Forecasting and simulation model for Transit-Oriented Transport Organization at high-speed rail and urban rail stations in Ho Chi Minh City

This study develops and applies a forecasting–simulation model for transport organization based on the Transit-Oriented Development (TOD) approach in the vicinity of railway stations. Grounded in an assessment of the current state of transport organization, the research integrates a macro-level travel demand forecasting model with a micro-level simulation to evaluate the effectiveness of TOD-based transport planning scenarios at urban rail and high-speed rail stations, with Thao Dien Station selected as a representative case study. The study formulates three simulation scenarios: (i) the 2025 baseline (current conditions), (ii) the year 2030 without TOD implementation, and (iii) the year 2030 with TOD-based transport planning. The application of TOD demonstrates improvements in the overall transport system by redistributing traffic flows, increasing public transit usage, and reducing trips made by private vehicles.

Authors

Publication Details

Journal
Journal of Transportation Science and Technology
Published
2025-09-15
DOI
https://doi.org/10.55228/jtst140506
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Forecasting and simulation model for Transit-Oriented Transport Organization at high-speed rail and urban rail stations in Ho Chi Minh City

Quang Phu Tran, Hang T.T. Nguyen, Quoc An Bui
Journal of Transportation Science and Technology
Transportation Planning and Optimization
article

Forecasting and simulation model for Transit-Oriented Transport Organization at high-speed rail and urban rail stations in Ho Chi Minh City

Quang Phu Tran, Hang T.T. Nguyen, Quoc An Bui
article en

Abstract

This study develops and applies a forecasting–simulation model for transport organization based on the Transit-Oriented Development (TOD) approach in the vicinity of railway stations. Grounded in an assessment of the current state of transport organization, the research integrates a macro-level travel demand forecasting model with a micro-level simulation to evaluate the effectiveness of TOD-based transport planning scenarios at urban rail and high-speed rail stations, with Thao Dien Station selected as a representative case study. The study formulates three simulation scenarios: (i) the 2025 baseline (current conditions), (ii) the year 2030 without TOD implementation, and (iii) the year 2030 with TOD-based transport planning. The application of TOD demonstrates improvements in the overall transport system by redistributing traffic flows, increasing public transit usage, and reducing trips made by private vehicles.

Journal of Transportation Science and TechnologyVol. 14(5)
Openalex Percentile: Top 74%
Transportation Planning and Optimization
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