面向精准营销的高速公路重型货车信用评价指标及方法

Credit Evaluation Indicators and Methods for Heavy-Duty Trucks on Highways Oriented towards Precision Marketing

摘要: 面向高速公路重型货车精细化运营与精准营销需求，本文构建了一套高速公路重型货车驾驶员综合信用评价体系。该体系以出行信用为核心，在遵循科学性、目标导向性、系统性、可操作性与独立性原则的基础上，以出行信用为信用分支，将基础信用、交通安全信用与载重信用作为折减输入，形成可量化、可恢复、可追溯的信用评价框架。结果表明，该信用体系能够有效区分不同出行价值与风险特征的重型货车用户，兼顾高频稳定出行的激励与高风险行为的约束，提升信用评价结果在用户分群、差异化收费与精准服务供给中的应用价值，为高速公路重型货车精细化管理与运营决策提供量化支撑。

Abstract: Addressing the demands for refined operations and precision marketing of heavy-duty trucks on highways, this paper constructs a comprehensive credit evaluation system for heavy-duty truck drivers on highways. Centered on travel credit as the core, and adhering to the principles of scientific rigor, goal orientation, systematicity, operability, and independence, this system establishes a quantifiable, recoverable, and traceable credit evaluation framework. It utilizes basic credit, traffic safety credit, and load credit as deduction inputs, with travel credit as the primary credit dimension. The results indicate that this credit system can effectively differentiate heavy-duty truck users based on their distinct travel value and risk characteristics. It balances the incentives for frequent and stable travel with the constraints on high-risk behaviors, thereby enhancing the applicability of credit evaluation results in user segmentation, differentiated tolling, and precise service provision. This provides quantitative support for refined management and operational decision-making concerning heavy-duty trucks on highways.