Design scheme of multiple-subway lines for minimizing passengers transfers in mega-cities transit networks

Owais, Mahmoud; Ahmed, Abdou S.; Moussa, Ghada S.; Khalil, Ahmed A.

doi:10.1080/23248378.2020.1846632

Cited by 17 publications

(13 citation statements)

References 71 publications

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“…Therefore, there is objectively a very complex coercive relationship between alignment design and the resource environment. Thus, drawing on specialized research related to railway alignment design methods [15][16][17] and studying the interaction mechanisms and collaborative development optimization path between alignment design and the resource environment is a technical restriction as well as the key for the development of green and sustainable railways in the southwestern mountainous areas.…”

Section: Literature Reviewmentioning

confidence: 99%

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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Faced with the characteristics of multifactor coupling and interweaving along the railway lines in the southwestern mountainous areas of China, researching the coupling mechanism and optimizing the collaborative development path between alignment designs and the resource environment is conducive to promoting the green and sustainable development of railways in these southwestern mountainous areas. In this study, first, regarding the environmental characteristics of engineering along the railway lines in the southwestern mountainous area, the key elements of the interaction and coercion between the alignment design (internal system) and the resource environment (external system) are identified, and the interactive impact mechanism of the “alignment design–resource environment” complex is revealed. Accordingly, a nonlinear coupling mechanism between the alignment design system and the resource environment system is established using the deviation coefficient coupling degree model. Second, from a methodological perspective, following a technical path of “analyzing the coercive effects of internal and external factors–identifying coupling relationships–discovering coupling laws–screening driving factors–proposing optimization plans–achieving collaborative development goals”, we propose an overall optimization plan to solve the problem. Finally, the Chengdu Changdu section of the X railway, which is located in a southwestern mountainous area, is taken as an example for this study. The results indicate that if the state of the external system of the KL scheme is continuously improved through the regulation of the u22 (crossing the ecological protection red line length), u23 (biodiversity impact), and u24 (ecosystem impact) indicators and that the internal structure of the line design is improved by optimizing the l12 (total length of bridges and tunnels) and l13 (number of stations) indicators, effectively driving the improvement in the u31 (land resource occupation) and u43 (land development intensity) indicators, the alignment design and resource environment will exhibit a mutually reinforcing coupling evolution trend and ultimately achieve an “alignment design–resource environment” composite system with higher quality coupling.

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Section: Literature Reviewmentioning

confidence: 99%

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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“…There are many methods to evaluate transport efficiency, including multi-index comprehensive evaluation methods represented by the entropy weight method (EWM), the fuzzy comprehensive evaluation (FCE) method, technology for order preference by similarity to an ideal solution (TOPSIS), nonlinear statistical methods represented by a neural network, parametric methods represented by SFA, and mathematical programming methods represented by data envelopment analysis (DEA) and its derivatives, etc. Owais et al [16] took the variance of PTN and the direct trip percentage as factors to evaluate the transfer efficiency in Cairo. Mallikarjun et al [17] evaluated the operation performance of American rail transit and explored the reason for its inefficiency by using the non-oriented network DEA.…”

Section: Literature Review and Innovation Of This Papermentioning

confidence: 99%

Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network

et al. 2023

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It has been proven that developing urban rail transit (URT) is the key to solving the traffic problems in big cities, and transport efficiency is essential for scientific line planning and construction, operation management and sustainable development of urban rail transit. This paper focuses on the transport efficiency of the URT network and adopts shadow efficiency theory creatively to combine factors of passengers, capacity, and efficiency effectively. A quantitative calculation method of system utility based on “double time penalty” is proposed. According to the characteristics of Beijing URT, this paper puts forward a single optimization strategy and combinatorial optimization strategy and analyzes the results with DEA. The simulation of Beijing subway network proves the availability of the method and its optimization effects.

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“…Some studies focused on the route network configuration without considering the assignment problem. The criteria of evaluation could be route directness (i.e., route length compared with the shortest path) [56], the number of transfers [57][58][59][60], and the network demand coverage [61]. Also, the construction cost values could be considered where the system is designated to be underground [58,62].…”

Section: State Of the Artmentioning

confidence: 99%

Frequency Based Transit Assignment Models: Graph Formulation Study

Owais

Ahmed

2022

IEEE Access

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Transit network design problem (TNDP) usually needs a recursive solution to successive transit assignment problems. Interestingly, the transit assignment problem is complicated with several unique criteria. In this study, we comprehensively review two well-known graphical transit assignment models from the literature. The first model is based on the hypergraph theory by Spiess and Florian (1989), and the second is the section transit network representation of De Cea and Fernandez (1993). The two assignment approaches are formulated in a single mathematical notation framework for the first time in the literature to understand the inherent differences better. We aim to bring attention again to these approaches for the upcoming TNDP studies since the most used transit assignment models in the TNDP are deficient in their basic assumptions compared with the considered models.

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Design scheme of multiple-subway lines for minimizing passengers transfers in mega-cities transit networks

Cited by 17 publications

References 71 publications

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Simulation-Based Optimization of Transport Efficiency of an Urban Rail Transit Network

Frequency Based Transit Assignment Models: Graph Formulation Study

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