交通运输研究2024，Vol.10Issue(3)：75-82,8.DOI:10.16503/j.cnki.2095-9931.2024.03.009
多模式出行信息对小汽车出行者转向P+R的影响
Influence of Multimodal Travel Information on Car Travelers' Shift to P+R
摘要
Abstract
To advocate the concept of green travel and address the likely neglected issues of potential cor-relation among repeated observations and individual heterogeneity in previous studies,this study explored how to leverage multimodal travel information provided by smartphone APPs to steer private car trav-elers towards park-and-ride(P+R)mode,and constructed a GLMM(Generalized Linear Mixed Mod-el)to analyze the influence of multimodal travel information on private car travelers'intention to shift towards P+R.Firstly,based on the road network of Shanghai,a stated preference survey was de-signed,and the information on road congestion levels,travel time,parking fees,and subway seat avail-ability for both self-driving and P+R options was integrated.A full factorial design approach was em-ployed to construct 24 hypothetical scenarios with varying combinations information levels.Then,the multimodal travel information was presented to private car travelers through smartphone APP inter-face illustrations,and their intentions to shift towards P+R were collected.Finally,the GLMM method was used to address the correlation in repeated decision-making data from the same individual and capture inter-individual heterogeneity.The results showed that the application of GLMM not only re-solved the correlation within repeated decisions made by the same individual but also revealed differ-entiated concerns among individuals regarding information on road congestion and subway seat avail-ability;the integration of multimodal travel information via smartphone APPs significantly increased private car travelers'willingness to shift towards P+R,with a notable shift ratio of 29.2%;however,travelers with higher income,longer driving experience,and limited knowledge of P+R policies exhib-ited lower intentions to adopt P+R.The study concludes that the integration of multimodal travel infor-mation for self-driving and P+R options through smartphone APPs significantly enhances the attrac-tiveness of P+R,offering novel insights for boosting P+R adoption rates and effectively promoting the transition of private car travelers towards green travel modes.关键词
绿色出行/多模式出行信息/停车换乘/意向调查/广义线性混合模型Key words
green travel/multimodal travel information/P+R(Park-and-Ride)/stated preference survey/generalized linear mixed model分类
交通工程引用本文复制引用
王馨玉,干宏程,朱妍,黄玥,陆欢,温金鹏..多模式出行信息对小汽车出行者转向P+R的影响[J].交通运输研究,2024,10(3):75-82,8.基金项目
国家自然科学基金项目(71871143) （71871143）
