@inproceedings{oai:kutarr.kochi-tech.ac.jp:00001160,
 author = {CHUN, Pang-jo and INOUE, Tatsuo and SETO, Daisuke and OHGA, Mitao},
 book = {Society for Social Management Systems Internet Journal},
 month = {May},
 note = {This manuscript proposes a bridge deterioration prediction method using a Markov chain model, whose transition probabilities are expressed as a function of environmental conditions. These conditions are obtained from a Geographic Information System (GIS) bridge database developed in Ehime University (E-GISDB). In addition, this paper validates the proposed method using the inspection results of bridges in City J in Ehime prefecture, Japan. The method enables different deterioration predictions to be made for different bridges, which is not possible with conventional methods. As a result, it is shown that predictions obtained by the proposed method are much more accurate than those obtained by conventional methods, especially for RC bridges near the coast, which experience the most severe degradation of all bridges due to the salt breeze.},
 publisher = {Society for Social Management Systems},
 title = {PREDICTION OF BRIDGE DETERIORATION USING GIS-BASED MARKOV TRANSITION MATRIX},
 volume = {8},
 year = {2012}
}