考虑出行环境的居住满意度结构方程模型

为解决居住满意度缺少定量涵盖出行环境的问题，从出行环境、地理区位、社区环境、住房条件4 个维度提取居住满意度的影响因素，构建涵盖5 个潜变量、21 个测量变量的居住满意度结构方程模型，描述出行环境对居住满意度的影响及相互作用关系. 结果表明：出行环境、地理区位、社区环境、住房条件对居住满意度均有显著的正向影响，地理区位对出行环境也存在显著的正向影响；各维度总的影响效应呈现出地理区位(0.913)，出行环境(0.877)，社区环境(0.748)，住房条件(0.532)依次递减的趋势，但出行环境对居住满意度的直接影响最大，其值为0.887.

Structural Equation Model of Residential Satisfaction Considered Travel Environment

In order to solve the problem that the residential satisfaction lacked of quantitative coverage of the travel environment, factors influencing residential satisfaction were extracted from four dimensions, including travel environment, geographical location, community environment, housing conditions. The structural equation model of residential satisfaction was constructed, which included 5 latent variables and 21 measurement variables. The model is used to describe the influence and interaction between travel environment and residential satisfaction. The results show that travel environment, geographical location, community environment, and housing conditions have a significant positive impact on residential satisfaction. The geographic location has a significant positive impact on the travel environment. The total impact effect of each dimension show the decreasing trend of geographic location (0.913), travel environment (0.877), community environment (0.748), housing condition (0.532). However, travel environment has the largest direct impact on residential satisfaction, with a value of 0.887.