Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

Musti, Sashank; Kockelman, Kara M.

doi:10.1016/j.tra.2011.04.011

Cited by 106 publications

(94 citation statements)

References 22 publications

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“…Firstly, the analysis indicates the presence of preference heterogeneity across a typology of consumer groups (Axsen et al 2015), implying that demand for EVs will likely originate from a sequence of different segments as the market matures. One implication of this preference heterogeneity is that models which forecast demand for EVs into the future (Eggers and Eggers, 2011;Musti and Kockelman, 2011;Shepherd et al 2012) could be augmented through an appreciation of which market segment is likely to become active at which time horizon. Indeed, this combination of market segmentation and forecasting analysis could provide rich descriptions of potential EV adoption trajectories by noting the temporal dynamics of demand and the consumer structures underpinning these dynamics.…”

Section: Discusionmentioning

confidence: 99%

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Morton

Anable

Nelson

2016

International Journal of Sustainable Transportation

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Article:Morton, C orcid.org/0000-0003-0984-9580, Anable, J orcid.org/0000-0002-4259-1641 and Nelson, J (2017) Consumer Structure in the Emerging Market for Electric Vehicles: Identifying market segments using cluster analysis. International Journal of Sustainable Transportation, 11 (6 ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. 1 Consumer Structure in the Emerging ABSTRACTThis paper presents results from a segmentation analysis of the emerging market for Electric Vehicles (EVs). Data has been sourced through the application of a self-completion household questionnaire distributed over two cities in the United Kingdom (UK). A two stage cluster analysis methodology has been followed to identify market segments in a dataset of UK drivers. Five unique segments have been identified in the analysis and are characterised by their preferences for EVs, socio-economic characteristics, current car details, and socio-psychological profiles. These segments hold a range of different EV preference levels, from those who appear unwilling to adopt an EV to those which are clearly attracted to EVs. Moreover, the features of these segments tend to suggest that segments might be attracted to or repelled from EVs for different reasons. These results demonstrate that a significant degree of consumer stratification is present in the emerging market for EVs, with the possible implications being that policy interventions at the market, as opposed to segment, level may prove ineffective due to their inability to cater for the nuances of important segments.

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Section: Discusionmentioning

confidence: 99%

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Morton

Anable

Nelson

2016

International Journal of Sustainable Transportation

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“…Transport technology options that use electricity and hydrogen fuel cells have the potential to play a major role in decarbonising the transport sector (Anandarajah et al, 2013). Mitigation scenarios for cities (Yang, et al, 2009;Musti & Kockelman, 2011) and at the national and regional level (Pye et al, 2014;Skippon et al, 2012) show the importance of behaviour change in enhancing mitigation efforts. The present study therefore aims to analyse the potential socio-economic impacts of decarbonisation, with a focus on South Africa's potential transport futures, as departures from the Integrated Energy Plan.…”

Section: Introductionmentioning

confidence: 99%

Decarbonisation and the transport sector: A socio-economic analysis of transport sector futures in South Africa

Caetano

Merven

Hartley

et al. 2017

J. energy South. Afr.

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“…Several studies have investigated the demand for EEVs through stated-preference (SP) surveys across multiple countries, including: Denmark (Mabit and Fosgerau, 2011) Germany (Hackbarth and Madlener, 2013;Ziegler, 2012), Norway (Dagsvik et al, 2002), United Kingdom (Batley et al, 2004), Canada (Ewing and Sarigöllü, 1998), USA (Brownstone et al, 1996;Bunch et al, 1993;Hess et al, 2012;Musti and Kockelman, 2011) and Australia (Beck et al, 2013). Although each of these studies differed in their approach, all involved SP surveys where characteristics were varied among various types of vehicles including EEVs and presented to respondents, who in turn made hypothetical choices about which vehicle they would be most likely to purchase.…”

Section: Introductionmentioning

confidence: 99%

“…This paper's RP approach involves modeling the characteristics of private individuals who purchased new EEVs, whilst estimating the effect of the congestion tax exemption on marginal demand. The study specifically builds on work undertaken by Bunch et al (1993), Musti and Kockelman (2011), Campbell et al (2012), Graham-Rowe et al (2012) and Ziegler (2012) in Transportation Research Part A: Policy and Practice, in attempting to identify individuals that are most likely to purchase a energy-efficient vehicle. This paper also contributes to the current literature by examining the effectiveness of a tax exemption under revealed preference conditions, and by assessing the total effect of the policy based on key indicators for policy makers, including: vehicle owner home and work locations, commuting patterns, number of children, number of vehicles, age, gender and income.…”

Section: Introductionmentioning

confidence: 99%

“…In terms of incentive policies, Musti and Kockelman (2011) found that under both the hypothetical scenarios of a doubling in fuel prices or a rebate for EEVs, there would be little effect on the share of these vehicles in Texas, USA. Given the scenario of a 'feebate', however, where individuals would be compensated or charged in a carrot-and-stick approach depending on the fuel economy of the vehicle used, the share of EEVs would be increased by approximately 10%.…”

Section: Introductionmentioning

confidence: 99%

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The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm

Whitehead

Franklin

Washington

2014

Transportation Research Part A: Policy and Practice

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As governments seek to transition to more efficient vehicle fleets, one strategy has been to incentivize 'green' vehicle choice by exempting some of these vehicles from road user charges. As an example, to stimulate sales of Energy-Efficient Vehicles (EEVs) in Sweden, some of these automobiles were exempted from Stockholm's congestion tax. In this paper the effect this policy had on the demand for new, privately-owned, exempt EEVs is assessed by first estimating a model of vehicle choice and then by applying this model to simulate vehicle alternative market shares under different policy scenarios. The database used to calibrate the model includes owner-specific demographics merged with vehicle registry data for all new private vehicles registered in Stockholm County during 2008. Characteristics of individuals with a higher propensity to purchase an exempt EEV were identified. The most significant factors included intra-cordon residency (positive), distance from home to the CBD (negative), and commuting across the cordon (positive). By calculating vehicle shares from the vehicle choice model and then comparing these estimates to a simulated scenario where the congestion tax exemption was inactive, the exemption was estimated to have substantially increased the share of newly purchased, private, exempt EEVs in Stockholm by 1.8% (+/-0.3%; 95% C.I.) to a total share of 18.8%. This amounts to an estimated 10.7% increase in private, exempt EEV purchases during 2008 i.e. 519 privately owned, exempt EEVs.

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Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas

Cited by 106 publications

References 22 publications

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Consumer structure in the emerging market for electric vehicles: Identifying market segments using cluster analysis

Decarbonisation and the transport sector: A socio-economic analysis of transport sector futures in South Africa

The impact of a congestion pricing exemption on the demand for new energy efficient vehicles in Stockholm

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