Drivers’ intentions toward green transport in China: Understanding associations between demographic and policy factors

Abstract

This study aimed on how demographic and scenario analysis can be used to assess the drivers’ intentions toward green transport in China. The special scale was constructed and the survey data was collected from 1090 car drivers in three cities in China. Binary logistic analysis was applied to evaluate the respondents’ demographic and intentional differences when different policies and price scenarios were constructed and provided. Three policy options of parking charge, fuel tax, and congestion charge were considered in this study. The results showed that demographic variables including gender, age, education, residence type, children status, family numbers, and household income could predict in varying degrees the drivers’ intentional changes toward green transport in different policy scenarios. And the three policy options had different impacts on different types of population. Finally, we outlined the high and low policy objectives for the urban transport planning. This study will provide empirical evidence and suggestions for the policy-makers to manage different social and demographic groups when considering the effects of transport policies in the implementation of sustainable urban transportation.