Emissions and exposure costs of electric versus conventional vehicles: A case study in Texas

The emissions and human exposure impacts of electric vehicle (EV) adoption, especially in comparison to conventional gasoline- or diesel-powered engines, depend on numerous factors including geography, electricity generation, and fuel mix. Results of any analysis also vary depending on the nature of data collected and their level of aggregation by time or location. This paper combines several approaches to develop a robust estimate of these impacts specific to the state of Texas by considering marginal emissions by time of day, as well as location of vehicle and power plant emissions. The authors estimate health and other external costs of operating an EV in the state at approximately $62 per year, compared with an average of $136 for a passenger car powered by gasoline.     

Influencing factors and mechanisms on consumers' behavior: A case of tea tourism in China

This study explores the factors affecting tea tourism, including the action mechanisms and the impact level of each factor influencing consumer behavior intentions, to contribute to predicting tea tourism consumer behavior. This study surveyed 377 potential tea tourists and constructed a theoretical model of tea tourism consumers' planned behavior using SPSS and AMOS. The results show that: (a) The experiential perception and opportunity perception of tea tourists can significantly affect their attitudes, (b) The self-efficacy perception and convenience perception of tea tourists can significantly affect their perceptual control, and (c) The attitude of tea tourists can significantly positively influence their behavioral intention. This study not only broadens the applications boundary of the theory of planned behavior, but it also provides a new perspective for research on the behavioral awareness of tea tourism consumers. The findings have implications for predicting and promoting future tea tourism in China and beyond.     

Congestion tolls and parking fees: A comparison of the potential effect on travel behavior

This paper presents a comparison of attitudes towards congestion and parking tolls and explores their effect on travel behavior. The findings indicate that drivers are sensitive mainly to congestion tolls and are willing to change their travel habits to avoid these tolls. The major effect of a congestion toll is the shifting of the time of the journey. High levels of demand elasticity (−1.8 for congestion tolls and −1.2 for parking fees) were found. The readiness to pay parking fees is greater; thus, the effectiveness of congestion tolls in reducing demand is higher during the times the tolls apply.