This research aims to develop a model for the implementation of electric ground support equipment (E-GSE) in Indonesia. It employed the qualitative and quantitative method. Data were collected through interviews with airport stakeholders including ground handling, airline and airport experts. The data analysis used the Analytical Network Process (ANP) with Super Decisions software tools. The ANP is a mathematical theory that can be used to analyze the influence of approaches and assumptions used to solve related problems. The key stakeholders from the airlines, ground handling, and airport authority agreed that the critical criteria to implement electric ground support equipment (E-GSE) are emissions standards, pollution sources, limit value, employee exposure, and stationary measurements. The alternative solutions are regulation, company finance, and infrastructure. Those criteria and alternative solutions are in line with the Indonesian government’s regulation, supported by provision of the governor, concerning vehicle tax incentives for electric battery vehicles to support ground handling companies investment in electric ground support equipment (E-GSE) to reduce emissions in airports.
Regulation, electric vehicle, airport, ground operation
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