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September 16, 2022

Changi Airport to increase fees and levies to fund development

The fees will support the operation and infrastructure overhaul of the airport's terminals, as well as future development plans.

Singapore’s Changi Airport Group (CAG) is set to raise its passenger service and security fee (PSSF) and aviation levy for origin-destination passengers from 1 November.

The increased tariff rates will be used to support the operation and existing infrastructure overhaul of terminals, as well as CAG’s future development strategies.

It will also fund air hub development and the regulatory functions of the Civil Aviation Authority of Singapore (CAAS), with an aim to position Singapore as a global air hub following the Covid-19 pandemic.

In order to cover higher operational expenses, the origin-destination PSSF will be revised to S$40.40 from 1 November, increasing to S$43.40 on 1 April next year and S$46.40 on 1 April 2024.

The planned increases on 2021 and 2022 rates were paused due to the pandemic’s impact, meaning the origin-destination PSSF since 1 April 2020 has stayed at S$35.40.

From 1 November this year, the landing, parking and aerobridge (LPA) charges for all flights operating at Changi Airport will be increased by 2%.

LPA fees will be raised by another 1% on 1 April next year and 1 April 2024.

The aviation levy for origin-destination passengers departing from Changi Airport will be increased from S$6.10 to S$8.00, but CAG said the levy will remain stable at S$8.00 for next year and 2024.

CAG said that the levy will apply to origin-destination passengers flying from Changi Airport, but travellers arriving at Changi Airport or transit passengers will be exempt from paying the levy.

Passengers whose tickets were issued before 1 November this year will not have to pay the increased charges.

Last month, CAG expanded its partnership with Accenture to enhance operations at the airport.

The new agreement will involve leveraging technologies such as the Internet of Things (IoT), extended reality, machine learning and edge computing.

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