Study on Adaptability of Urban Agglomeration Freight transport Supply and Demand Structure Based on Entropy Theory
- DOI
- 10.2991/ifeesm-17.2018.328How to use a DOI?
- Keywords
- urban agglomeration; freight transportation; co-ordination of supply and demand; information entropy theory; adaptability evaluation model
- Abstract
To study the adaptability of freight transport supply and demand structure of urban agglomerations, the mechanism of demand and supply of freight transport in urban agglomeration was studied and the theory of freight transport structure of urban agglomeration was put forward and demonstrated. First, the main factors that affect the freight transport demand structure and supply structure of urban agglomeration was analyzed through information entropy theory. Second, the urban agglomeration freight transport demand structure and supply structure models was established based on information entropy. Then, through Comparing the freight transport demand structure entropy and supply structure entropy, adaptability evaluating model of freight transport supply and demand structure of urban agglomeration was proposed. Finally, taking H-B-E city agglomeration as an example of our empirical study, the method of adaptive evaluation and optimization model was used to analyze the freight transport supply and demand structure of the city agglomerations.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhen-Yu Liu AU - Wei Gao AU - Yue-Yuan Gao AU - Jing-Jing Wang PY - 2018/02 DA - 2018/02 TI - Study on Adaptability of Urban Agglomeration Freight transport Supply and Demand Structure Based on Entropy Theory BT - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017) PB - Atlantis Press SP - 1814 EP - 1822 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesm-17.2018.328 DO - 10.2991/ifeesm-17.2018.328 ID - Liu2018/02 ER -