Issue 3
Jun.  2017
Turn off MathJax
Article Contents
A Study on Waterway Freight Impedance and Distribution Models on Yangtze River Based on Data of Ship AIS and Visa[J]. Journal of Transport Information and Safety, 2017, 35(3): 98-106. doi: 10.3963/j.issn.1674-4861.2017.03.013
Citation: A Study on Waterway Freight Impedance and Distribution Models on Yangtze River Based on Data of Ship AIS and Visa[J]. Journal of Transport Information and Safety, 2017, 35(3): 98-106. doi: 10.3963/j.issn.1674-4861.2017.03.013

A Study on Waterway Freight Impedance and Distribution Models on Yangtze River Based on Data of Ship AIS and Visa

doi: 10.3963/j.issn.1674-4861.2017.03.013
  • Publish Date: 2017-06-28
  • This study aims to figure out dynamic and complex impacts of various sections of Yangtze River on waterway freight transportation.Based on AIS and residence time of ships at the Three-Gorges Dam, a freight impedance model considering ship course, waterway segment and time is developed.Meanwhile, a time impedance matrix among important ports of the Yangtze River in different months is obtained using Matlab.Taking data of ship visa in October 2010 as a case study, the parameters of two types of gravity distribution models based on distance impedance matrix and time impedance matrix are calibrate respectively.Then corresponding models of distribution of freight transportation are established.With these models, the distribution in October 2012 is predicted.A Trip Length Distribution (TLD) method is applied to check the four predicted distributions with the actual distribution in October 2012.The results show that the Coincidence Ratios (CR) values got from the inverse power function and the exponential function based on the time impedance are 0.83 and 0.86 respectively;which based on the distance impedance are 0.81 and 0.82 respectively.This study indicates that the gravity distribution model based on time impedance has a better predication performance of inland freight transportation of the Yangtze River.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (345) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return