Passengers Flow Forecasting Model of Urban Rail Transit Based on the Macro-Factors

Bin Shang; Xiao Ning Zhang

doi:10.4028/www.scientific.net/AEF.6-7.688

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7Passengers Flow Forecasting Model of Urban Rail...

Passengers Flow Forecasting Model of Urban Rail Transit Based on the Macro-Factors

Abstract:

In China, many cities are planning urban rail transit system, but a comprehensive passenger flow estimation model is still lacking. The total passenger flow of urban rail transit in a city depends on many factors, such as urban population, total length of rail lines, gross domestic production of the city etc. To estimate the total passenger flow of urban rail transit, a linear regression model with multiple variables is established in the paper, based on the real data collected in many cities with urban rail transit operating. The comparison of the estimated flow and the real flow in many cities shows that the model is very accurate in passenger flow forecasting.

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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

688-693

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.688

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Online since:

September 2012

Authors:

Bin Shang, Xiao Ning Zhang

Keywords:

Gross Domestic Product, Local Finance, Passengers Flow Forecasting, Urban Population, Urban Rail Transit

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Creative Commons CC BY 4.0

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