2009Journal of Transportation Engineering and InformationRequires access

Passenger Transport Demand Prediction Between Cities

Jin-yi Guo

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Abstract

Taking Hu-Ning city group as an example, the general demand, the spatial distribution and the market shares of passenger transport are studied and analyzed. This paper mainly discussed the factors that influence the passenger transport demand between these cities, that is, the confirmations of the passengers’ time and the general cost of travel, the calibration and test of the parameters of the spatial distribution model, and the prediction of each transportation mode market share. This paper also proposed that the railway passenger transport with the characters of high speed, high density and huge capacity is one of powerful competitors for the passenger transportation market between cities (especially large cities).

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What this paper is about

Taking Hu-Ning city group as an example, the general demand, the spatial distribution and the market shares of passenger transport are studied and analyzed. This paper mainly discussed the factors that influence the passenger transport demand between these cities, that is, the confirmations of the passengers’ time and the general cost of travel, the calibration and test of the parameters of the spatial distribution model, and the prediction of each transportation mode market share. This paper also proposed that the railway passenger transport with the characters of high speed, high density and huge capacity is one of powerful competitors for the passenger transportation market between cities (especially large cities).

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Available abstract

Taking Hu-Ning city group as an example, the general demand, the spatial distribution and the market shares of passenger transport are studied and analyzed. This paper mainly discussed the factors that influence the passenger transport demand between these cities, that is, the confirmations of the passengers’ time and the general cost of travel, the calibration and test of the parameters of the spatial distribution model, and the prediction of each transportation mode market share. This paper also proposed that the railway passenger transport with the characters of high speed, high density and huge capacity is one of powerful competitors for the passenger transportation market between cities (especially large cities).

Key concepts: Passenger transport, Transport engineering, Competitor analysis, Mode (computer interface), Market share, Distribution (mathematics), Mode choice, Travel time

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