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Chenyu Huang, Ph.D., is an Assistant Professor in the Aviation Institute at the University of Nebraska-Omaha. He holds a Bachelor of Electrical Engineering and received Masters of Air Transportation Planning and Management and of Aerospace and Aviation Management, and a Ph.D. in Aviation Technology from Purdue University. Dr. Huang is an FAA-certified Advanced Ground Instructor, holder of an FAA Private Pilot License and Remote Pilot Certificate with sUAV. His research areas include automated solutions to improve aviation safety, quantitative modeling of aviation operations, and Unmanned Aircraft System (UAS) operations.
To safely integrate the emerging Unmanned Aircraft Systems (UAS) technology into the national airspace system and a variety of application fields, the Federal Aviation Administration (FAA) is in charge of publishing rules to regulate and oversee UAS activities in the U.S. However, incompliance with rules undermines the effectiveness of such regulations. This study focuses on investigating the status of UAS regulatory compliance in the U.S. from the perspectives of UAS ownership registration and maximum flight altitude limitation, analyzing the socio-demographic factors of UAS users and their relationship with regulatory compliance. A U.S. national representative survey was performed for data collection. Descriptive statistics illustrate the overall status of UAS regulatory compliance and the demographic characteristics of the adult UAS users. Canonical correlation analysis was adopted to explore the pattern between variables of regulatory compliance and socio-demographic factors. Logistic regression was used to identify influencing socio-demographic factors for compliance behavior of UAS users on two specific rules. Results present 1) the demographic features of the adult UAS users in the U.S., 2) the overall status of UAS regulatory compliance in terms of ownership registration and maximum flight altitude limitation, and 3) the relationship between UAS regulatory compliance and influencing socio-demographic factors. Findings of this study provide aviation regulation authorities and UAS law enforcement important insights into UAS regulatory compliance to further develop more effective policies and strategies to safely and sustainably regulate UAS activities.
Chenyu Huang; Yu-Che Chen; Joseph Harris. Regulatory compliance and socio-demographic analyses of civil Unmanned Aircraft Systems users. Technology in Society 2021, 65, 101578 .
AMA StyleChenyu Huang, Yu-Che Chen, Joseph Harris. Regulatory compliance and socio-demographic analyses of civil Unmanned Aircraft Systems users. Technology in Society. 2021; 65 ():101578.
Chicago/Turabian StyleChenyu Huang; Yu-Che Chen; Joseph Harris. 2021. "Regulatory compliance and socio-demographic analyses of civil Unmanned Aircraft Systems users." Technology in Society 65, no. : 101578.
Realizing the benefits of drones while minimizing public concerns requires development and implementation of drone use policies that are grounded in an understanding of drone users and their behavior. This study aims to contribute to data-driven smart cities by filling our gap in knowledge about city drone users and their compliance behavior. The literature review has identified the main factors affecting drone policy compliance. This study collects data via a national survey of adults on drone behavior and focuses on city drone users. The results show that city drone users are younger with more dispersed educational backgrounds and income distribution than those in the general population. Moreover, civic duty, trust in government, and knowledge about regulatory requirements are motivators for drone users to comply with drone regulation.
Yu-Che Chen; Chenyu Huang. Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities. Smart Cities 2021, 4, 78 -92.
AMA StyleYu-Che Chen, Chenyu Huang. Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities. Smart Cities. 2021; 4 (1):78-92.
Chicago/Turabian StyleYu-Che Chen; Chenyu Huang. 2021. "Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities." Smart Cities 4, no. 1: 78-92.
Purpose: Aircraft accidents due to wildlife hazards have become a growing safety and economic problem to the Brazilian and international aviation industries. These safety occurrences have resulted in significant direct and indirect economic losses as well injuries and fatalities worldwide. The purpose of this study was to develop empirical information obtained from the analysis of wildlife strike and aircraft operations data in Brazil that could be used for accident prevention efforts.Design/methodology: The research team collected and analyzed aircraft operations as well as wildlife strike data from the 32 busiest commercial airports in Brazil, from 2011 through 2018. Researchers obtained the number of aircraft operations at each of those 32 Brazilian airports from the Brazilian air traffic operations annual reports published by the Air Traffic Control Department. Wildlife strike data from the studied airports were obtained from the Brazilian national wildlife strike database. Descriptive data analysis was adopted to provide an intuitive and overall trend of wildlife strikes at and the 32 busiest commercial airports in Brazil.Findings: Results indicate that the number of wildlife strikes at and around the investigated airports increased 70% even though the number of aircraft operations at these airports declined by 12% during the period studied. Birds were involved in 88% of the reported events. Most reported strikes (59%) and damaging strikes (39%) occurred during the arrival phases-of-flight. Most (33%) strikes were reported by airport personnel. A finding of concern was that the majority of wildlife strikes (97%) and damaging wildlife strikes (96%) occurred within the airport environment.Originality/value: The current project contributes to the safety management of wildlife hazards in Brazil by conducting a comprehensive analysis of wildlife strike and aircraft operations data (2011-2018) in the 32 busiest Brazilian commercial airports.
Flavio A.C. Mendonca; Julius Keller; Chenyu Huang. An analysis of wildlife strikes to aircraft in Brazil: 2011-2018. Journal of Airline and Airport Management 2020, 10, 51 -64.
AMA StyleFlavio A.C. Mendonca, Julius Keller, Chenyu Huang. An analysis of wildlife strikes to aircraft in Brazil: 2011-2018. Journal of Airline and Airport Management. 2020; 10 (2):51-64.
Chicago/Turabian StyleFlavio A.C. Mendonca; Julius Keller; Chenyu Huang. 2020. "An analysis of wildlife strikes to aircraft in Brazil: 2011-2018." Journal of Airline and Airport Management 10, no. 2: 51-64.