A multi-objective meta-heuristic approach for transit network design and frequency setting problem in a bus transit system

With the rapid development of the national economy, the construction of China’s urban transportation is in the stage of rapid development. Both big cities and small-medium cities increasingly appear all kinds of issues such as traffic congestion. Priority to the development of public transport is the most effective way to solve the problem of urban traffic congestion, and urban bus transit network design is the first step in the planning of the public transport system, plays a vital role in the transportation system planning. Bus transit network generally consisted of rail transit, bus rapid transit and conventional bus in big cities, while it composed of conventional bus in small-medium cities. Therefore, this paper made research on the applicability of bus transit network design methods for different sized cities, analyzed the advantages and disadvantages of different methods, and explored a more excellent method for bus transit network design.

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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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