Passenger Transport Demand Prediction Between Cities
Jin-yi Guo
Abstract
Jin-yi Guo
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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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