Shipping chain configuration is one of the key logistics choices that have been ignored or treated insufficiently in the current freight transportation models. This study focuses on the shipping chain configuration and the modeling of its relevant logistics choices, including number of stops and stop types. A brief descriptive analysis of the results of an online establishment survey to explore different shipping chain configurations used by decision makers (business establishments) was done. Also, a system of hierarchical database models of shipping chain choice for freight transportation was presented. A system of decision tree models was proposed to determine the shipping chain configuration of freight transportation by identifying number of stops and type of stops per chain. The results of the survey were used for analysis and model estimation. The proposed decision tree models were developed by using 80% of the observations in the data, and the remaining 20% were used to validate the models. The results of model estimation indicated that shipments’ attributes were the most significant variables in predicting the configuration of the shipping chain. The results of the validation showed that the estimated trees could predict the shipping chain configuration for the test data with an acceptable precision, which confirmed that decision tree models were powerful tools that could be used to predict shipping chain configurations of freight flows.


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    Title :

    Shipping Chain Choices in Long-Distance Supply Chains


    Subtitle :

    Descriptive Analysis and Decision Tree Model


    Additional title:

    Transportation Research Record




    Publication date :

    2014-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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