IAM-DeMo: approach for a passenger demand model for Innovative Air Mobility based on Discrete Choice Theory | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article IAM-DeMo: approach for a passenger demand model for Innovative Air Mobility based on Discrete Choice Theory Valeria Cosenza, Veronica Villani, Lidia Travascio, Luigi Pariota, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8094842/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version 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. demand model discrete choice theory innovative air mobility air transport Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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