scholarly journals Stated preference analysis of a new very light jet based on-demand air service

2008 ◽  
Vol 42 (4) ◽  
pp. 629-645 ◽  
Author(s):  
Srinivas Peeta ◽  
Alexander Paz ◽  
Dan DeLaurentis
Keyword(s):  
Stated Preference ◽  
Preference Analysis ◽  
On Demand ◽  
Light Jet

scholarly journals Risk perception and evacuation decisions of Florida tourists under hurricane threats: a stated preference analysis

2011 ◽  
Vol 59 (2) ◽  
pp. 871-890 ◽  
Author(s):  
Corene Matyas ◽  
Sivaramakrishnan Srinivasan ◽  
Ignatius Cahyanto ◽  
Brijesh Thapa ◽  
Lori Pennington-Gray ◽  
...  
Keyword(s):  
Risk Perception ◽  
Stated Preference ◽  
Preference Analysis

scholarly journals Equity and efficiency preferences of health policy makers in China—a stated preference analysis

2014 ◽  
Vol 30 (8) ◽  
pp. 1059-1066 ◽  
Author(s):  
Francesco Paolucci ◽  
Emmanouil Mentzakis ◽  
Thierry Defechereux ◽  
Louis W Niessen
Keyword(s):  
Health Policy ◽  
Stated Preference ◽  
Policy Makers ◽  
Preference Analysis ◽  
Equity And Efficiency

scholarly journals Public Preferences and Willingness to Pay for Shared Autonomous Vehicles Services in Nagoya, Japan

Smart Cities ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 230-244 ◽  
Author(s):  
Mingyang Hao ◽  
Yanyan Li ◽  
Toshiyuki Yamamoto
Keyword(s):  
Willingness To Pay ◽  
Autonomous Vehicles ◽  
Stated Preference ◽  
Autonomous Vehicle ◽  
Transportation Mode ◽  
Public Preferences ◽  
Socioeconomic Characteristics ◽  
On Demand ◽  
Vehicle Systems ◽  
The Relationship

Shared autonomous vehicle systems are anticipated to offer cleaner, safer, and cheaper mobility services when autonomous vehicles are finally implemented on the roads. The evaluation of people’s intentions regarding shared autonomous vehicle services appears to be critical prior to the promotion of this emerging mobility on demand approach. Based on a stated preference survey in Nagoya, Japan, the preference for shared autonomous vehicle services as well as willingness to pay for these services were examined among 1036 respondents in order to understand the relationship between people’s socioeconomic characteristics and their preferred shared autonomous vehicle services. For this purpose, k-modes clustering technique was selected and six clusters were obtained. Six groups with respect to different interests on shared autonomous vehicle services were clustered. The result of correlation analysis and discussion of willingness to pay on services provided insightful results for the future shared autonomous vehicle services. This study not only aids in revealing the demands of customer different clusters, but also states the prospective needs of users for stakeholders from research, policymaker and industry field, who are preparing to work on promoting shared autonomous vehicle systems, and subsequently, develops an optimum transportation mode by considering both demand and services as a whole.

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