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

doi:10.1007/978-3-030-38028-1_9

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

Chair of Transportation Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

30 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 language	English
Title of host publication	Lecture Notes in Mobility
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	117-134
Number of pages	18
DOIs	https://doi.org/10.1007/978-3-030-38028-1_9
State	Published - 2020

Publication series

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

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

Access to Document

10.1007/978-3-030-38028-1_9

Cite this

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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{\textquoteright} new options in their daily travel behavior, fostering seamless inter- and multi-modal mobility. Considering the factors relevant for gaining users{\textquoteright} 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{\textquoteright} needs.",

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AU - Straubinger, Anna

AU - Kluge, Ulrike

AU - Fu, Mengying

AU - Al Haddad, Christelle

AU - Ploetner, Kay Olaf

AU - Antoniou, Constantinos

PY - 2020

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KW - Mode choice

KW - Operational concepts

KW - Urban Air Mobility

KW - User acceptance

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M3 - Chapter

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PB - Springer Science and Business Media Deutschland GmbH

ER -

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

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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