Minimum acceptable time for turning off idling engines: Evidence from Taiwan

• We examine influenced factors of willingness to comply with idling stop regulations.
• Risk aversion behavior is the significantly factor about MAT.
• Environmental perception is another significantly factor about MAT.
• Partially adaptive model is more appropriate for estimating MAT with censored data.

This paper examines the influence of different factors on motorist willingness to comply with idling stop regulations, as determined using stated preference analysis. Motorists were surveyed at urban roadsides in Taiwan, and the results obtained were analyzed using a partially adaptive model. The analysis showed that the standing time and turnoff idling engine while parking are both significant variables, and arise from risk aversion behavior. Environmental perceptions and convenience of use are the most influential factors, according to elasticity analysis. The study also verifies that a partially adaptive model is an appropriate model to consider censored data in a Triple-Bounded Dichotomous Choice analysis. These results will be useful as a reference for improving implementation of idling reduction regulations.