimation results were verified by smart card data from Seoul and Gwangju. The estimation rates were 78.2% and 81.6% in Seoul and Gwangju, respectively. The matching accuracy was 54.2% and 33.4%, respectively. However, if up to two stops of error are allowed, the accuracy values were 93.6% and 94.0%, respectively. We also discussed changes in estimation results due to adjusting the allowable walking distance, which is a key parameter of trip chaining methods. As the allowable walking distance increases, the estimation rate increases, while the accuracy decreases, and it is found that the estimation results change by around 500m.
Keywords
Alighting stop estimation; Public transport OD estimation; Trip chain; Smart card data; AFC data;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J. Barry, R. Newhouser, A. Rahbee, S. Sayeda (2002) Origin and destination estimation in New York City with automated fare system data, Transportation Research Record: Journal of the Transportation Research Board, 1817, pp. 183-187.   DOI
2 J. Zhao, A. Rahbee, N. H. M. Wilson (2007) Estimating a rail passenger trip origin-destination matrix using automatic data collection systems, Computer-Aided Civil and Infrastructure Engineering, 22(5), pp. 376-387.   DOI
3 M. Trepanier, N. Tranchant, R. Chapleau (2007) Individual trip destination estimation in a transit smart card automated fare collection system, Journal of Intelligent Transportation Systems, 11(1), pp. 1-14.   DOI
4 N. Nassir, A. Khani, S. Lee, H. Noh, M. Hickman (2011) Transit stop-level origin-destination estimation through use of transit schedule and automated data collection system, Transportation Research Record: Journal of the Transportation Research Board, (2263), pp. 140-150.
5 W. Wang, J. P. Attanucci, N. H. M. Wilson (2011) Bus passenger origin-destination estimation and related analyses using automated data collection systems, Journal of Public Transportation, 14(4), p. 7.
6 M. Munizaga, C. Palma (2012) Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile, Transportation Research Part C: Emerging Technologies, 24, pp. 9-18.   DOI
7 The Korea Transport Institute (2014) Research on methodology to improve credibility of passenger O/D travel, Ministry of Land, Infrastructure and Transport, 2014 Korea Transport Investigation and Database Building Project.
8 M. Munizaga, F. Devillaine, C. Navarrete, D. Silva (2014) Validating travel behavior estimated from smartcard data, Transportation Research Part C: Emerging Technologies, 44, pp. 70-79.   DOI
9 A. Alsger, B. Assemi, M. Mesbah, L. Ferreira (2016) Validating and improving public transport origin-destination estimation algorithm using smart card fare data, Transportation Research Part C: Emerging Technologies, 68, pp. 490-506.   DOI
10 L. He, N. Nassir, M. Trepanier, M. Hickman (2015) Validating and calibrating a destination estimation algorithm for public transport smart card fare collection systems.
11 A. Alsger, M. Mesbah, L. Ferreira, H. Safi (2015) Use of smart card fare data to estimate public transport origin-destination matrix, Transportation Research Record: Journal of the Transportation Research Board, 2535, pp. 88-96.   DOI
12 L. He, M. Trepanier (2015) Estimating the destination of unlinked trips in transit smart card fare data, Transportation Research Record: Journal of the Transportation Research Board, (2535), pp. 97-104.