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Aug 30, 2023
Study on the Choice Behavior of Reservation License Plate Restriction Mode
Authors: Huanmei Qin [email protected], Cui Qian [email protected], Hankun Chen [email protected], Mengli Sun [email protected], Binhai Yu [email protected], and Hongfei Wang [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
Reservation license plate restriction policy can better meet individual travel demands and make travel more convenient. In order to analyze travelers’ choice behavior of reservation license plate restriction mode, this study investigated travelers’ acceptance willingness and intention of reservation license plate restriction and established a choice behavior model based on nested logit (NL) model to analyze the key factors affecting travelers’ choice behavior of reservation license plate restriction mode. The results show that 80.3% of travelers choose reservation license plate restriction policy. Most travelers have a high acceptance of the reservation license plate restriction policy. The attitude toward the effect of reservation license plate restriction policy and the attitude toward the travel demand situation using reservation license plate restriction have significant effects on travelers’ choice behavior of reservation license plate restriction mode. The results can provide a reference for future implementation of reservation license plate restriction policy.
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Published online: Aug 30, 2023
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1Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
2Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
3Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
4Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
5Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
6Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing, China. Email: [email protected]
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