Chengshi guidao jiaotong yanjiu (Jan 2024)

Metro Station Platform Width Design Method and Influencing Factors Analysis Based on Simulation Tests

  • Xiaochun DONG,
  • Yu SHEN,
  • Tianshuang GENG,
  • Taoyuan YANG,
  • Xuanchuan ZHENG

DOI
https://doi.org/10.16037/j.1007-869x.2024.01.025
Journal volume & issue
Vol. 27, no. 1
pp. 138 – 143

Abstract

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[Objective] The current design calculation methods for platform width suffer from issues such as low passenger flow prediction accuracy, broad range of passenger flow density parameter values, unclear selection criteria, and a lack of quantifiable basis for design margins. Improvement is needed targeting the situation, parameter values for platform width design is calibrated based on stimulation tests. [Method] Based on the standards outlined in the Code for Design of Metro, a grading standard for platform service levels is established, and a single-side platform width design method based on platform service level is proposed. Through simulation tests, key parameters are calibrated, and a conversion coefficient between theoretical and actual values of passenger flow density is obtained by fitting the relationship curve of passenger volume and single-side platform peak density using least squares method. Considering the factors influencing platform width, passenger flow conversion calculations are performed for passenger dwell proportion and passengers carrying large items proportion through simulation test, providing platform width calculation methods under corresponding conditions. For computing scenarios that consider the influence of multiple factors, an orthogonal test is designed to adjust parameters and obtain the final calculation method for single-side platform width. [Result & Conclusion] The single-side platform actual peak density is approximately 0.9 times the theoretical value. The impact of passenger dwell and passengers carrying large items on single-side platform peak density is approximately equivalent to 1.19 and 1.75 times the impact of regular boarding and alighting passengers. When both the above factors simultaneously act on the single-side platform, the resulting impact exceeds the cumulated effects of single factor.

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