Urban Air Mobility (UAM) is a recent concept proposed for solving the urban mobility problem, such as urban traffic pollution, congestion and noises. Before introducing UAM to the market, demand could be evaluated by understanding the potential users’ choice behaviour regarding current existing urban transportation modes and new autonomous transportation services, in a hypothetical UAM environment. This research intends to gain insight into the travel behaviour impacts of autonomous transportation modes and notably, UAM, by deriving measures for transportation service attributes and by identifying the characteristics of potential users who are likely to adopt the autonomous transportation services, particularly the services of UAM. For this purpose, a stated preference survey including a stated choice experiment was designed and conducted. A main mode choice multinomial logit (MNL) model and several sub-models based on the profiles of the respondents were developed, regarding four transportation alternatives, namely private car, public transportation (PT), autonomous taxi (AT) and autonomous flying taxi (AFT). The results indicate that travel time, travel cost and safety may be critical determinants of the adoption of the autonomous transportation modes. Moreover, the respondents having relatively higher value of time (VOT) may be willing to pay more for using autonomous transportation modes, especially the service of UAM. The results also suggest that younger-aged individuals and older-aged individuals with high income may be more likely to accept the service of UAM. In addition, the impact of trip purpose on the adoption of UAM was also revealed through the examination of the survey results and the model analysis.     «

Urban Air Mobility (UAM) is a recent concept proposed for solving the urban mobility problem, such as urban traffic pollution, congestion and noises. Before introducing UAM to the market, demand could be evaluated by understanding the potential users’ choice behaviour regarding current existing urban transportation modes and new autonomous transportation services, in a hypothetical UAM environment. This research intends to gain insight into the travel behaviour impacts of autonomous transportati...     »

Urban Air Mobility (UAM) is a recent concept proposed for solving the urban mobility problem, such as urban traffic pollution, congestion and noises. Before introducing UAM to the market, demand could be evaluated by understanding the potential users’ choice behaviour regarding current existing urban transportation modes and new autonomous transportation services, in a hypothetical UAM environment. This research intends to gain insight into the travel behaviour impacts of autonomous transportation modes and notably, UAM, by deriving measures for transportation service attributes and by identifying the characteristics of potential users who are likely to adopt the autonomous transportation services, particularly the services of UAM. For this purpose, a stated preference survey including a stated choice experiment was designed and conducted. A main mode choice multinomial logit (MNL) model and several sub-models based on the profiles of the respondents were developed, regarding four transportation alternatives, namely private car, public transportation (PT), autonomous taxi (AT) and autonomous flying taxi (AFT). The results indicate that travel time, travel cost and safety may be critical determinants of the adoption of the autonomous transportation modes. Moreover, the respondents having relatively higher value of time (VOT) may be willing to pay more for using autonomous transportation modes, especially the service of UAM. The results also suggest that younger-aged individuals and older-aged individuals with high income may be more likely to accept the service of UAM. In addition, the impact of trip purpose on the adoption of UAM was also revealed through the examination of the survey results and the model analysis.     «

Urban Air Mobility (UAM) is a recent concept proposed for solving the urban mobility problem, such as urban traffic pollution, congestion and noises. Before introducing UAM to the market, demand could be evaluated by understanding the potential users’ choice behaviour regarding current existing urban transportation modes and new autonomous transportation services, in a hypothetical UAM environment. This research intends to gain insight into the travel behaviour impacts of autonomous transportati...     »