Abstract

To evaluate the effect of policy on province-wide toll discount for electronic toll collection (ETC) trucks, and to clarify the influence of trucks registered in other provinces on the toll discount flowed back to the local enterprises, we use structured query language server (SQL Server) database technology to process the toll collection data on expressway network, and propose an algorithm of recovery rate for the explanatory variables of toll preference, and verify the feasibility of the algorithm is by a case study. The results show that the recovery rate of the study case is 43.38% when there is an 85% discount on ETC truck toll in 2019, and 52.77% of the 56.62% toll discount outflowed from the case studied is generated by the trucks registered in other provinces according to a conservative estimate. Among them, the proportion of the toll discount of trucks registered in other provinces with 6 axles accounts for 77.29%, which is the root of toll discount loss. Although the traffic number across the province is not large, the toll discount is rather large owing to the long distance and heavy load. The recovery or loss of toll discount concentrates in the trucks with 2 axles, 4 axles and 6 axles, and trucks with 6 axles accounting for the largest proportion. This paper provides a reliable analysis basis for the accuracy of the differential charging policy on expressway, and promotes the rapid development of transportation economy.

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