Like other developed countries, Australia is experiencing considerable growth in air travel demand. This growth is putting tremendous pressure on airports to improve the capacity and level of service of access and egress modes. The main goal of this study was to develop a robust mode choice model for passengers’ access to airports, in the context of Brisbane, Australia. The novelty of this study includes (1) the use of recent techniques to combine passengers’ revealed and stated preferences for mode of access to airports and (2) the development of both traditional multinomial logit (MNL) as well as mixed logit (MXL) models using these data. The data were collected from 1,435 passengers through an online survey of both revealed and stated preferences, with the stated preferences pivoting on their most recent trip to Brisbane Airport. With these data, access mode choice models were estimated. MNL and MXL models were estimated that directly considered the effects of passenger mode choice inertia as well as novel passenger-specific characteristics. These factors had a large, statistically significant effect on the estimated models. The benefit of the MXL model was shown in the results, as the passengers’ value of time from the MXL model was A$105.15/h, which was strikingly lower than the MNL-estimated value of time. In addition, there were notably high direct elasticities for bus and shuttle with respect to travel time, and for car and taxi with respect to travel cost.

像其他发达国家一样，澳大利亚的航空旅行需求正在大幅增长。这种增长给机场带来巨大的压力，以提高进入和出口模式的容量和服务水平。这项研究的主要目标是在澳大利亚布里斯班的背景下，为乘客进入机场开发一个可靠的模式选择模型。这项研究的新颖性包括（1）使用最新技术结合乘客对机场出行方式的明示和陈述偏好，以及（2）传统多项式Lo​​git（MNL）和混合Logit（MXL）的发展使用这些数据的模型。这些数据是通过对显示的和陈述的偏爱进行在线调查从1,435名乘客那里收集的，陈述的偏爱集中于他们最近到布里斯班机场的旅行。利用这些数据，估计了访问模式选择模型。估计MNL和MXL模型直接考虑了乘客模式选择惯性以及新颖的特定于乘客的特征的影响。这些因素对估计的模型有很大的统计学显着影响。结果显示了MXL模型的好处，因为MXL模型的乘客时间价值为105.15澳元/小时，明显低于MNL估算的时间价值。另外，公共汽车和班车在行驶时间方面以及汽车和出租车在行驶费用方面具有很高的直接弹性。这些因素对估计的模型有很大的统计学显着影响。结果显示了MXL模型的好处，因为MXL模型的乘客时间价值为105.15澳元/小时，明显低于MNL估算的时间价值。另外，公共汽车和班车在旅行时间方面以及汽车和出租车在旅行费用方面具有很高的直接弹性。这些因素对估计的模型有很大的统计学显着影响。结果显示了MXL模型的好处，因为MXL模型的乘客时间价值为105.15澳元/小时，明显低于MNL估算的时间价值。另外，公共汽车和班车在旅行时间方面以及汽车和出租车在旅行费用方面具有很高的直接弹性。