考虑出行行为中介效应的建成环境对生活满意度影响机理研究

我国城市的蔓延式发展与快速机动化带来的交通问题导致了“幸福停滞”的增长困局，通过土地利用和交通协同发展提升居民生活满意度是城市交通管理领域的研究热点。本项目拟从静态影响机理和动态因果机制两方面研究建成环境和出行行为对生活满意度的影响，提出差异化的建成环境优化路径和行为引导策略。融合个体行为调查、兴趣点及土地利用等数据构建建成环境与个体行为关联数据库，以非线性关联为着眼点，基于机器学习技术开展建成环境和出行行为对生活满意度的阈值效应研究，识别影响生活满意度的关键因素及其有效影响范围；将出行行为中介效应融入建成环境对生活满意度的非线性影响分析过程中，构建广义结构方程模型揭示建成环境对生活满意度的影响路径；以纵向数据为基础，挖掘建成环境和出行行为等因素变化对生活满意度的影响，揭示三者之间的因果关联机制，以期为“以人为本”的可持续交通规划设计和城市精细化管理提供理论基础。

The urban sprawl and traffic-related problems owing to increases in motorized travel demand have caused the sluggish growth of life satisfaction. It has become a research hotspot in the field of urban traffic management to improve residents’ life satisfaction through the coordinated development of land use and transportation. This project aims to explore the relationship among built environment, travel behavior and life satisfaction by combining static influence mechanisms and dynamic causal effects. Based on this analysis, differentiated built environment optimization paths and behavior constraint strategies are proposed. First, travel survey data, points of interest and land use data are used to build the built environment-individual behavior database. Focusing on nonlinear relationships, the threshold effects of built environment and travel behavior are explored based on machine learning methods. The effective ranges of key factors are identified. Then, in order to explore the influence paths of built environment on life satisfaction, the mediating effects of travel behavior on the nonlinear relationship between built environment and life satisfaction are considered based on a generalized structural equation model. Finally, the influences of built environmental and travel behavior changes on life satisfaction are explored to reveal their dynamic correlation mechanisms based on longitudinal data. The findings provide theoretical basis for user-friendly traffic planning and refined urban management.