BACKGROUND
Airports utilize spatial data from a variety of internal and external sources. Many airports are embarking on digital transformation initiatives to improve business processes and support investment in infrastructure development, maintenance, and operations. The goals of these initiatives include increasing efficiencies, complying with Federal Aviation Administration (FAA) reporting requirements, improving safety, and developing preventative maintenance strategies to reduce the overall cost of ownership. For these goals to be realized, airports need strategies to ensure spatial data are current and accurate throughout the life cycle of both systems and infrastructure.
OBJECTIVE
The objective of this research is to produce a guide for developing spatial data maintenance strategies at US airports.
The guide must include the following:
- A minimum of five case studies of existing airports, with no more than two non-aviation examples of spatial data maintenance strategies, that includes challenges and lessons learned
- A workflow for implementing spatial data maintenance in an airport setting
- A discussion of emerging trends and innovative practices including a review of the latest technologies, e.g., cloud computing, Artificial Intelligence (AI), Internet of Things (IoT), digital twin, etc.
- Metrics and Key Performance Indicators (KPIs) for evaluating success and tracking progress, including the establishment of baselines and continuous life cycle reviews
- Recommended definitions for the most frequently used spatial data maintenance terms for the US airport industry
- MS PowerPoint presentation for executive communication and buy-in
Status: Research in progress
