Influence of Carbon Pricing on Regional Aircraft and Route Network Design

2021 ◽  
Author(s):  
Stewart J. Reid ◽  
Ruben E. Perez ◽  
Peter W. Jansen ◽  
Cees Bil
Keyword(s):  
Network Design ◽  
Carbon Pricing ◽  
Route Network

scholarly journals A Transit Route Network Design Problem Considering Equity

2019 ◽  
Vol 11 (13) ◽  
pp. 3527 ◽  
Author(s):  
Myeonghyeon Kim ◽  
Seung-Young Kho ◽  
Dong-Kyu Kim
Keyword(s):  
Network Design ◽  
Public Transportation ◽  
Design Problem ◽  
Network Design Problem ◽  
Modal Split ◽  
Route Network ◽  
Line Selection ◽  
Transit Route ◽  
Selection Of

As concerns about environmental quality, social equity, and economic efficiency are increasing, efforts on improving the sustainability of public transportation are being made all over the world. This study aims to propose a transit route network design problem that considers modal and spatial equities. The equities are accommodated by using two indexes that can simultaneously reflect mobility and accessibility. A decision-making process for designing a transit route network consists of the selection of the target line, selection of the target node, the determination of an alternative line, and the implementation of a procedure for setting frequency. The model is configured through bi-level modeling based on an iterative process to calculate the modal split and the traffic and transit assignments with changes in the transit route network. While the frequency of each line is determined by a genetic algorithm in the upper model, the modal split and traffic and transit assignments are implemented in the lower model. This transit route network design model and the associated algorithms are applied to a sample network. As a result, an improved solution with equity and the lower total cost is identified based on a comparison with the existing transit route network.

scholarly journals Some Computational Insights on the Optimal Bus Transit Route Network Design Problem

2012 ◽  
Vol 47 (3) ◽  
Author(s):  
Wei (David) Fan ◽  
Randy B. Machemehl
Keyword(s):  
Network Design ◽  
Design Problem ◽  
Large Scale ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Research Experiences ◽  
Bus Transit ◽  
Route Network ◽  
Transit Route ◽  
Demand Aggregation

The objective of this paper is to present some computational insights based on previous extensive research experiences on the optimal bus transit route network design problem (BTRNDP) with zonal demand aggregation and variable transit demand. A multi-objective, nonlinear mixed integer model is developed. A general meta-heuristics-based solution methodology is proposed. Genetic algorithms (GA), simulated annealing (SA), and a combination of the GA and SA are implemented and compared to solve the BTRNDP. Computational results show that zonal demand aggregation is necessary and combining metaheuristic algorithms to solve the large scale BTRNDP is very promising.

scholarly journals Transit Route Network Design for Low-Mobility Individuals Using a Hybrid Metaheuristic Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Tao Zhang ◽  
Gang Ren ◽  
Yang Yang
Keyword(s):  
Genetic Algorithms ◽  
Network Design ◽  
Weighted Sum ◽  
Hybrid Metaheuristic ◽  
Route Network ◽  
Proposed Model ◽  
Transit Route ◽  
Solution Methodology ◽  
Unsatisfied Demand

This paper follows the previous effort of authors and builds the model of transit route network design for low-mobility individuals, proposing an appropriate solution methodology. Firstly, a desired objective, whose priority is to meet transit demands of low-mobility individuals followed by those of general public, is presented to minimize the weighted sum of direct traveler, transfer, and unsatisfied demand costs. Then, a hybrid metaheuristic approach based on ant colony and genetic algorithms is formulated to solve the proposed model in accordance with current conditions (i.e., existing routes that may need to undergo configuration adjustments to different degrees). Finally, the case study of Wenling is presented to highlight the performance and benefits of the proposed model and solution methodology.

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