User Base Estimation Methodology for an eVTOL Business Airport Shuttle Air Taxi Service

Analysis of a Survey to Identify Factors to Accept Electric Airplanes

“…Market analyses and demand forecasts have been conducted in different regions with a focus on service within urban areas. (15)(16)(17)(18)(19)(20)(21). However, in relation to 19-seater regional HEAs specifically, most research has focused on technological development and aircraft design, and evaluating its potential demand has received much less attention.…”

“…To obtain an overview of the potential factors that might affect passenger acceptance of HEAs, we merged our own findings with the results of other systematic reviews ( 26 – 28 ) on passenger acceptance of conventional aviation, as well as in relation to new transport modes such as electric vehicles (EVs), autonomous vehicles (AVs), UAM/air taxis, and electric airplanes. We summarized the factors into five categories, including demographic factors, such as gender, age, education, employment, household income, household composition, and residential area ( 15, 21, 27–32 ); travel behavior factors, such as travel frequency, in-vehicle time, mode choice, trip purpose, typical travel time spent, and mobility impairments ( 15, 17, 27, 28, 31, 33 ); situational/technological factors, such as speed, cost, power generation/supply, emissions (production and operation), safety, comfort, noise, turbulence/bumpiness, energy consumption, operation range, infrastructure, schedule reliability, and multimodal connectivity ( 15, 21, 27–29, 31, 32, 34 ); attitudinal/psychological factors, such as personal innovativeness, environmental concern, perceived risks, social influence, trust, subjective norms (perceptions of others' behavior), moral norms, perceived usefulness, and perceived ease of use ( 15, 26–29, 31, 33, 35–37 ); and contextual factors, such as policy incentives, subsidies, and tax exemption ( 28 ). Two metareview papers ( 27 , 28 ) also concluded that the theory of planned behavior (TPB), the technology acceptance model (TAM), and the unified theory of acceptance and use of technology are the commonly applied theoretical models for studying the acceptance of AV and EV.…”

Applications and classifications of unmanned aerial vehicles: A literature review with focus on multi-rotors

“…Roy et al [46] proposed an approach for optimal flight scheduling, and their proposed framework is helpful in fleet-size determination to meet a given demand. They also presented a methodology for estimating the potential user base of eVTOL air taxis [47]. Rajendran and Shulman [48] conducted research based on discrete event simulation to determine the number of air taxis required to meet New York City's need for UAM.…”