A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport
In the present study, we propose a methodology that predicts the number of passengers on new public transport lines based on smart card data and an optimal path finding algorithm. It employs a deterministic approach that assumes that, when a new line is added to the public transport network, passeng...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/8/3867 |
| _version_ | 1797437058770272256 |
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| author | Minhyuck Lee Inwoo Jeon Chulmin Jun |
| author_facet | Minhyuck Lee Inwoo Jeon Chulmin Jun |
| author_sort | Minhyuck Lee |
| collection | DOAJ |
| description | In the present study, we propose a methodology that predicts the number of passengers on new public transport lines based on smart card data and an optimal path finding algorithm. It employs a deterministic approach that assumes that, when a new line is added to the public transport network, passengers choose the fastest route to their destination. The proposed methodology is applied to actual lines (bus and subway lines) in Seoul, the capital of South Korea, and it is validated through the observed traffic volume of those lines recorded in the smart card data. The experiments are conducted using smart card data, with more than 100 million trips stored, extracted from about 1 million passengers who have check-in records in the catchment area of the new lines. The experimental results show that the proposed methodology predicts the daily average number of passengers very similar to the observed data. |
| first_indexed | 2024-03-09T11:12:32Z |
| format | Article |
| id | doaj.art-f5c9d10c5da246f1be5db5f15640b82d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T11:12:32Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f5c9d10c5da246f1be5db5f15640b82d2023-12-01T00:40:27ZengMDPI AGApplied Sciences2076-34172022-04-01128386710.3390/app12083867A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public TransportMinhyuck Lee0Inwoo Jeon1Chulmin Jun2Department of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, KoreaDepartment of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, KoreaDepartment of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, KoreaIn the present study, we propose a methodology that predicts the number of passengers on new public transport lines based on smart card data and an optimal path finding algorithm. It employs a deterministic approach that assumes that, when a new line is added to the public transport network, passengers choose the fastest route to their destination. The proposed methodology is applied to actual lines (bus and subway lines) in Seoul, the capital of South Korea, and it is validated through the observed traffic volume of those lines recorded in the smart card data. The experiments are conducted using smart card data, with more than 100 million trips stored, extracted from about 1 million passengers who have check-in records in the catchment area of the new lines. The experimental results show that the proposed methodology predicts the daily average number of passengers very similar to the observed data.https://www.mdpi.com/2076-3417/12/8/3867public transportprediction of ridershipsmart card datavalidationdeterministic methodology |
| spellingShingle | Minhyuck Lee Inwoo Jeon Chulmin Jun A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport Applied Sciences public transport prediction of ridership smart card data validation deterministic methodology |
| title | A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport |
| title_full | A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport |
| title_fullStr | A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport |
| title_full_unstemmed | A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport |
| title_short | A Deterministic Methodology Using Smart Card Data for Prediction of Ridership on Public Transport |
| title_sort | deterministic methodology using smart card data for prediction of ridership on public transport |
| topic | public transport prediction of ridership smart card data validation deterministic methodology |
| url | https://www.mdpi.com/2076-3417/12/8/3867 |
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