Railway Passenger Flow Volume Prediction Model Analysis Based on Cobb-Douglas Function

Xue Dong Du; Na Ren

doi:10.4028/www.scientific.net/AMM.178-181.1961

Paper Titles

Hub-and-Spoke Airline Network Design Method and Application Based on Gravity Model
p.1941

Dynamic Analysis of Trebling-Pivot Vehicle on Undulate Pavement
p.1947

A Case Study on Hangzhou’s Public Bicycle System in Relieving Pressure on Road Transport
p.1951

Prediction for Percentage of Vehicle Entering Expressway Rest Area Based on BP Neural Network
p.1956

Railway Passenger Flow Volume Prediction Model Analysis Based on Cobb-Douglas Function
p.1961

Inventory-Transportation Integrated Optimization Problem in Many-to-Many Distribution Network
p.1965

A Modal for Operation Coordination among Regional Rail Transit, Urban Metro and Bus
p.1970

Monitoring of Long-Span Self-Anchored Arch Bridge Constructed with Rotation Method
p.1977

Research on Parametric Modeling and Computing of Multi-Tower Suspension Bridge Based on ANSYS
p.1983

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 178-181Railway Passenger Flow Volume Prediction Model...

Railway Passenger Flow Volume Prediction Model Analysis Based on Cobb-Douglas Function

Abstract:

A prediction model of train passenger flow volume is proposed in this article to help the railway administration's analysis of running strategies. The model is analysed based on industrial economic indexes and Cobb-Douglas theory to make the prediction. The model is illustrated by applying it to a numeral example, and the analysis of the error rate is made for further research.