Department of Engineering Management, School of Civil Engineering, Central South University, Changsha 410075, China.
J Environ Public Health. 2022 Jul 14;2022:2579922. doi: 10.1155/2022/2579922. eCollection 2022.
This article made a system dynamics flow diagram (SD flow diagram) to describe the green railway engineering (GRE) system, which provides a theoretical basis for discussing the source and change process of the green degree of railway engineering(GDR) and also provides a practical basis for accurate policy implementation and evaluation promotion of GRE management. Based on the definition of GDR and using "input-output" relationship to analyze system structure of GRE, set two green goals of environmental and resource cost decreases as the clue, deconstructed practice process based on the principle of construction to form GRE system dynamic flow diagram, which aims to reveal the key influencing factors and promotion path of GDR. The results of the research show that (1) the green schemes set the foundation of GDR, including 3 schemes of green planning, green design, green construction, and determine the expected control values ( ) of 4 status, namely ecological damage degree, environmental pollution degree, land occupation degree, and resources consume degree. (2) The deviation of expected control values ( ) and actual control values ( ) from 4 status is the premise of whether the GDR needs to be optimized or improved, and 2 practice achievements of green knowledge innovation and green culture creation provided different promotion paths for GDR. (3) According to the SD flow diagram constructed by research, the 3 schemes are influenced by regional ecological carrying capacity, social material resource reserve, green knowledge reserve, green talent reserve , reasonable goals setting, strengthening preliminary research, making full use of resources, deepening the connection of procedures, and so on are conducive to build a foundation for GDR. (4) The 4 status are directly controlled by seven rate variables, which promote the dynamic optimization of GDR by technology, equipment, institution management, and behavior management. The SD flow diagram of GRE provides 2 contributions. The first provides an analytical basis for the study of the promotion strategy of GDR, and the second provides a model basis for further quantitative study of GDR.
本文构建了一个系统动力学流图（SD 流图）来描述绿色铁路工程（GRE）系统，为探讨铁路工程绿色度（GDR）的来源和变化过程提供了理论依据，也为绿色铁路工程管理的精准施策和评价推广提供了实践依据。基于 GDR 的定义，运用“投入-产出”关系分析 GRE 系统结构，以降低环境和资源成本的两个绿色目标为线索，依据建设原则对系统进行解构，形成 GRE 系统动力学流图，旨在揭示 GDR 的关键影响因素和提升路径。研究结果表明：（1）绿色方案为 GDR 奠定基础，包括绿色规划、绿色设计、绿色施工 3 个方案，确定了生态破坏度、环境污染度、土地占用度、资源消耗度 4 个状态的预期控制值（ ）。（2）4 个状态的预期控制值（ ）与实际控制值（ ）的偏差是 GDR 是否需要优化改进的前提，绿色知识创新和绿色文化创造 2 项实践成果为 GDR 提供了不同的提升路径。（3）根据研究构建的 SD 流图，3 个方案受区域生态承载力、社会物质资源储备、绿色知识储备、绿色人才储备等因素的影响，有利于为 GDR 奠定基础。（4）4 个状态直接受 7 个速率变量的控制，通过技术、设备、制度管理、行为管理推动 GDR 的动态优化。GRE 的 SD 流图有 2 个贡献，一是为 GDR 提升策略研究提供分析依据，二是为进一步开展 GDR 的定量研究提供模型依据。
