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EV Charging Infrastructure

Seizing the opportunity for public charging infrastructure

Electric vehicle adoption and increasing EV sales are starting to outgrow available public charging infrastructure, with charging deserts creating a growing challenge for ambitious electrification targets. But how many charging points are really needed and where? And how to capitalize on infrastructure deployment or prioritize incentive spend?

Estimating the future public charging infrastructure needs, requires insight into various aspects of electrification. S&P Global Mobility is uniquely positioned to bring together energy, automotive, consumer and technology data and forecasts to help you make well-informed decisions.

Advanced geospatial techniques and consumer mobility data allow us to predict EV adoption and charging patterns at a very granular level of geography, enabling location optimization and utilization modeling:
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The EV Charging Infrastructure Model

Micro-Level Electric Vehicle Forecasts

Volume forecasts from national, state, and down to the micro-market level

  • What is the expected future number of Electric Vehicles on the road?
  • Where is the next wave of EV adoption going to be?
Incorporating key market factors:
  • Manufacturer model policy
  • Production capacities
  • Economic framework
  • Regulatory and incentives

Future Infrastructure Requirements

Public charging infrastructure requirement forecast, market prioritization, and gap analysis

  • Do charging deserts exist? 
  • What is the future regional charging demand?
Understanding consumer needs:
  • Demographic area profiles
  • Vehicle Miles Traveled 
  • Local regulatory 

Charging Station Location Planning

Public charging station location optimization and utilization model

  • Where is public charging most convenient for consumers? 
  • What are the future charging potential and expected utilization for a particular station?
Predicting consumer behavior:
  • Parking heat maps
  • Geographical travel pattern
  • Points of interest
  • Station utilization model
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