Public charging infrastructure for plug-in electric vehicles: What is it worth?

https://doi.org/10.1016/j.trd.2019.11.011Get rights and content

Highlights

  • Public charging has value to users and can support PEV adoption.

  • For PHEV, public charging displaces gasoline use.

  • For BEV, public charging enables additional driving.

  • Estimate functions of willingness to pay for public charging infrastructure.

  • Existing charging infrastructure in CA is worth thousands of dollars per user.

Abstract

Lack of charging infrastructure is an important barrier to the growth of the plug-in electric vehicle (PEV) market. Public charging infrastructure has tangible and intangible value, such as reducing range anxiety or building confidence in the future of the PEV market. Quantifying the value of public charging infrastructure can inform analysis of investment decisions and can help predict the impact of charging infrastructure on future PEV sales. Estimates of willingness to pay (WTP) based on stated preference surveys are limited by consumers’ lack of familiarity with PEVs. As an alternative, we focus on quantifying the tangible value of public PEV chargers in terms of their ability to displace gasoline use for PHEVs and to enable additional electric (e−) vehicle miles for BEVs, thereby mitigating the limitations of shorter range and longer recharging time. Simulation studies provide data that can be used to quantify e-miles enabled by public chargers and the value of additional e-miles can be inferred from econometric estimates of WTP for increased vehicle range. Functions are synthesized that estimate the WTP for public charging infrastructure by plug-in hybrid and battery electric vehicles, conditional on vehicle range, annual vehicle travel, pre-existing charging infrastructure, energy prices, vehicle efficiency, and household income. A case study based on California’s public charging network in 2017 indicates that, to the purchaser of a new BEV with a 100-mile range and home recharging, existing public fast chargers are worth about $1500 for intraregional travel, and fast chargers along intercity routes are valued at over $6500.

Introduction

The adoption of alternative fuels and vehicles is hindered by the “chicken or egg” problem: consumers are reluctant to purchase alternative fuel vehicles (AFV) unless there is refueling infrastructure, but fuel suppliers are hesitant to build that infrastructure until enough alternative fuel vehicles are on the road to make it profitable (Sperling, 1988, McNutt and Rodgers, 2004, NRC, 2015, Gnann and Plötz, 2015, Melaina et al., 2017). In the early stages of market development alternative refueling infrastructure tends to be underutilized (e.g., EV Project, 2014, EV Project, 2015) and the development of sufficient demand can take decades (NRC, 2013, 2015). As a consequence, unless the private benefits of AFVs are compelling, public policy intervention is necessary to initiate markets for AFVs and related infrastructure and sustain them during the early phases of development (NRC, 2013). This is especially true when there are important public benefits, such as reduced greenhouse gas emissions, improved local air quality, and energy security.

Quantifying the value of public charging infrastructure to current and potential owners of plug-in electric vehicles (PEV) is essential to weighing its benefits and costs, and predicting its impact on future PEV sales.1 In this paper, we focus on the value of the existence of public charging infrastructure to the consumer, apart from any charge for using it (Greene et al., 2019). In this sense, our estimates correspond to the economic concept of willingness to pay (WTP), as explained in section II. At this stage of the market, utilization rates of public charging are low, their business model is uncertain, public and private roles are not well defined, chargers are subsidized in many instances, and cost of charging varies widely geographically and temporally (e.g., Klass, 2018, Lee and Clark, 2018, Muratori et al., 2019). The cost of using public charging is obviously important but it is not included in our WTP estimates.

Estimating WTP via stated preference experiments can produce valuable insights but also has limitations. Given the novelty of PEVs, their small market shares, and motorists’ lack of familiarity with recharging a vehicle, it is difficult for respondents to provide valid answers to survey questions (Lee and Clark, 2018, p. 46). In this paper we develop an alternative framework for estimating the tangible value of public PEV recharging infrastructure that has its own limitations but may still provide useful insights. The method focuses on estimating the ability of public charging stations to enable additional electric miles (e-miles) of travel. Infrastructure also enhances the visibility of electric vehicles and creates confidence in their viability and permanence, which can also influence adoption (Bailey et al., 2015). Public chargers can potentially make it possible for those without home/workplace charging capabilities to own such a technology. However, such benefits are not included in this analysis.

Simulation analyses making use of geographically and temporally detailed vehicle travel data have quantified the ability of charging stations to enable additional e-miles. Econometric analyses of the value of infrastructure and especially the value of PEV range allow us to infer the value of enabled e-miles. By combining insights from existing simulation modeling and econometric analyses, we develop functions that estimate WTP for charging infrastructure by type of PEV, as a function of its electric range, drivers’ annual vehicle travel, pre-existing charging infrastructure, energy prices and efficiency, and household income.

The value of public charging infrastructure is defined in terms of WTP in Section 2. We distinguish between two types of PEVs and three types of infrastructure because they affect WTP in different ways. The tangible sources of value for plug-in hybrid electric vehicles (PHEVs) and all-electric or battery electric vehicles (BEVs) are described in section III, and the costs of access and charging time are considered. Our method of estimating WTP is presented in section IV along with supporting empirical evidence. Section V presents the functions relating WTP for public charging stations for PHEVs, and BEVs in intra- and inter-regional travel. Section VI presents a case study, estimating illustrative WTP for charging infrastructure, leveraging data representative of California’s PEV market and charging station availability.

Section snippets

The value of public charging infrastructure

The value of a good to a consumer can be measured by the consumer’s WTP for it, defined as the maximum amount of money an individual would agree to give up to obtain a good or avoid a bad (Varian, 1992). Let U(x, y, z) be the indirect utility function of a representative consumer, where x is a vector of vehicle attributes including price, y is a vector of consumer attributes, and z contains variables describing the context of the choice, one of which is the availability of public charging

Tangible benefits of public charging infrastructure

Public charging infrastructure increases the value of PEVs to their owners and potential purchasers by increasing the number of miles that can be traveled powered by electricity (e.g., Peterson and Michalek, 2013, Lin and Greene, 2011). Because PHEVs are capable of continued operation when their batteries are depleted, the tangible benefit of more e-miles lies in cost reduction by substituting electric miles for gasoline-powered miles.5

Quantifying WTP: Combining theory, simulation, and econometrics

In this section we synthesize functions describing WTP for charging infrastructure as a function of vehicle range, charger availability, income, and annual miles of travel, first for BEVs and then PHEVs. For BEVs we rely on simulation studies to estimate functions relating the availability of public charging infrastructure to additional enabled vehicle miles of travel. We turn to econometric analyses to estimate the value of enabled miles. Simulation studies provide estimates of the ability of

Synthesis: WTP for charging infrastructure

In this section we combine the functional relationships from simulation modeling with the value functions for increased e-miles, inferred from econometric studies, to produce functions associating the capitalized present value of WTP for charging infrastructure to a change in infrastructure availability. The WTP functions presented below estimate total WTP as a function of availability of public chargers. The marginal WTP for an increase in availability is therefore the derivative of these

California case study

The State of California (CA) is leading the way in adoption of PEVs nationally, accounting for 47.38% of the U.S. market in 2016 (IHS Markit, 2017). State and local agencies support light-duty vehicle electrification though various policies, including the Zero Emission Vehicle (ZEV) mandate (CARB, 2017), tax credits, rebates, high occupancy vehicle lanes access, and more (AFDC, 2018c). Significant investments have been made to support publicly accessible chargers. As of April 2018, 3939 L2 and

Conclusions, limitations and recommendation for future research

We have presented a methodology for estimating the value of plug-in electric vehicle public charging infrastructure based on the tangible benefits of enabling additional miles of travel by BEVs and the substitution of electricity for gasoline by PHEVs. The willingness-to-pay (WTP) functions derived here from detailed simulation modeling and econometric estimates of the value of enabled miles of vehicle travel could be incorporated into utility functions of vehicle choice models and used to help

Acknowledgements

This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. The California Energy Commission (CEC)’s Alternative and Renewable Fuel and Vehicle Technology Program (ARFVTP) supported this work. The authors would like to acknowledge guidance and input provided by Energy Commission staff. Any opinion, error and omission are the sole responsibility of the

References (68)

  • C.D. Higgins et al.

    Size matters: how vehicle body type affects consumer preferences for electric vehicles

    Transport. Res. A

    (2017)
  • E. Kontou et al.

    Understanding the linkage between electric vehicle charging network coverage and charging opportunity using GPS travel data

    Transport. Res. C: Emerg. Technol.

    (2019)
  • R. Layard et al.

    The marginal utility of income

    J. Public Econ.

    (2008)
  • F. Liao et al.

    Consumer preferences for electric vehicles: a literature review

    Transp. Rev.

    (2017)
  • M. Muratori et al.

    Electricity rates for electric vehicle direct current fast charging in the United States

    Renew. Sustain. Energy Rev.

    (2019)
  • J. Neubauer et al.

    The impact of range anxiety and home, workplace and public charging infrastructure on simulated battery electric vehicle lifetime utility

    J. Power Sources

    (2014)
  • Y. Nie et al.

    A corridor-centric approach to planning electric vehicle charging infrastructure

    Transp. Res. Part B

    (2013)
  • S.B. Peterson et al.

    Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption

    Energy Policy

    (2013)
  • P. Plötz et al.

    On the distribution of individual daily driving distances

    Transp. Res. Part B

    (2017)
  • W. Sierzchula et al.

    The influence of financial incentives and other socio-economic factors on electric vehicle adoption

    Energy Policy

    (2014)
  • AFDC (Alternative Fuels Data Center), 2018a. Alternative Fueling Station Locator: Electric. U.S. Department of Energy,...
  • AFDC (Alternative Fuels Data Center), 2018b. Charging Equipment. U.S. Department of Energy, Energy Efficiency and...
  • AFDC (Alternative Fuels Data Center). 2018c. California Laws and Incentives. U.S. Department of Energy, Energy...
  • A. Bento et al.

    Vehicle lifetime trends and scrappage behavior in the US used car market

    Energy J.

    (2018)
  • Bradley, T.H., Davis, B.M., 2011. Alternative plug in hybrid electric vehicle utility factor. SAE Technical Paper...
  • California Air Resources Board (CARB), 2017. Zero Emission Vehicle (ZEV) Program, accessed at...
  • California Energy Commission (CEC), 2017. 2016 California Vehicle Survey, accessed at...
  • California Energy Commission (CEC), 2018a. California Plug-In Electric Vehicle Infrastructure Projections: 2017-2025....
  • California Energy Commission (CEC), 2018b. 2018-2019 Investment Plan Update for the Alternative and Renewable Fuel and...
  • Chehab, N., 2017. Pump up the Charge with Extreme Fast Charging. Office of Energy Efficiency and Renewable Energy, U.S....
  • California Household Travel Survey (CHTS), 2017. 2017 – California Add-On....
  • J. Dong et al.

    Stochastic modeling of battery electric vehicle driver behavior

    Transport. Res. Rec.: J. Transport. Res. Board

    (2014)
  • Department of Transportation (DOT). 2016. Revised Departmental Guidance on Valuation of Travel Time in Economic...
  • Energy Information Administration. 2018a. Weekly Retail Gasoline and Diesel Prices. Area: California....
  • Cited by (81)

    • Driving the electric vehicle agenda in Nigeria: The challenges, prospects and opportunities

      2024, Transportation Research Part D: Transport and Environment
    View all citing articles on Scopus
    View full text