Serendipity of vehicle ownership restrictions: Beijing’s license plate lottery cultivates non-driving behavior

Quan, Yifei; Xie, Luhua

doi:10.1016/j.trd.2022.103532

Cited by 4 publications

(1 citation statement)

References 23 publications

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“…For example, cities such as Beijing, Shanghai, and Guangzhou have implemented policies restricting the movement of vehicles based on license plate numbers [7]. In addition, a typical measure to reduce the number of cars is the license plate lottery system, which is currently in place in cities like Beijing, Tianjin, Shenzhen, and Hangzhou [8,9]. However, solely focusing on legislation is insufficient for long-term improvements in transportation carbon emissions [10].…”

Section: Introductionmentioning

confidence: 99%

Low-Carbon Travel Behavior in Daily Residence and Tourism Destination: Based on TPB-ABC Integrated Model

Wang,

Shen

et al. 2023

Sustainability

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Low-carbon travel is considered as one of the most important strategies to reduce transportation carbon emissions, and its success is decided by the active participation of residents. Based on the theory of planned behavior (TPB) and Attitude-Behavior-Context theory (ABC), this study explores the influencing factors and formation paths of individual low-carbon travel behavior, and analyzes low-carbon travel behavior regarding both daily commuting from residence and tourism destinations. This study collects a sample of 506 respondents and uses Mplus 8.0 to examine the hypotheses. Empirical research results indicate that: (1) A certain gap exists in the individuals’ low-carbon travel behavior between daily residence and tourism destination. Differences exist in direct effects, mediating effects and moderating effects. (2) Low-carbon travel behavioral intention plays a significant mediating role in both daily residence and tourism destination, especially the former. Regarding daily residence, individuals’ attitude, subjective norms and perceived behavioral control have a positive effect on behavior through behavioral intention. Regarding tourism destination, only the attitude-low-carbon travel behavioral intention-behavior path is significant. (3) Situational factors play a significant positive moderating effect on the relationship between low-carbon travel behavioral intention and behavior, especially in tourism destination. This study reveals the internal mechanism of individuals’ low-carbon travel behavior and the differences between travel in daily life and tourism, helping to deepen understanding of individuals’ low-carbon travel behavior and providing guidance for promoting individuals’ low-carbon travel.

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