交通运输工程与信息学报2025，Vol.23Issue(3)：156-170,15.DOI:10.19961/j.cnki.1672-4747.2024.10.007
融合步行环境影响的出行方式选择行为模型
Behavioral models of travel mode choice integrating the impact of the walking environment
摘要
Abstract
[Background]As an important component of urban transportation system,the quality of pedestrian environments directly affects residents'travel experiences and choices of conventional public transportation,rail transit and other modes.However,existing research has not fully consid-ered the quantitative impact of pedestrian environments on travel intentions,and the quantification of pedestrian environments lacks a common representation of subjective and objective indicators.[Objective]In response to the shortcomings of existing research,this study aims to deeply analyze the impact mechanism of the pedestrian environment on urban residents'travel mode choices.[Methods]By introducing nine latent variables such as subjective norms,attitudes,and walking envi-ronment to more accurately depict the psychological decision-making process of different travel mode choice behaviors,innovative image recognition technology and personal subjective perception indicators were applied to jointly characterize the walking environment variables.Structural equation modeling was used to characterize the interrelationships between various psychological latent vari-ables,as well as the relationships between the nine latent variables and their corresponding measure-ment variables.A mixed model of travel mode choice behavior considering the influence of the walk-ing environment was constructed to improve the predictive accuracy and explanatory power of the model regarding the decision-making behavior of travelers.[Results]Considering travelers in the central urban area of Chongqing as an example,the results showed that the walking environment had the greatest impact on the choice of walking mode(0.665),followed by the impact on conventional public transportation(0.663),rail transit(0.384),and cars(0.304).In addition,the goodness of fit of the SEM-MNL model considering latent variables such as the walking environment increased from 0.2752 to 0.4544,indicating that the model incorporating the walking environment had stronger inter-pretability.[Application]The research results can deepen our understanding of urban residents'travel mode choice behavior,improve the urban walking environment,and lay a good theoretical foundation to encourage eco-friendly travel.关键词
交通工程/步行环境/图像识别/潜变量Key words
traffic engineering/walking environment/image recognition/latent variables分类
交通工程引用本文复制引用
邓颖,陈坚,高建杰,王永轩,陈琦..融合步行环境影响的出行方式选择行为模型[J].交通运输工程与信息学报,2025,23(3):156-170,15.基金项目
国家自然科学基金面上项目(52472339) （52472339）
重庆市交通科技项目(CQJT-CZKJ2024-05) （CQJT-CZKJ2024-05）
智能警务四川省重点实验室开放课题项目(ZNJW2024KFMS007) （ZNJW2024KFMS007）
