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Content Provider | IET Digital Library |
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Author | Seo, Jeongwook Cho, Shin Hyung Kim, Dong Kyu Park, Peter Young Jin |
Abstract | Public transit has a significant impact on minimising traffic congestion and reducing the cost of travelling in urban areas. It is necessary to evaluate the efficiency of the public transit operation in response to the individual traveller's demands for transit. This study aims to analyse the demand for transit with overlapping origin–destination (OD) pairs to enhance the efficiency of transit operations. To achieve this, disaggregated-level travel demand data, i.e. individual traveller's data are collected from an automatic fare collection system called smart card. The Kneedle algorithm is used to calculate the knee point of travel demand. The overlapping OD pairs, which are higher than the knee point value, are calculated and displayed in a map format. On the basis of the overlapping OD pairs, the demand-based overlap index for each bus route is defined to evaluate the efficiency of bus operations. The proposed method is applied to six districts with higher transit demands than other districts in Seoul. On the basis of the results, discussion on the action plans to enhance the efficiency of bus operations are presented. The method proposed in this study contributes to improving the efficiency of the bus system by reflecting individual users’ travel demands. |
Starting Page | 545 |
Ending Page | 553 |
Page Count | 9 |
ISSN | 1751956X |
Volume Number | 14 |
e-ISSN | 17519578 |
Issue Number | Issue 6, Jun (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-its/14/6 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0158 |
Journal | IET Intelligent Transport Systems |
Publisher Date | 2020-02-06 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Automatic Fare Collection System Bus Operations Bus Route Bus Stations Bus System Combinatorial Mathematics Demand-based Overlap Index Disaggregated-level Travel Demand Data Higher Transit Demands Individual Traveller Individual User Knee Point Value Minimisation OD Pairs Optimisation Technique Overlapping Origin–destination Pairs Public Transit Operation Road Traffic Smart Cards System Theory Application in Transportation Traffic Congestion Traffic Engineering Computing Transit Operation Transportation Urban Areas |
Content Type | Text |
Resource Type | Article |
Subject | Law Transportation Environmental Science Mechanical Engineering |
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