Guangzhou Baiyun Airports Operations Analyzed in Data Report

From a data analyst's perspective, this paper organizes and interprets key information about Guangzhou Baiyun International Airport (CAN/ZGGG), including airport codes, geographical coordinates, operational data, and the surrounding environment. The aim is to provide a reference for relevant practitioners. This includes analysis of key performance indicators and relevant environmental factors that impact airport operations. The data-driven insights are intended to support decision-making and improve understanding of the airport's performance and context.
Guangzhou Baiyun Airports Operations Analyzed in Data Report

When viewing global airports as an extensive data network, Guangzhou Baiyun International Airport (CAN/ZGGG) emerges as a pivotal node. This analysis examines the airport's key metrics from a data analyst's perspective, providing insights for aviation professionals.

Core Identification Data

The airport's fundamental identifiers include its IATA code CAN and ICAO code ZGGG, with geographic coordinates at 23°23'32.64"N latitude and 113°17'56.41"E longitude, situated at an elevation of 50 feet. These parameters serve as essential references for flight planning, airspace management, and infrastructure development.

Operational Capacity Metrics

Critical operational indicators such as runway specifications, apron capacity, and terminal throughput significantly influence the airport's flight handling capabilities. While specific measurements require consultation with official aviation authorities, these factors collectively determine the types of aircraft accommodated, maximum simultaneous operations, and cargo processing volumes. Detailed analysis of these metrics can identify infrastructure constraints and guide expansion strategies.

Environmental Considerations

The airport's operational efficiency is influenced by multiple environmental factors. Southern China's frequent thunderstorms necessitate robust meteorological monitoring systems and contingency protocols to minimize disruption. Ground transportation networks, including expressways and metro connections, substantially impact passenger accessibility and overall service quality.

Analytical methodologies must distinguish between substantive operational data and extraneous information to maintain data integrity. Professional aviation analysis focuses exclusively on verifiable metrics that directly impact airport functionality and network connectivity.