Identifying Demand and Acceptance Drivers for User Friendly Urban Air Mobility Introduction

Anna Straubinger, Ulrike Kluge, Mengying Fu, Christelle Al Haddad, Kay Olaf Ploetner, Constantinos Antoniou

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

23 Scopus citations

Abstract

This research aims to develop an assessment framework to analyze the user friendliness of Urban Air Mobility (UAM), a future mode that enables autonomous inner-city, on-demand transport in passenger drones. The relevant demand and acceptance drivers are derived from a meta-analysis of urban mode choice factors and studies on UAM mode choice and acceptance specifically. By applying this framework, the potential of UAM is analyzed in terms of users’ new options in their daily travel behavior, fostering seamless inter- and multi-modal mobility. Considering the factors relevant for gaining users’ confidence, three different operational concepts [UAMaaS (UAM as a service), UAT (Urban Air Taxi) and UAM platinum] are assessed, showing that the concepts answer different user segments’ needs.

Original languageEnglish
Title of host publicationLecture Notes in Mobility
PublisherSpringer Science and Business Media Deutschland GmbH
Pages117-134
Number of pages18
DOIs
StatePublished - 2020

Publication series

NameLecture Notes in Mobility
ISSN (Print)2196-5544
ISSN (Electronic)2196-5552

Keywords

  • Assessment framework
  • Demand drivers
  • Mode choice
  • Operational concepts
  • Urban Air Mobility
  • User acceptance

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