考虑出行环境的居住满意度结构方程模型

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (1): 130-136.

考虑出行环境的居住满意度结构方程模型

钟异莹¹，邵毅明¹，陈坚^{* 1, 2}

1. 重庆交通大学，重庆 400074；2. 重庆大学建筑城规学院，重庆 400044

收稿日期:2019-05-30 修回日期:2019-08-07 出版日期:2020-02-25 发布日期:2020-03-02
作者简介:钟异莹(1992-)，女，广西柳州人，博士生.
基金资助:
国家社会科学基金西部项目/National Social Science Foundation of China(17XGL009).

Structural Equation Model of Residential Satisfaction Considered Travel Environment

ZHONG Yi-ying¹, SHAO Yi-ming¹, CHEN Jian^{1, 2}

1. Chongqing Jiaotong University, Chongqing 400074, China; 2. Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400044, China

Received:2019-05-30 Revised:2019-08-07 Online:2020-02-25 Published:2020-03-02

摘要/Abstract

摘要：

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.

关键词: 城市交通, 出行环境, 结构方程模型, 因子分析, 居住满意度

Abstract:

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.

Key words: urban traffic, travel environment, structural equation model, factor analysis, residential satisfaction

中图分类号:

U491

钟异莹，邵毅明，陈坚. 考虑出行环境的居住满意度结构方程模型[J]. 交通运输系统工程与信息, 2020, 20(1): 130-136.

ZHONG Yi-ying, SHAO Yi-ming, CHEN Jian. Structural Equation Model of Residential Satisfaction Considered Travel Environment[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(1): 130-136.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19986.shtml

http://www.tseit.org.cn/CN/Y2020/V20/I1/130

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