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HOOGResearch & Advisory

Mobility & Automotive

Demand and Site Prioritisation for a Public EV Charging Network

Estimating charging demand by corridor and city cluster to prioritise where to deploy chargers first.

Example engagement
Client
EV charging infrastructure company
Industry
Mobility & Automotive
Geography
India (selected cities and highway corridors)
Duration
8 weeks
Capabilities
Market Intelligence, Market Entry & GTM

Research design at a glance

How the work is structured

India (selected cities and highway corridors) · 8 weeks

  1. 1

    Demand modelling

    EV registrations, traffic and fleet data by area.

  2. 2

    EV driver survey

    Charging behaviour and expectations.

  3. 3

    Fleet operator interviews

    Commercial charging needs.

  4. 4

    Site partner interviews

    Malls, hotels, fuel retailers and office parks.

Qualitative depth

Interviews, groups & observation

  • Fleet interviews~15
  • Site partner interviews~15

Quantitative scale

Surveys, audits & measurement

  • EV driver survey responses~600

Sample sizes are indicative of a typical design for this type of question; real engagements are scoped to the decision.

01

Client context

The company planned to deploy public chargers but had limited data on where utilisation would be strongest.

02

Business challenge

Early chargers in the market had low utilisation because of poor site choices.

03

Research objective & questions

Build a demand-based site prioritisation framework and validate it with users and site partners.

  • Where will charging demand concentrate over the next few years?
  • Which site types — highways, malls, offices, fleets — attract the most use?
  • What do EV drivers and fleets expect from public charging?
  • Which site partners are open to collaboration, and on what terms?

04

Methodology & approach

Demand modelling
EV registrations, traffic and fleet data by area.
EV driver survey
Charging behaviour and expectations.
Fleet operator interviews
Commercial charging needs.
Site partner interviews
Malls, hotels, fuel retailers and office parks.

05

Sample & geography

  • ~600 EV driver survey responses
  • ~15 fleet interviews
  • ~15 site partner interviews
  • Geography — India (selected cities and highway corridors)

06

Key findings

  • Fleet depots and commercial hubs offered more predictable utilisation than retail sites.
  • Highway drivers prioritised reliability and amenities over speed.
  • Site partners preferred revenue-share models.
  • Uptime and app experience were key frustrations with existing networks.

07

Business implications

  • Anchor early deployment on fleet and commercial hubs.
  • Select highway sites with amenities and reliable power.
  • Invest in uptime monitoring and app experience.

08

Outcome

The company received a site prioritisation model, partner terms framework and rollout sequence.

Example engagement — Shows how Hoog approaches this type of question. Not a specific client project. Findings are directional.

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