Research of High-Speed Rail Express Delivery Market Demand Prediction Problem in China

Li Hua Shao; Yu Zhao

doi:10.4028/www.scientific.net/AMM.851.899

Paper Titles

Variation of Work Productivity Performance at Different Levels of Production Standard Time
p.879

Design of Multi-Function Fashion Chair Based on Human Factors Engineering
p.884

Multifunctional Sofa Design Based on the Human Factors Engineering
p.888

Analysis of Safety Hazard Factors and Fuzzy Comprehensive Evaluation of Mine Main Ventilator
p.893

Research of High-Speed Rail Express Delivery Market Demand Prediction Problem in China
p.899

Collaborative Information Research on Fresh Production under Supply Chain Environment
p.904

Research on the Fashion Design of Paper Stocks Tea Gift Packaging Combined with Color Design
p.910

Application of BIM in the Full Cycle Metro Project
p.914

Design and Development of Fumigation Treatment Bed Based on Simulation Technology
p.922

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 851Research of High-Speed Rail Express Delivery...

Research of High-Speed Rail Express Delivery Market Demand Prediction Problem in China

Abstract:

The rapid development of high-speed railway brought tremendous opportunity for the quick transport of goods development. Great efforts to build high-speed rail not only release the existing railway transport capacity, but also provide a new choice to the quick transport of goods. This paper choose some factors to analysis which will influence the express transport, using time series forecasting prediction and gray combination forecasting method to predict results of the 2020 Express Freight shipments. By selecting the integrity, economy, efficiency, convenience, punctuality, service and environmental friendliness those seven Utility Index, established Logit cargo flow rate balancing model, to concluded that high-speed fast freight volume in 2020, which provide references for high-speed rail fast cargo transportation organization.

You might also be interested in these eBooks

Advanced Materials, Structures and Mechanical Engineering II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 851)

Pages:

899-903

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.851.899

Citation:

Cite this paper

Online since:

August 2016

Authors:

Li Hua Shao*, Yu Zhao

Keywords:

Express Traffic, High-Speed Rails, Logit Model, Share Rate

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] A. P Jennifer, D. M. Russell, M. P. Letitia, A model to design a national high-speed rail network for freight distribution, Transport. Res. Part A, 44(3) (2009) 119-135.

Google Scholar

[2] Z. S. Tan, Analysis of the potential advantages of high-speed rail business express business, Railway Econ. Res. 1 (2015) 15-17.

Google Scholar

[3] X. L. Dai, B. T. Ma, Quick Thoughts on the development of rail freight strategy, Railway Econ. Res. 2013, 1-5.

Google Scholar

[4] R. H. Xie, Logit model in Guangshen Railway Passenger Flow Estimating the Distribution Rate of, China Railway Sci. 27(3) (2006) 111-112.

Google Scholar

[5] J. Mi, Estimation of Lanzhou-Chongqing Passenger Transportation Corridor sharing rates logit model, Gansu Sci. 26(2) (2014) 105-106.

Google Scholar

[6] X. Zheng, Improvement of Logit model and its application in forecasting the distribution ratios of passenger flow, Changsha transport Learn. J. 23(4) (2007) 51-52.

Google Scholar