Journal
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
Volume 83, Issue -, Pages 30-41Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tra.2015.11.002
Keywords
Electromobility; Electric vehicles; Hybrid discrete choice model; Latent variables; Unreported income
Funding
- DEFINE as part of ERA-NET Plus Electromobility+ call by EU-Commission
- Ministry for Transport, Innovation and Technology (Austria)
- Federal Ministry of Transport and Digital Infrastructure (Germany)
- National Centre for Research and Development (Poland)
Ask authors/readers for more resources
This paper analyses the impact of the introduction of electromobility in Austria, focusing specifically on the potential demand for electric vehicles in the automotive market. We estimate discrete choice behavioral mixture models considering latent variables; these allows us to deal with this potential demand as well as to analyze the effect of different attributes of the alternatives over the potential market penetration. We find out that some usual assumptions regarding electromobility also hold for the Austrian market (e.g. proclivity of green-minded people and reluctance of older individuals), while others are only partially valid (e.g. the power of the engine is not relevant for purely electric vehicles). Along the same line, it is established that some policy incentives would have a positive effect for the demand for electrical cars, while others - such as an annual Park and Ride subscription or a one-year-ticket for public transportation - would not increase the willingness-to-pay for electromobility. Our work suggests the existence of reliability thresholds concerning the availability of charging stations. Finally this paper enunciates and successfully tests an alternative approach to address unreported information regarding income in presence of endogeneity and multiple information sources. We find that, for our sample, the presence of endogeneity and correlation makes both classical imputation techniques unsuitable. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available