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April 15, 2026Modelling—International Open Access Journal of Modelling in Engineering ScienceOpen Access

Evaluating Public Transportation Criteria and Congestion Using Multi-Criteria Assessment and Simulation Modeling

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Authors

KRKasin RansikarbumNPN H PaoprasertPAPornthep Anussornnitisarn

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Overview

Evaluates congestion impacts on public transport choice, suggesting improvements for urban transport systems.

Key Points

  • The aim is to evaluate factors affecting public transport choice and propose congestion improvement strategies.
  • Implemented a two-stage approach combining multi-criteria assessment and traffic simulation.
  • Used the Best-Worst Method (BWM) to analyze data from five primary and twenty-one secondary factors.
  • Established a baseline simulation model at Kaset Intersection in Bangkok.
  • Conducted micro-simulation to assess traffic density impacts.
  • Convenience is prioritized by working professionals, while travel cost is crucial for students.
  • Simulation shows that reducing traffic density can shorten overall travel time by approximately 2.04 seconds.
  • Results suggest policies to improve public transport and reduce congestion in urban areas.

Cite This Study

Ransikarbum et al. (2026) studied this question.

synapsesocial.com/papers/69df2b85e4eeef8a2a6b0704https://doi.org/10.3390/modelling7020073
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