Influence mechanism of commuter’s low-carbon literacy on the intention of mode choice: a case study in Shanghai, China

Document Type

Journal Article

Publication Date

2022

Subject Area

place - asia, place - urban, ridership - commuting, ridership - mode choice, ridership - modelling, planning - surveys, planning - travel demand management, policy - sustainable

Keywords

Commuter travel intention, low-carbon literacy (LCL), low-carbon transportation, PLS-SEM

Abstract

Predicting the intention of mode choice is indispensable for policymakers to develop sustainable transportation in large cities. This paper constructs a conceptual framework and tests it in the travel mode sector to investigate the influence mechanism between commuter’s low-carbon literacy and intention of mode choice. Commuter’s low-carbon literacy (LCL) was assessed through four critical attributes: low-carbon knowledge (LCK), low-carbon awareness (LCAW), low-carbon habits (LCH) and low-carbon affection (LCAF). Based on a questionnaire survey in Shanghai, empirical evidence was concluded using the Structural Equation Model of Partial Least Square (PLS-SEM). The results of this study are as follows: (1) low-carbon knowledge, habits and affection have direct influences on commuter’s intention of mode choice, whereas low-carbon awareness influences commuter’s intention through these three low-carbon attributes indirectly; (2) low-carbon affection has the highest impact rating on the intention of mode choice in both performance and importance; (3) commuting trips are less closely associated with the influence of low-carbon literacy than other trips. These findings have several implications for transportation demand management and are beneficial for urban trip structure optimization.

Rights

Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.

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