User and Operator Perspectives in Transit Network Design

The basic construction of the objective functions of the transit network design problem is described, and a new approach taking account of both passenger and operator interests is proposed. The approach presented combines the philosophy of the mathematical programming approaches with decision-making techniques in order to allow the user to select from a number of alternatives. The nature of the overall formulation is nonlinear and mixed-integer programming.

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Transit Network Design: The Necessity of Elastic Demand Consideration

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.97-98.1117 ◽

2011 ◽

Vol 97-98 ◽

pp. 1117-1122 ◽

Cited By ~ 3

Author(s):

Andisheh Ranjbari ◽

Afshin Shariat Mohaymany ◽

S. M. Mahdi Amiripour

Keyword(s):

Network Design ◽

Public Transportation ◽

Supply And Demand ◽

Network Design Problem ◽

Elastic Demand ◽

Transit System ◽

Transit Network ◽

Optimal Network ◽

Transit Network Design ◽

In Transit

Transit network design as the first and critical phase of public transportation planning is extremely sensitive to transit demand. An important characteristic of transit demand is elasticity or service-dependency, which means that any change in the service offered by the system is followed by a change in transit demand. Due to the complexity of transit network design problem (TNDP) researchers have usually assumed transit demand to be fixed rather than elastic; while ignoring this issue may result in inefficiency of system, dissatisfaction of users, and system failure, since the predicted amount of passengers would not use the transit system. This paper aims to demonstrate the necessity of elastic demand consideration in transit network design, and proposes a solution framework, which is composed of a preparation stage and an iterative procedure. A case study example is presented subsequently, to show the use of this solution method and further illustrates the necessity of considering this issue. Three cases of truly predicted demand (considering elastic demand), overestimated and underestimated demands (in the absence of elastic demand consideration) are defined, and the performance measures of these cases are compared to those in the base mode. The results show that elastic demand consideration leads to the optimal network, in which the system efficiently matches between supply and demand.

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Using accessibility measures in transit network design

Transport ◽

10.3846/16484142.2017.1295401 ◽

2017 ◽

Vol 33 (2) ◽

pp. 510-519 ◽

Cited By ~ 2

Author(s):

Gorkem Gulhan ◽

Huseyin Ceylan ◽

Halim Ceylan

Keyword(s):

Decision Making ◽

Network Design ◽

Evaluation Criteria ◽

Decision Making Process ◽

Transit Planning ◽

Actual Performance ◽

Decision Accuracy ◽

Transit Network ◽

Transit Network Design ◽

In Transit

Transit planning scenarios may lead to the different Objective Function (OF) values since each scenario has different transit travel times, frequencies and fleet sizes. Change on those variables leads to the different accessibility values for each route set. Therefore, the actual performance of a route set may be unforeseen since the accessibility values are out of evaluation criteria. This study tries to generate techniques, which handle the relation between accessibility and transportation in the scope of public transit. The accessibility measures, which have direct relation with land use and transportation, are utilized in transit route set decision. Accessibility measures have been utilized in the decision-making process of transit network design. Conventional OFs, which are used to determine the most effective route sets are combined with accessibility based OFs and the decision-making process of transit network design is strengthened. In this context, the effects of accessibility measures in decision-making process of transit network design have been represented on an 8-node example transit network. The results showed the accessibility measures could effectively improve the planners’ decision accuracy.

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