IAM-DeMo: approach for a passenger demand model for Innovative Air Mobility based on Discrete Choice Theory

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Abstract

This paper presents a passenger demand estimation model for Innovative Air Mobility (IAM) based on discrete choice theory. The demand model integrates mode choice with an analysis of the impacts that IAM could have on the population, expressed as trip production, trip distribution, and choice of residential location. The work analyses the mobility of distinct categories of users in different time slots for different trip purposes. We also analysed integration of the IAM as an access/egress mode for the main transport systems. Forecasts are made for the time horizons 2030 and 2050, which constitute the reference years for the model. The input data, sociodemographic projections and anticipated transport infrastructures are aligned with these future scenarios. The model is based on user characteristics, the mobility of tourists and residents, and the territorial, regional, and national scale. The model will enable decision support systems for public decision-makers or let companies and stakeholders in the sector to take more informed decisions.

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