An exploratory empirical analysis of willingness to hire and pay for flying taxis and shared flying car services

被引:50
作者
Ahmed, Sheikh Shahriar [1 ]
Fountas, Grigorios [2 ]
Eker, Ugur [4 ]
Still, Stephen E. [3 ]
Anastasopoulos, Panagiotis Ch [3 ]
机构
[1] Univ Buffalo State Univ New York, Dept Civil Struct & Environm Engn, Buffalo, NY USA
[2] Edinburgh Napier Univ, Sch Engn & Built Environm, Transport Res Inst, Edinburgh, Midlothian, Scotland
[3] Univ Buffalo State Univ New York, Stephen Still Inst Sustainable Transportat & Logi, Dept Civil Struct & Environm Engn, Buffalo, NY USA
[4] Turkish Airlines, Istanbul, Turkey
关键词
Advanced Air Mobility; Urban Air Mobility; Flying taxis; Shared flying cars; Willingness to hire; Willingness to pay; Correlated grouped random parameters; Bivariate probit model; ACCIDENT-INJURY-SEVERITIES; ELECTRIC VEHICLES; PROBIT ANALYSIS; TO-PAY; AIRPORT; HETEROGENEITY; ACCEPTANCE; MODELS; IMPACT; HAZARD;
D O I
10.1016/j.jairtraman.2020.101963
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
A new transportation mode that can simultaneously operate on land and in the air, namely the flying cars, is anticipated to penetrate the automobile fleet between 2020 and 2025. Due to their flexible mobility patterns and automated operational characteristics, flying taxi and shared flying car services are expected to expand the existing shared mobility services (such as Uber, Lyft, and similar services) of the urban transportation network. Despite their forthcoming introduction in the shared mobility market, public perceptions and expectations about these services have not been investigated in travel demand literature. This study aims to provide an exploratory analysis of public willingness to hire and pay for flying taxis and shared flying car services, and to identify the determinants of the willingness to hire and pay for such services. Using data collected from an online survey, individuals' willingness to hire and to pay for flying taxi and shared flying car services are statistically modeled within a correlated grouped random parameters bivariate probit framework. The analysis shows that various socio-demographic characteristics and individuals' opinions towards the perceived benefits and challenges of flying cars affect public willingness to hire and pay for flying taxi and shared flying car services. Even though the awareness about the operation of flying taxis and shared flying car services is possibly limited in the public sphere, the findings of this study can provide insights into the challenges that policymakers, manufacturing companies, and shared mobility providers will face with the introduction of such flying car services in the transportation networks.
引用
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页数:14
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