a. School of Transportation ＆ Logistics; b. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, China
Abstract：Existing studies have shown that landslide is a complex geological phenomenon with multi-factor causation, and the weighted complex network is an important tool to study the complex causation mechanism, however, the existing weighting method cannot reflect the characteristics of the interactions between landslide causation, and it is necessary to propose a new quantitative method to assign weights to the connecting edges. Based on Granger causality analysis, this paper proposes a quantification method based on objective data weights to objectively assign weights to the strengths of interaction between landslide causal factors. Different objective quantification models were constructed to consider the linear or non-linear relationships among causal factors; and the effectiveness of the method was verified based on the causal data of precipitation, vegetation, surface runoff and other causal in the landslide mechanism network with scalability. The results show that the weighted quantification models can be based on objective causal time series and realise the dynamic assignment of the causal factors,which lays a solid foundation for quantitative research based on weighted complex networks.
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