深圳大学学报（理工版）2025，Vol.42Issue(5)：565-575,11.DOI:10.3724/SP.J.1249.2025.05565
基于仿真的宏观-微观递进式交通影响评价指标体系构建
Construction of macro-micro progressive traffic impact evaluation index system based on simulation
摘要
Abstract
Traffic impact analysis(TIA)plays an important role in urban planning and project construction management,particularly for coordinated development of land use and transportation systems.Traditional TIA method often relies on single-dimensional indicators and lacks coherence between project planning and implementation stages,and faces difficulty in obtaining environmentally friendly metrics,thus limiting the effectiveness in the full-process traffic supervision.To address these issues,a four-dimension,two-level progressive traffic impact evaluation indicator system is developed based on integrated macro-and microscopic traffic simulation.Focusing on motor vehicle traffic,the system evaluates four dimensions,which are traffic smoothness,balance,safety,and environmental friendliness,at both macro and micro levels,enabling macro-level pre-assessment during the project planning phase and micro-level detailed assessment during the implementation phases.Detailed calculation methods for each indicator are provided,along with instructions for obtaining data utilizing macro and micro simulation software.Judgment criteria for evaluation indicators are also proposed.Case studies demonstrate that the indicator system can accurately and comprehensively assess the traffic impact caused by the project and identify the design deficiencies,facilitating stage-specific improvement measures.The findings provide valuable reference for traffic management in construction projects under urban renewal contexts.关键词
交通影响分析/评价指标/交通安全/环境友好/仿真/城市更新Key words
traffic impact analysis/evaluation indicator/traffic safety/environmental friendliness/simulation/urban renewal分类
交通工程引用本文复制引用
王艳丽,向争良,金宇宁..基于仿真的宏观-微观递进式交通影响评价指标体系构建[J].深圳大学学报（理工版）,2025,42(5):565-575,11.基金项目
Shanghai Natural Science Foundation(23ZR1467600) （23ZR1467600）
National Natural Science Foundation of China(71804127) 上海市自然科学基金资助项目(23ZR1467600) （71804127）
国家自然科学基金资助项目(71804127) （71804127）
