2016 Fiscal Year Annual Research Report
Complex Transit Fare Structures: Modelling and Potential Impacts
| Project/Area Number |
26289174
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| Research Institution | Kyoto University |
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Principal Investigator |
Schmoecker J.D. 京都大学, 工学(系)研究科(研究院), 准教授 (70467017)
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| Co-Investigator(Kenkyū-buntansha) |
倉内 文孝 岐阜大学, 工学部, 教授 (10263104)
福田 大輔 東京工業大学, その他部局等, 准教授 (70334539)
柳沼 秀樹 東京理科大学, 理工学部, 講師 (70709485)
嶋本 寛 宮崎大学, 工学部, 准教授 (90464304)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | public transport / fare structure / shortest path / non-additive link costs / electronic tickets / IC cards |
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| Outline of Annual Research Achievements |
The research achievements can be split into two main contributions.
1. Development of an algorithm that searches for the shortest hyperpath considering non-additive link costs. This is important for frequency-based transit assignment with distance-based fare structures where customers pay according to the length of route they choose. It is common that fares are degressive in that the marginal costs per distance is decreasing for longer trips. Dealing with this efficiently has until now been an unsolved problem. The developed approach has been tested and appears to be robust and fairly fast. Currently discussions on implementation into mainstream software are ongoing.
2. Interviews and surveys with a range of metropolitan cities which are considering fare structure changes. The research documented contrary trends for some cities aiming for more complex fare structures using e-tickets whereas other cities aim for simple fare structures. This has led to a report published by "European Metropolitan Transit Authorities".
Besides these main research outcomes the project discussed fare structure ideas such as price-capping and looked into effects of peak prices. Furthermore, the feasability of using data collected from electronic data for travel behavior analysis has been explored in detail. These has supported the publication of a book titled "Public Transport Planning with Smart Card Data".
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| Research Progress Status |
28年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
28年度が最終年度であるため、記入しない。
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| Causes of Carryover |
28年度が最終年度であるため、記入しない。
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| Expenditure Plan for Carryover Budget |
28年度が最終年度であるため、記入しない。
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| Remarks |
This is the link to the report that has been published by EMTA and is one of the research outcomes
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[Journal Article] Innovation adoption modeling in transportation: new models and data.2017
Author(s)
Stathopoulos, A., Cirillo, C., Cherchi, E., Ben-Elia, E., Li, Y.-T. and Schmoecker, J.-D.
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Journal Title
Journal of Choice Modelling
Volume: n/a
Pages: n/a
DOI
Int'l Joint Research
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