PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 22, 2026PLoS ONE2 citationsOpen Access

Research on the optimal selection method for railway line routes in complex and challenging mountainous areas taking into account ecological protection

View Full Paper
FHFeng HanYLYunxiang Luo

Key Points

  • This research aims to optimize railway route selection in mountainous areas while prioritizing ecological preservation.
  • Developed a comprehensive evaluation system with 20 indicators across multiple dimensions.
  • Implemented weighting systems using expert knowledge and data patterns with G2 and CRITIC methods.
  • Established a decision-making model incorporating trapezoidal fuzzy numbers and multi-attribute utility theory.
  • Applied the model to evaluate various scheme projections, focusing on environmental impact and engineering feasibility.
  • Scheme II, featuring full-tunnel passage through sensitive ecological zones, was identified as the optimal solution.
  • Achieved a relative closeness score of 0.5202, indicating high efficiency and low environmental disruption.
  • Demonstrated cost efficiency, improved safety, and alignment with carbon neutrality goals, supporting sustainable transportation efforts.

Abstract

This study addresses the coordinated optimization of ecological conservation and engineering efficiency in railway route planning through challenging mountainous terrain, proposing a selection methodology that prioritizes environmental protection. A comprehensive evaluation system with 20 indicators was developed across technique, economy, environment, and social dimensions. Key considerations include impacts on ecologically sensitive zones, engineering risks, and low-carbon development objectives. The weighting system integrates expert knowledge (G2 method) and data patterns (CRITIC method), optimized through relative entropy to balance subjective and objective information, enhancing weighting reliability. A decision-making model was established using trapezoidal fuzzy numbers for qualitative indicators and multi-attribute utility theory. Projection values and comprehensive relative closeness calculations enable quantitative scheme evaluation. Applied to a high-speed railway crossing protected areas, the model validated Scheme II (full-tunnel passage through sensitive zones) as optimal (0.5202 relative closeness), demonstrating cost efficiency, minimal environmental impact, and enhanced safety – consistent with practical engineering outcomes. The methodology provides a scientifically grounded decision-making framework balancing ecological preservation and engineering viability, supporting green transportation transformation under carbon neutrality goals. Combination weighting.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/699a9dcd482488d673cd3fbchttps://doi.org/10.1371/journal.pone.0341632
Ask AI
Helpful
Bookmark
Share
View Full Paper