Research on General Model of Railway Route Selection in CSM Areas Using the Sichuan–Tibet Railway and Other Typical Mountain Railways as Case Studies
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 149, Issue 7
Abstract
In recent years, China’s rail network has been expanding to western China. Most of western China is a complicated and steep mountainous area with complex terrain and a harsh natural environment. Many engineering geological problems and unfavorable geological hazards have been encountered in railway construction in this area. Railway route selection in complex and steep mountainous (CSM) areas has become one of the fundamental issues in railway design. In view of the existing literature, this paper is aimed to summarize the characteristics and difficulties of railway route selection in CSM areas. In view of the low efficiency of railway route selection in CSM areas, a set of general models for railway route selection in CSM areas is established in the present study. A new multifactor interactive matrix dynamic weight approach is proposed in this model, and the corresponding evaluation index system is then developed. This methodology has been successfully applied in two typical CSM railway route selection cases, which proves the validity and applicability of this novel approach. This scrutiny provides a newly solid reference for the route selection method of the railway in CSM areas and gives a new direction for the evaluation and decision-making of other complex system engineering problems.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
Much of the work presented in this paper was supported by the National Natural Science Foundations of China (Grant Nos. 51379112, 51422904, and 40902084), and Shandong Provincial Natural Science Foundation (Grant No. JQ201513). The authors would like to express appreciation to the reviewers for their valuable comments and suggestions that helped improve the quality of our paper. The authors would like to express their gratitude to EditSprings for the expert linguistic services provided.
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Journal of Transportation Engineering, Part A: Systems
Volume 149 • Issue 7 • July 2023
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© 2023 American Society of Civil Engineers.
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Received: Oct 4, 2022
Accepted: Dec 28, 2022
Published online: May 8, 2023
Published in print: Jul 1, 2023
Discussion open until: Oct 8, 2023
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