1,720,994 research outputs found
Hybrid choice model to disentangle the effect of awareness from attitudes: Application test of soft measures in medium size city
No full textThe need to reduce private vehicle use has led to the development of soft measures aimed at re-educating car users through information processes that raise their awareness about the benefits of environmentally friendly modes, encouraging them to voluntarily change their travel choice behaviour (level of services characteristics being equal). It has been observed that these measures can produce enduring changes, being the result of mindful decisions. It is important then to try and understand what contributes to shape individuals’ preferences in order to be able to define the best policy for fostering changes toward more pro-environmental modes. The objective of this work is to provide empirical evidence of the effect of awareness and individual attitudes on the switch from car driver to more sustainable modes such as Park and Ride. In particular we attempt to discriminate the effect of awareness due to the information provided in a Stated Preference experiment from the effect of individuals’ attitudes toward stress and social norms with respect to sustainable transport modes. The case study refers to the implementation of a Voluntary Travel Behaviour Change programme in Cagliari (Italy), carried out with the purpose of promoting the use of the light rail in Park and Ride mode. To account for all these effects in the choice between car and Park and Ride we estimate a Hybrid Choice Model where the discrete choice structure allows us to estimate the effect of awareness of environment and stress, while the latent structure allows us to estimate the effect of the latent effect of norms and attitudes toward environment and stress. The results from this case study show that the more people consider the information about stress useful, the more they tend to behave sustainably, suggesting the importance of reporting feedback about stress in the personalised travel plan to promote sustainable mobility. Interestingly, the information about pollution has instead less impact in shifting behaviour toward sustainable modes
Measuring soft measures within a stated preference survey: the effect of pollution and stress from traffic in the mode choice
No full textA hybrid discrete choice model to assess the effect of awarness and attitude toward environmental friendly modes
No full textMeasuring soft measures within a stated preference survey: The effect of pollution and traffic stress on mode choice
Full text linkThe objective of this research is to study the extent to which information on pollution and individual stress has on the choice to shift from private car to Park and Ride. A Stated Preference experiment was built where the reduction of CO2 and stress are attributes of the experimental design. Results showed that the utility to Park and Ride increases with the level of awareness, 2) the more individuals consider receiving information about stress useful, the more they tend to behave sustainably, 3) aspects associated with stress appear to have a greater influence on travel choice than environmental aspects
Analyzing the individual factors determining the usage duration of an active GPS tracker app with a joint binary-ordered probit model
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Estimation and validation of hybrid choice models to identify the role of perception in the choice to cycle
No full textCycling is one of the most sustainable and ecofriendly modes of travel and a good form of exercise. Many government and public health authorities recommend cycling to stay fit as well as to reduce air and noise pollution, CO2 emissions, traffic congestion, and other negative consequences of car use. In light of these benefits, a major challenge for researchers today is how to promote cycling. However, in countries where cycling is not common, apart from the need for proper cycling facilities, one major issue concerns people's perception of cycling for sport or recreational activities rather than as a mode of transport. The aim of this paper is to explore the role of perception in the likelihood of the bike being used for utilitarian purposes. We focus on the perception of: the bicycle as a means of transport; bikeability (in terms of usefulness and safety) and of bike infrastructure. Hybrid Choice Models (HCMs) have been used to estimate the effect of people's perception on the propensity to bike. The HCM also accounts for the serial correlation between error terms in the discrete and latent perceptions, to allow for agent-common unknown factors. Furthermore, we also validate the model results using a hold-out sample and discuss some policy measures aimed at changing travel behavior. The results suggest that, besides individual characteristics, latent aspects related to the perception of the context and of the bicycle as a means of transport strongly affect the propensity to cycle
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