@inproceedings{a697f201208348f09b0c8958de5c4c18,
title = "Analysis of influencing factors of integrated freight transport volume based on gray markov model",
abstract = "To get the quantitative analysis of the influencing factors of the freight traffic volume, the Gray correlation method is used to analyze and filter 3 factors, which have significant influence between the volume of total freight and volume of freight transport (5 kinds of transportation modes) with 14 influencing factors. And the forecasting accuracy of the Gray Markov forecasting model is used to screen the main influence factor on the volume of freight transport, which is based on the Gray relational analysis results. The calculation results show that the impact on volume of freight transport is mainly due to the economic factors, followed by the size of the transport, transport destination, and transportation modes between the internal competition and other types of factors.",
keywords = "Gray Markov model, Gray relational analysis, Influencing factors, Integrated freight transport",
author = "Zhang, \{Ya Ping\} and Gao, \{Yue E.\} and Xie, \{Yan Wen\} and Qi, \{Shou Ming\}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 8th International Conference on Green Intelligent Transportation Systems and Safety, 2017 ; Conference date: 01-07-2017 Through 02-07-2017",
year = "2019",
doi = "10.1007/978-981-13-0302-9\_66",
language = "英语",
isbn = "9789811303012",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "671--679",
editor = "Wuhong Wang and Xiaobei Jiang and Klaus Bengler",
booktitle = "Green Intelligent Transportation Systems - Proceedings of the 8th International Conference on Green Intelligent Transportation Systems and Safety",
address = "德国",
}