ANNOUNCEMENTS
Humans have harmed the state of the environment that we are living in. The unthoughtful expansion of every activity known has created severe problems for us. One such problem is the hazardous level of air pollution. In one form or another, air pollution claims 4.2 million deaths per year (WHO). It has been primarily recognized that vehicular emissions are a prominent cause of air pollution. The importance of altering travel demand patterns has been recognized to reduce such emissions.
This study tries to determine the transition of societies between various modes of transport in order to understand travel behavior. For this, various fields of study, such as Behavioral Economics, Experimental Economics, and Evolutionary Game Theory, are applied together. This connection would help in capturing those aspects of travel demand that are less explored. By utilizing experimental games and quasi-experimental games approach, the data for the travel behavior characteristics is obtained. These experiments are designed for more than one period to apprehend the essence of transitioning.
The results show that the widespread “herd behavior” was not witnessed in laboratory-controlled settings. In this, the individuals made choices as per their opinion of the situation instead of relying on others. Logit modeling was used to estimate the probability of altering a specific transport choice when faced with the preferences of the peers. A comparison was made between short-distance trips and long-distance trips for a better knowledge of travel behavior. Also, the impact of treatment, such as Visual Aid and Additional Information on decision-making, was observed through the Propensity Score Matching technique.
