Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities
2. Characteristics of Drone Users and Factors for Drone Regulatory Compliance
2.1. Characteristics of Drone Users
2.2. Factors for Drone Regulation Compliance: A Literature Review
3. Research Data and Methods
4. City Drone Users: Findings on Demographics and Compliance with Drone Regulations
4.2. Drone User Compliance with Drone Regulations
5. Discussions and Implications for Data-Driven Drone Regulations
5.1. Demographic Characteristics of Drone Users for Data-Driven Smart City Policies
5.2. Factors for Regulatory Compliance for City Drone Users
Conflicts of Interest
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|Category||% of Drone Users in Cities (n = 370)||% of U.S. Adult Population|
|Education||High school or less||13.2%||13%|
|High school graduate or GED||31.6%||28%|
|Community college, associate’s degree||21.2%||21%|
|Four-year college degree/bachelor’s degree||15.9%||19%|
|Some postgraduate or professional schooling, no postgraduate degree||2.4%|
|Master’s, doctorate, medical or law degree||15.7%||11%|
|Income||$0−< $25 K||18.6%||18%|
|$25 K−< $50 K||21.9%||22%|
|$50 K−< $75 K||11.6%||19%|
|$75 k−< $100 K||14.1%||14%|
|$100 K−< $150 K||17.3%||15%|
|$150 K−< $200 K||8.4%||6%|
|Category||% of Drone Users from Metropolitan Areas (n = 265)||% of Drone Users from Small Cities (n = 105)|
|Education||High school or less||11.3%||18.1%|
|High school graduate or GED||29.1%||38.1%|
|Community college, associate’s degree||20.8%||21.9%|
|Four-year college degree/bachelor’s degree||18.1%||10.5%|
|Some postgraduate or professional schooling, no postgraduate degree||3.0%||0.9%|
|Master’s, doctorate, medical or law degree||17.7%||10.5%|
|Income||$0−< $25 K||15.5%||26.7%|
|$25 K−< $50 K||20.4%||25.7%|
|$50 K−< $75 K||10.9%||13.3%|
|$75 k−< $100 K||15.8%||9.5%|
|$100 K−< $150 K||18.5%||14.3%|
|$150 K−< $200 K||9.1%||6.7%|
|Concern about leak of personal data||−0.125|
|Concern about further regulation||−0.005|
|Civic duty to public safety||0.496 ***|
|Trust in government||0.402 ***|
|Federal government as a rule-setter||0.291|
|Existence of state regulation||−0.079|
|Knowledge about drone registration requirement||0.446 *|
|Participation in drone-related training||0.028|
|Drone use (commercial and recreational)||−0.514 *|
|Participation in drone-related club activities||−0.174|
|Number of observations in the model||337|
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Chen, Y.-C.; Huang, C. Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities. Smart Cities 2021, 4, 78-92. https://doi.org/10.3390/smartcities4010005
Chen Y-C, Huang C. Smart Data-Driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities. Smart Cities. 2021; 4(1):78-92. https://doi.org/10.3390/smartcities4010005Chicago/Turabian Style
Chen, Yu-Che, and 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. https://doi.org/10.3390/smartcities4010005