Research Article
Evaluation of Airport Environmental Carrying Capacity: A Case Study in Guangzhou Baiyun International Airport, China
Table 1
The indicator system of AECC.
| System | Subsystem | Indicators | Select meaning | Attributes |
| A E C C | D | y1 | The population density (person/km2) | Driving force of the population density to AECC development | Negative | y2 | Per capita GDP (yuan) | Represent the individual’s use of airport resources | Positive | P | y3 | Annual cargo and mail throughput (ton) | Pressure of cargo and mail transportation on AECC | Positive | y4 | Annual passenger throughput (person) | Pressure of passenger on AECC | Positive | y5 | Annual aircraft movements (sorties) | Pressure of air traffic flow on AECC | Positive | S | y6 | Sewage discharge (104 tons) | State of water resources | Negative | y7 | Annual CO emissions (g) | State of air quality | Negative | y8 | Annual NOx emissions (g) | State of air quality | Negative | y9 | Annual HC emissions (g) | State of air quality | Negative | y10 | Annual PM emissions (g) | State of air quality | Negative | y11 | Noise pollution area above 57 dB (km2) | State of noise | Negative | y12 | On-time flight clearance rate (%) | State of airport operation | Positive | R | y13 | Green coverage rate (%) | Response actions for reducing emissions | Positive | y14 | Passenger satisfaction (score) | Response actions for improving passenger service | Positive | y15 | Growth rate of on-time flight clearance rate (%) | Response actions for improving efficiency | Positive | y16 | Reduction rate of energy consumption per passenger (%) | Response actions for reducing energy consumption | Positive |
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