Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand
An optimization approach for designing a transit service system is proposed. Its objective would be the maximization of total social welfare, by providing a profitable fare structure and tailoring operational strategies to passenger demand. These operational strategies include full route operation (...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/7058789 |
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| author | Chunyan Tang Avishai (Avi) Ceder Ying-En Ge |
| author_facet | Chunyan Tang Avishai (Avi) Ceder Ying-En Ge |
| author_sort | Chunyan Tang |
| collection | DOAJ |
| description | An optimization approach for designing a transit service system is proposed. Its objective would be the maximization of total social welfare, by providing a profitable fare structure and tailoring operational strategies to passenger demand. These operational strategies include full route operation (FRO), limited stop, short turn, and a mix of the latter two strategies. The demand function is formulated to reflect the attributes of these strategies, in-vehicle crowding, and fare effects on demand variation. The fare is either a flat fare or a differential fare structure; the latter is based on trip distance and achieved service levels. This proposed methodology is applied to a case study of Dalian, China. The optimal results indicate that an optimal combination of operational strategies integrated with a differential fare structure results in the highest potential for increasing total social welfare, if the value of parameter ε related to additional service fee is low. When this value increases up to more than a threshold, strategies with a flat fare show greater benefits. If this value increases beyond yet another threshold, the use of skipped stop strategies is not recommended. |
| format | Article |
| id | doaj-art-92d354ea66f74039972c0a4224e88e86 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-92d354ea66f74039972c0a4224e88e862025-02-03T01:06:35ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/70587897058789Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic DemandChunyan Tang0Avishai (Avi) Ceder1Ying-En Ge2School of Transportation & Logistics, Dalian University of Technology, 2 Linggong Road, Ganjingzi District, Dalian, Liaoning 116024, ChinaTransportation Research Centre, Department of Civil and Environmental Engineering, 20 Symonds Street, University of Auckland, Auckland, New ZealandCollege of Transport & Communications, Shanghai Maritime University, 1550 Haigang Avenue, Pudong, Shanghai 201306, ChinaAn optimization approach for designing a transit service system is proposed. Its objective would be the maximization of total social welfare, by providing a profitable fare structure and tailoring operational strategies to passenger demand. These operational strategies include full route operation (FRO), limited stop, short turn, and a mix of the latter two strategies. The demand function is formulated to reflect the attributes of these strategies, in-vehicle crowding, and fare effects on demand variation. The fare is either a flat fare or a differential fare structure; the latter is based on trip distance and achieved service levels. This proposed methodology is applied to a case study of Dalian, China. The optimal results indicate that an optimal combination of operational strategies integrated with a differential fare structure results in the highest potential for increasing total social welfare, if the value of parameter ε related to additional service fee is low. When this value increases up to more than a threshold, strategies with a flat fare show greater benefits. If this value increases beyond yet another threshold, the use of skipped stop strategies is not recommended.http://dx.doi.org/10.1155/2017/7058789 |
| spellingShingle | Chunyan Tang Avishai (Avi) Ceder Ying-En Ge Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand Journal of Advanced Transportation |
| title | Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand |
| title_full | Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand |
| title_fullStr | Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand |
| title_full_unstemmed | Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand |
| title_short | Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand |
| title_sort | integrated optimization of bus line fare and operational strategies using elastic demand |
| url | http://dx.doi.org/10.1155/2017/7058789 |
| work_keys_str_mv | AT chunyantang integratedoptimizationofbuslinefareandoperationalstrategiesusingelasticdemand AT avishaiaviceder integratedoptimizationofbuslinefareandoperationalstrategiesusingelasticdemand AT yingenge integratedoptimizationofbuslinefareandoperationalstrategiesusingelasticdemand |