Acceptance and Influence Mechanism of Drivers towards Graphical Route Information Panels: A Case Study in China

To investigate the response mechanism and route choice behavior of drivers under the influence of Graphical Route Information Panel (GRIP), we conducted a random intention survey to collect data on route choice behavior. Specifically, this study focused on the Shanghai Elevated GRIP as an illustrative example. We developed a mixed logit model to construct an off-ramp choice behavior model and analyze the factors influencing respondents’ choice behavior and their acceptance of GRIP information in different scenarios. The research reveals significant variations in route choice behavior among respondents when they are exposed to different congestion and accident information provided by GRIP. With GRIP offering information ranging from general congestion to accidents, the percentage of respondents opting for early lane changes increases from 43.5% to 95.1%. Socio-economic and travel attributes, like age, education level, driving experience, driving frequency, familiarity with elevated road, frequency of using elevated road, and method of obtaining travel information (GPS, FM), have a significant impact on choice behavior. Moreover, respondents’ attention to GRIP and the impact of GRIP on travel showed different taste differences in the behavior of different sample groups.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.086
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acceptance and Influence Mechanism of Drivers towards Graphical Route Information Panels: A Case Study in China

Wenchao Cao, Yanyan Chen
Transportation Planning and Optimization
article

Acceptance and Influence Mechanism of Drivers towards Graphical Route Information Panels: A Case Study in China

Wenchao Cao, Yanyan Chen
article en

Abstract

To investigate the response mechanism and route choice behavior of drivers under the influence of Graphical Route Information Panel (GRIP), we conducted a random intention survey to collect data on route choice behavior. Specifically, this study focused on the Shanghai Elevated GRIP as an illustrative example. We developed a mixed logit model to construct an off-ramp choice behavior model and analyze the factors influencing respondents’ choice behavior and their acceptance of GRIP information in different scenarios. The research reveals significant variations in route choice behavior among respondents when they are exposed to different congestion and accident information provided by GRIP. With GRIP offering information ranging from general congestion to accidents, the percentage of respondents opting for early lane changes increases from 43.5% to 95.1%. Socio-economic and travel attributes, like age, education level, driving experience, driving frequency, familiarity with elevated road, frequency of using elevated road, and method of obtaining travel information (GPS, FM), have a significant impact on choice behavior. Moreover, respondents’ attention to GRIP and the impact of GRIP on travel showed different taste differences in the behavior of different sample groups.

Beijing University of Technology (CN)
Openalex Percentile: Top 80%
Transportation Planning and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.