EconPapers    
Economics at your fingertips  
 

Pedestrian and Bicycle Volume Data Collection Using Drone Technology

Dohyung Kim

Journal of Urban Technology, 2020, vol. 27, issue 2, 45-60

Abstract: Pedestrian and bicycle volume data is one of the most fundamental types of data for active transportation planning. However, they are not yet well developed. This paper explores an innovative method that uses drone technology to collect pedestrian and bicycle volume data. It confirms the feasibility of the technology as an alternative method to collect complex movements of pedestrians and bicycles. Furthermore, this paper presents a method that converts the video footage to a spatiotemporal dataset. The dataset includes not only the pedestrian and bicycle count data, but also their behavior and characteristics. The spatiotemporal data can become a valuable resource for a variety of active transportation planning practices and research, including the collection of pedestrian and bicycle volume data in parks and recreational areas, the study of collisions between pedestrians and bicycles, and the analysis of the social path. Since it is possible to envision that the development of technologies can overcome current technical difficulties, such as battery lifespan, it is worth considering the application of drone technology to active transportation planning practice and research.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1080/10630732.2020.1715158 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:cjutxx:v:27:y:2020:i:2:p:45-60

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/cjut20

DOI: 10.1080/10630732.2020.1715158

Access Statistics for this article

Journal of Urban Technology is currently edited by Richard E. Hanley

More articles in Journal of Urban Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:cjutxx:v:27:y:2020:i:2:p:45-60