2017
DOI: 10.1155/2017/7058789
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Integrated Optimization of Bus Line Fare and Operational Strategies Using Elastic Demand

Abstract: 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… Show more

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Cited by 19 publications
(13 citation statements)
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“…e fundamental di culty is how to determine the departure increment of each direct bus line when solving this problem. To (24) min…”
Section: Model Solutionmentioning
confidence: 99%
See 1 more Smart Citation
“…e fundamental di culty is how to determine the departure increment of each direct bus line when solving this problem. To (24) min…”
Section: Model Solutionmentioning
confidence: 99%
“…e methods for improving the service quality of public transport mainly include urban rail transit network construction (e.g., Gong et al [14], Yang et al [15], and Jiang et al [16]), bus lane construction (e.g., Yu et al [17], Si et al [18], Zhao and Zhou [19], and Liang et al [20]), bus line optimization (e.g., Zuo et al [21], Chen [22], Gkiotsalitis and Alesiani [23], and Tang et al [24]), transfer station optimization (e.g., Liu et al [25], Khattak et al [26], and Sancha et al [27]) and so on. ese methods can attract more residents to travel using the large capacity and high occupancy of public transport, but also increase the operating costs of the public transportation companies.…”
Section: Introductionmentioning
confidence: 99%
“…The review by Errico et al [20] summarizes the literature published before 2013 on semiflexible transit systems and offers a unifying model framework for representation and planning. Hickman and Blume [21], Fu [22], and Tang et al [23] also studied transit service system optimization. However, seldom have these studies developed a compromise between the existing fixed bus line systems and the flexible travel demands in a specific service area.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Lu et al (2015) enhanced the insights into pricing mechanism for subway and parking and corresponding mode choice behavior along the corridor with elastic demand. Tang et al (2017) offered an approach to integrated optimization of bus line fare and operational strategies in a public transit corridor with elastic demand and Tang et al (2019) optimized limited-stop bus services with a differential fare structure, which is carried out in a public transit corridor with bus service only. However, there is a paucity of the optimization of the fare structure that includes fares and transfer discounts of the services offered in a bus-subway corridor.…”
Section: Introductionmentioning
confidence: 99%