COST-BENEFIT ANALYSIS FOR ELECTRIC CHARGING INFRASTRUCTURE WITH GEOREFERENCING: A STUDY APPLIED TO GENERAL MOTORS IN THE STATE OF PERNAMBUCO

The transition to electric vehicles (EVs) is central to reducing carbon emissions. This article proposes a cost-benefit analysis, integrated with georeferencing, for the expansion of General Motors' (GM) electric charging infrastructure in Pernambuco. The methodology has four stages, market data collection, demography and public policies, georeferenced analysis with heat maps and clustering (DBSCAN), demand projection and scenario simulation with Python and @RISK and cost-benefit calculation. The results indicate that the EV fleet in Pernambuco will reach 1,100 vehicles by 2025, requiring investments between R$ 6.2 million and R$ 8.8 million in infrastructure and benefits such as a reduction of 2,200 tons of CO2/year and an increase in EV sales. The analysis is aligned with local public policies, IPVA exemption with the 'Green Corridor' program and ESG criteria. It is concluded that the investment is feasible, recommending public-private partnerships and integration of renewable energies.