基于系统动力学的高速公路维护管理系统仿真研究

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (3): 676-682.

基于系统动力学的高速公路维护管理系统仿真研究

张宏, 任芳敏, 郑荣贝

浙江大学建筑工程学院,浙江杭州 310058

收稿日期:2015-10-10 修回日期:2015-12-08 发布日期:2020-07-02
作者简介:张宏(1963-),男,四川成都,教授,博导,研究方向为建设工程管理系统仿真;任芳敏(1990-),女,浙江绍兴,硕士生,研究方向为工程管理。
基金资助:
高等学校博士学科点专项科研基金(博导类)(20130101110058)

Simulation Research for Highway Maintenance Management System Based on System Dynamics

Zhang Hong, Ren Fangmin, Zheng Rongbei

College of Architecture Engineering, Zhejiang University, Hangzhou 310058, China

Received:2015-10-10 Revised:2015-12-08 Published:2020-07-02

摘要/Abstract

摘要： 围绕高速公路维护管理问题的政策制定和维护方案决策,需要研究长时期内高速公路维护成效与利益相关者之间的动态影响关系。在分析高速公路维护管理系统动态性和复杂性的基础上,结合中国的实际情况,建立了高速公路维护管理系统的系统动力学仿真模型。该研究的目的是通过系统动力学模型模拟评估包括高速公路网络、运营机构维护方案决策、用户满意度及政府预算分配方案在内的各子系统之间相互影响的长期动态关系。通过对某高速公路维护管理系统的仿真研究与分析,展示了所建系统动力学模型的有效性和实用性。

关键词: 高速公路维护管理, 利益相关者, 相互影响, 长期动态关系, 系统动力学, 仿真

Abstract: It is necessary to study the long-term and dynamic relationships between highway maintenance efficiency and stakeholders, thus helping decision-making on the policies and maintenance plans around the highway maintenance issue. Based on analyzing dynamics and complexities of highway maintenance system, the system dynamics model for the highway maintenance simulation system was established. This study was aimed at simulating and evaluating the long-term dynamic relationships of the interactions among the highway pavement performance, operator's maintenance plans, users' satisfaction and administration department's budget allocation scheme for a long time period. The effectiveness and application of the proposed model were demonstrated through a case simulation and analysis of highway maintenance management.

Key words: highway maintenance management, stakeholders, interaction, long-term and dynamic relationship, system dynamics, simulation

中图分类号:

TP391.9

张宏, 任芳敏, 郑荣贝. 基于系统动力学的高速公路维护管理系统仿真研究[J]. 系统仿真学报, 2016, 28(3): 676-682.

Zhang Hong, Ren Fangmin, Zheng Rongbei. Simulation Research for Highway Maintenance Management System Based on System Dynamics[J]. Journal of System Simulation, 2016, 28(3): 676-682.

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