Journal
JOURNAL OF PLANNING EDUCATION AND RESEARCH
Volume 42, Issue 2, Pages 206-217Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/0739456X18805154
Keywords
direct observation; pedestrian counting; pedestrian monitoring; unmanned aircraft systems; UAS
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Funding
- Utah Agricultural Experiment Station, Utah State University
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This study establishes and tests a new method of pedestrian observation using unmanned aerial vehicles (UAVs). The results show that UAV observations demonstrate high levels of interrater reliability and equivalence reliability. Practical implications of the new tool are discussed.
The monitoring of pedestrian activity is challenging, primarily because its traffic levels are typically lower and more variable than those of motorized vehicles. Compared with other on-the-ground observation tools, unmanned aerial vehicles (UAVs) could be suitable for counting and mapping pedestrians in a reliable and efficient way. Thus, this study establishes and tests a new method of pedestrian observation using UAVs. The results show that UAV observations demonstrate high levels of interrater reliability (intraclass correlation coefficient = 0.99) and equivalence reliability (Cronbach's alpha = .97 with on-the-ground counts and .73 with Google Street View). Practical implications of the new tool are discussed.
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