Analysis of airside operations at Singapore Changi Airport

Air travel demand has been on an upward trend in recent years, and airports have thus become increasingly congested. To alleviate airport congestion, building new infrastructure such as runways to improve capacity is an obvious solution but it is highly expensive and has a long lead time. In the short term, airport managers and operators have to learn to utilize current capacity more efficiently instead. This begins with the understanding of the current operations and then identifying areas for improvement to better utilize the available capacity. In this thesis, we present a data-driven approach to analyze airport surface operations. The methodology is presented using data from Singapore's Changi Airport, one of the busiest airports in the world and a major transportation hub for Southeast Asia. The current operations at the airport is characterized using multiple data sources to identify inefficiencies such as surface congestion and unsatisfactory runway occupancy times.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Civil and Environmental Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Neo, Kai Ling.

Advisor dc:contributor.advisor

• Hamsa Balakrishnan.

• Civil and Environmental Engineering.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/123235

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/123235