Research on Passenger Airport Choice Based on Actual Travel Data:the Case of Beijing-Tianjin-Hebei Airport Cluster
Passengers'airport choice behavior has an important impact on airport development.Because of market overlapping and network similarity inside an airport cluster,passengers'air travel choices are more extensive and the choice behavior is more complex.Taking the Beijing-Tianjin-Hebei airport cluster as an example,based on the actual travel data,this paper uses the double-layer Multi-nominal Logit(MNL)model to study the key factors affecting passengers'air travel airport choice in a multi-airport system and their specific effects.The actual travel data used is more realistic than the commonly used SP(Stated Preference Survey)data.The results show that air passengers are more sensitive to time cost factors,and the sensitivity of people in different regions to fares is different.Route types,flight frequency and airport punctuality all have important impact on passengers'choice.Based on the research results,the paper puts forward some suggestions on how to promote the collaborative and differential development of airport cluster.
multi-airport systemairport choicetravel big datathe double-layer Multi-nominal Logit(MNL)model
NETL
NSTL
万方数据
