In order to explore the determinants of air-rail integration service in China, this paper employed a comparative analysis based on historical data and stated preferences. According to the results of a partial least-squares regression model and a binary logit model, the numbers of destination cities and flights are the most important factor influencing the use of the ARIS at Shijiazhuang Zhengding International Airport. The impact of other factors is small. Consequently, policymakers have to find rational target markets to promote air-rail integration service at regional airports to attract passengers from overloaded hub airports. Although the impact of other determinants is rather small, considering the large number of passengers at hub airports, a small increase in the market share of air-rail integration service implies considerable increment in the number of air-rail integration service passengers.
- Air-rail integration service
- binary logit model
- comparative analysis
- partial least square regression model