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A GIS-Based Modeling Approach for Determining the Efficiency of the Traffic System between Ancient Military Castles.

Authors :
Tan, Lifeng
Liu, Huanjie
Zhou, Jiayin
Zhang, Yukun
Liu, Jiayi
Shen, Shenge
Li, Tong
Wang, Chaonan
Lin, Wanjing
Source :
Discrete Dynamics in Nature & Society; 10/1/2021, p1-13, 13p
Publication Year :
2021

Abstract

Ancient Chinese military castles were equipped with rapid transportation routes for mutual aid, and this was an essential indicator of regional defense capability. However, since the sites of these transportation routes have mostly disappeared, it is not easy to examine the actual distribution of these routes. It is necessary to speculate the trend and position of military routes on the basis of the castle locations. In this study, the geographic features of each castle location were extracted as factors affecting the efficiency of the intercastle transportation system using the ArcGIS cost path function. By analyzing the fit of each factor for screening and weight assignment, a time cost path was established, and a model was generated for calculating the efficiency of this transportation system. The Weihai area, a typical representation of sea defense during the Chinese Ming Dynasty, was taken as an example for simulation. Overall, five ancient military transportation routes were restored. The establishment of the Ming Dynasty Wendengying transformed the linear defense layout of the Weihai region into a longitudinal network layout, and its site selection was of great benefit to the overall defense of the coastal citadel of Weihai. This model breaks the traditional limitations of relying on subjective speculation for ancient road restoration and dramatically improves its accuracy and credibility. Moreover, it makes a significant contribution to judging the road systems of ancient cities in different regions and provides a new idea to quantify the efficiency of ancient castle defenses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10260226
Database :
Complementary Index
Journal :
Discrete Dynamics in Nature & Society
Publication Type :
Academic Journal
Accession number :
152767804
Full Text :
https://doi.org/10.1155/2021/6329935