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Pages 34-42

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From page 34...
... 34 C H A P T E R 5 5.1 Introduction Freight data sources tend to be heterogeneous in terms of structure, syntax, and semantics (Buccella et al.
From page 35...
... Classifying Data Elements Across Databases 35 resolution across multiple freight data sources were not found. The classification schemes found in the review of the literature are described in this section.
From page 36...
... 36 Implementing the Freight Transportation Data Architecture: Data Element Dictionary addresses four key business areas in transportation: (1) survey/roadway design, (2)
From page 37...
... Classifying Data Elements Across Databases 37 two types of elements is that only one "origin ID" can refer to a particular place in a database, but multiple places can each have "population" numbers, which are not necessarily unique. RBCS first determines and assigns a role to each data element within its database based on the primary and secondary level classification of that data element.
From page 38...
... 38 Implementing the Freight Transportation Data Architecture: Data Element Dictionary From the nine primary and two secondary classification groups, the following classifications groups (or roles) were developed: • Time elements, which provide information regarding either the exact time period (e.g., year, month, time, day)
From page 39...
... Table 5-1. How RBCS groups data elements across databases.
From page 40...
... Mode Feature - Number of Carloads Car Ownership Category Code AAR Equipment Type Code AAR Mechanical Designation STB Car Type TOFC/COFC Service Code … CarrierGroup CarrierGroupNew DistanceGroup Class - - Commodity Identifier Commodity (STCG) Commodity Code (STCC)
From page 41...
... Classifying Data Elements Across Databases 41 classification roles was counted, and the ratio (classification efficiency) of classified elements to the total number of elements in a data source was calculated, as follows: Classification efficiency Classified Elements Classified Elements Unclassified elements = + Table 5-2 shows the classification efficiency of all 28 data sources.
From page 42...
... 42 Implementing the Freight Transportation Data Architecture: Data Element Dictionary National Corridors Analysis and Speed Tool (N-CAST) database had 17 classified elements out of a total of 21 elements, which resulted in a classification efficiency of 81%.

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