Sustaining an airport's health

Author: Katherine Lehmuller, June 2016

Hartsfield-Jackson Atlanta International Airport (ATL) in Atlanta, Georgia, USA, has been known as the world’s busiest passenger airport for the past 15 years, with more than 2,700 flights coming and going and serving more than 250,000 passengers daily. Preparing for future trends in transportation, the airport has recently added new facilities and boasts a complex consisting of seven concourses and five runways, with the longest at close to 12,000 feet (approximately 3,600 metres). The entire infrastructure encompasses more than 4,700 acres (1,900 hectares).

Air transport is constantly expanding, and budgets continue to tighten. New strategies call for more efficiency, and this in turn calls for faster, more streamlined work processes and tools. The best solution for substantially improving an airport’s efficiency is to properly manage and document the location and health of its infrastructure assets and utilities. Operation and maintenance costs of running an airport have major impacts on budget planning and help enable a positive revenue balance at the end of the year.

ATL has an enormous amount of complexities to manage, document and monitor; and managing these present a significant challenge to accomplish effectively. Like other airports of similiar size, ATL consists of many different utility systems such as storm water, sewer, aviation fuel, electricity, fuel pits, fat, oil and grease separation systems, and telecommunications. These, in turn, contain manholes, inlets and fuel hydrants. Any airfield pavement defects such as cracks, spalls or joint seal failures on runways and taxiways, also need to be detected and repairs planned well in advance.

这些系统中的每一个都需要持续的监视，因为法规越来越复杂和苛刻。如果未证明适当的依从性，则有明显的罚款。GIS工具可帮助机场工作人员在单个地图上可视化所有这些实用系统，并帮助更快，更有效地完成操作任务。资产管理还记录了机场灯，标志和标记的确切位置，并且必须确切知道机场资产管理确切需要哪种光，标志或标记需要服务。现代GIS系统可及时及时地识别并简化维护。

Explore next chapter:Finding another way for data collection

Story: Sustaining an airport's health
第1章：简介
Chapter 2:Finding another way for data collection
Chapter 3:搬到a new GIS for more efficiencies