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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
19.06.2013
DOI
https://doi.org/10.7307/ptt.v25i3.307
ISSUE
2013 (Vol 25), Issue 3
LICENSE
Copyright (c) 2024 Fenling Feng, Liuen Yang, Dan Lan
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This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Order-Parameter Model for Synergetic Theory-based Railway Freight System and Evolution in China

Authors:

Fenling Feng

Liuen Yang

Dan Lan

Keywords:railway freight, synergetic, order-parameter, logistics, least square, extremal function

Abstract

We investigate the synergetic nature and complexity of the railway freight system and select 13 parameters (railway fixed asset investment, GDP, railway’s revenue kilometers, etc.) as the system’s state variables. By using method of least square and method of external function, we build an order-parameter model for synergetic theory-based railway freight system, which will potentially support the studies on the railway freight system’s evolution. Our result shows that railway fixed asset investment is the order-parameter that governs the evolution of railway freight system: the average random fluctuation parameter  is 0.7060, which means that the mean fluctuation period of railway freight system is 9 years. Evolution of the railway freight system is a gradual process with abrupt changes from time to time.

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How to Cite
Feng, F. (et al.) 2013. Order-Parameter Model for Synergetic Theory-based Railway Freight System and Evolution in China. Traffic&Transportation Journal. 25, 3 (Jun. 2013), 195-207. DOI: https://doi.org/10.7307/ptt.v25i3.307.

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