Public acceptance of autonomous and remotely piloted drones in civil and military domains: Socioeconomic, political, and safety correlates
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F25%3A10505081" target="_blank" >RIV/00216208:11230/25:10505081 - isvavai.cz</a>
Výsledek na webu
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=oZQNIkawjJ" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=oZQNIkawjJ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24136/oc.3640" target="_blank" >10.24136/oc.3640</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Public acceptance of autonomous and remotely piloted drones in civil and military domains: Socioeconomic, political, and safety correlates
Popis výsledku v původním jazyce
Research background: Although drone acceptance research is extensive, key gaps remain in understanding how socio-demographic, educational, and attitudinal variables intersect to shape public perceptions. Existing studies frequently address drones' ethical and legal dimensions but seldom explore how gender, education, and political trust collectively inform acceptance, particularly in comparing civil versus military, remotely piloted versus autonomous technologies. Purpose of the article: This study investigates public perceptions of drone technology, societal safety, and trust in governance, with a special focus on how demographic and educational factors influence attitudes and behaviors. It aims to illuminate determinants of drone acceptance-including safety perceptions and endorsement of police-drone initiatives-and offer policy-relevant insights into integrating novel technologies responsibly. Methods: A quantitative survey of 1,250 Czech respondents (15+) employed quota sampling to capture diverse demographic and educational backgrounds. Participants completed a 50-item electronic questionnaire, yielding data on drone acceptance across varied contexts (e.g., infrastructure surveillance, military operations). Binary logistic regression and descriptive statistics were used to analyze associations between socio-demographic variables, perceived safety, and support for drone use in public order and traffic enforcement. Findings & value added: Results indicate that males more readily accept autonomous drone operations in critical infrastructure, while females exhibit higher uncertainty overall. Education strongly conditions opposition, with university-educated respondents more critical of lethal drone use but more trusting of democratic and expert-led governance frameworks. The regression analysis reveals that neither age nor active opposition to drones significantly reduces perceived safety. Rather, awareness of existing police-drone programs and agreement with their use significantly enhance individuals' sense of safety. These findings highlight the importance of transparent communication, targeted outreach for women and less educated groups, and dedicated support for mid-sized communities. In addition, by synthesizing recent business and logistics scholarship, the study demonstrates that drones' broader economic value is highly conditional: viable in hybrid delivery systems, infrastructure-sensitive in urban logistics, and legitimacy-dependent in marketing and construction sectors. This combined perspective advances both theoretical and policy debates, linking public acceptance with economic feasibility.
Název v anglickém jazyce
Public acceptance of autonomous and remotely piloted drones in civil and military domains: Socioeconomic, political, and safety correlates
Popis výsledku anglicky
Research background: Although drone acceptance research is extensive, key gaps remain in understanding how socio-demographic, educational, and attitudinal variables intersect to shape public perceptions. Existing studies frequently address drones' ethical and legal dimensions but seldom explore how gender, education, and political trust collectively inform acceptance, particularly in comparing civil versus military, remotely piloted versus autonomous technologies. Purpose of the article: This study investigates public perceptions of drone technology, societal safety, and trust in governance, with a special focus on how demographic and educational factors influence attitudes and behaviors. It aims to illuminate determinants of drone acceptance-including safety perceptions and endorsement of police-drone initiatives-and offer policy-relevant insights into integrating novel technologies responsibly. Methods: A quantitative survey of 1,250 Czech respondents (15+) employed quota sampling to capture diverse demographic and educational backgrounds. Participants completed a 50-item electronic questionnaire, yielding data on drone acceptance across varied contexts (e.g., infrastructure surveillance, military operations). Binary logistic regression and descriptive statistics were used to analyze associations between socio-demographic variables, perceived safety, and support for drone use in public order and traffic enforcement. Findings & value added: Results indicate that males more readily accept autonomous drone operations in critical infrastructure, while females exhibit higher uncertainty overall. Education strongly conditions opposition, with university-educated respondents more critical of lethal drone use but more trusting of democratic and expert-led governance frameworks. The regression analysis reveals that neither age nor active opposition to drones significantly reduces perceived safety. Rather, awareness of existing police-drone programs and agreement with their use significantly enhance individuals' sense of safety. These findings highlight the importance of transparent communication, targeted outreach for women and less educated groups, and dedicated support for mid-sized communities. In addition, by synthesizing recent business and logistics scholarship, the study demonstrates that drones' broader economic value is highly conditional: viable in hybrid delivery systems, infrastructure-sensitive in urban logistics, and legitimacy-dependent in marketing and construction sectors. This combined perspective advances both theoretical and policy debates, linking public acceptance with economic feasibility.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50601 - Political science
Návaznosti výsledku
Projekt
<a href="/cs/project/VK01030216" target="_blank" >VK01030216: Automatizovaný systém pro zvýšení stupně ochrany kritických infrastruktur s využitím kyberfyzikálních technologií</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Oeconomia Copernicana
ISSN
2083-1277
e-ISSN
2353-1827
Svazek periodika
16
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
58
Strana od-do
1295-1352
Kód UT WoS článku
001606296200009
EID výsledku v databázi Scopus
2-s2.0-105022929959