A multi-objective framework for analysis of road network vulnerability for relief facility location during flood hazards: A case study of relief location analysis in Bankura District, India

2018 ◽  
Vol 22 (5) ◽  
pp. 1064-1082 ◽  
Author(s):  
Omprakash Chakraborty ◽  
Arup Das ◽  
Arindam Dasgupta ◽  
Pabitra Mitra ◽  
Soumya K. Ghosh ◽  
...  
2014 ◽  
Vol 15 (2) ◽  
pp. 397-411 ◽  
Author(s):  
Federico Rupi ◽  
Silvia Bernardi ◽  
Guido Rossi ◽  
Antonio Danesi

2014 ◽  
Vol 1030-1032 ◽  
pp. 1974-1983
Author(s):  
Xiang Yang Guo ◽  
Wen Ting Xiong

Current researches on road network vulnerability (RNV) are mostly focused on its evaluation and calibration, while the classification is rarely studied. For there’s no unanimous and standard criterion in researches on the levels ofRNV, it is urgent to find a practical method to defineRNVclassification for better traffic monitoring and management. In this study, a methodology based on fuzzy clustering is constructed to define theRNVcategories. At the same time, this study presents a method to calibrate the availability of such classification. A case study using this methodology is implemented in Xingsha District, Changsha City for determining appropriateRNVcategories in the year of 2011. It is found that (1)RNVof this district can be classified into three categories: serious vulnerable level, middle vulnerable level and feeble vulnerable level. (2) links in the artery are at serious vulnerable level ofRNV(3) most links are at the middle vulnerable level, so theRNVin the district can be generally defined as at middle vulnerable level.


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