Journal ArticleDOI
Modeling Indian four-wheeler commuters’ travel behavior concerning fuel efficiency improvement policy
TLDR
In this article, the authors examined the relation between the Indian commuters' travel behavior and their support for vehicle fuel efficiency improvement policy towards energy conservation and environment protection and found that the implementation of this policy will modify the commuters behavioral intention leading to a travel behavior of having more car trips and hence longer travels.Abstract:
The present study examines the relation between the Indian commuters’ travel behavior and their support for vehicle fuel efficiency improvement policy towards energy conservation and environment protection. Data was collected through an attitudinal questionnaire survey conducted among selected commuters in south India. The set hypotheses were tested using structural equation modeling approach. The data analysis results revealed that the Indian commuters have a supporting attitude for vehicle fuel efficiency improvement policy towards fuel consumption and emission abatements. The modeling results also show that this policy has a positive influence in shaping the travel behavior of the commuters. This in turn shows that the implementation of this policy will modify the commuters behavioral intention leading to a travel behavior of having more car trips and hence longer travels. Besides the awareness over the threats of fuel consumption and emissions, the Indian commuters are interested in having more travel activities with fuel efficient cars. This shows the existence of direct rebound effect in the Indian personal transport sector. This behavior of the commuters can offset the benefits, which are expected out of the fuel efficiency improvement policy and reduced car use, of fuel consumption and greenhouse gas emission abatements in the country.read more
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Travel preferences of multimodal transport systems in emerging markets : the case of Beijing
TL;DR: In this paper, travel preferences in the metropolitan area of Beijing, which is notoriously plagued with high degrees of congestion, have been studied and the results provide rich information on how trade-offs are made among the manipulated attributes regarding travel time, cost, convenience and reliability.
Journal ArticleDOI
Psychological Predictors of Energy Saving Behavior: A Meta-Analytic Approach.
Giuseppe Carrus,Lorenza Tiberio,Stefano Mastandrea,Parissa Chokrai,Immo Fritsche,Christian A. Klöckner,Torsten Masson,Stepan Vesely,Angelo Panno +8 more
TL;DR: In this paper, the authors applied a meta-analytical procedure to assess the strength of the associations between five different classes of individual variables (i.e., attitudes, intentions, values, awareness, and emotions) and energy-saving behavioural intentions and behaviours (self-reported and actual).
Journal ArticleDOI
2 °C target, India’s climate action plan and urban transport sector
TL;DR: In this paper, the authors examined the climate impact of urban transport sources in India and its proposed mitigation plan to achieve 2°C reduction goal in post-Kyoto era, where a strong emphasis was laid on mass-transit projects, energy efficient vehicles, bio-fuel and stringent vehicle emission norms to achieve desired results.
Journal ArticleDOI
Empirical evidence of direct rebound effect in Indian two-wheeler sector
TL;DR: In this paper, the authors aimed at seeking for the existence of direct rebound effect and its stability over time in two-wheeler transport sector in India using aggregate time series data.
Posted Content
Travellers’ profiles definition using statistical multivariate analysis of attitudinal variables
TL;DR: In this article, the authors present a set of travellers' typologies using attributes characterizing people's attitude, through an exploratory factor analysis (EFA), and a subsequent cluster analysis (CA), based on the obtained latent constructs.
References
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