Using Crowdflower to Study the Relationship between Self-Reported Violations and Traffic Accidents

De Winter, J. C. F., Kyriakidis, M., Dodou, D., & Happee, R. (2015). Using CrowdFlower to study the relationship between self-reported violations and traffic accidents. Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE). Las Vegas, NV.

8 Pages Posted: 11 Apr 2015 Last revised: 26 Oct 2015

Joost de Winter

Delft University of Technology

Miltos Kyriakidis

Delft University of Technology

Dimitra Dodou

Delft University of Technology

Riender Happee

Delft University of Technology

Date Written: July 17, 2015

Abstract

Crowdsourcing is a promising approach for Human Factors survey research. We explored the use of a relatively new crowdsourcing platform called CrowdFlower. Our survey focused on the relationship between self-reported traffic accidents and violations measured with the Driver Behaviour Questionnaire (DBQ). We obtained 1,862 responses within 20 hours at a cost of $247. The demographic correlates of DBQ violations were consistent with those of traditionally recruited samples. The correlation between DBQ violations and self-reported accidents was ρ = .28. Self-reported accidents at the national level (N = 18 countries) correlated strongly (ρ = .68/.79) with accident statistics published by the World Health Organization. Large international differences were observed, with horn honking being relatively common in India and Indonesia and speeding being common in some Western countries. We conclude that CrowdFlower is an efficient tool for conducting international surveys.

Keywords: Crowdsourcing, CrowdFlower, Driver Behaviour Questionnaire, traffic violations, traffic accidents

Suggested Citation

de Winter, Joost and Kyriakidis, Miltos and Dodou, Dimitra and Happee, Riender, Using Crowdflower to Study the Relationship between Self-Reported Violations and Traffic Accidents (July 17, 2015). De Winter, J. C. F., Kyriakidis, M., Dodou, D., & Happee, R. (2015). Using CrowdFlower to study the relationship between self-reported violations and traffic accidents. Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE). Las Vegas, NV.. Available at SSRN: https://ssrn.com/abstract=2592903 or http://dx.doi.org/10.2139/ssrn.2592903

Joost De Winter (Contact Author)

Delft University of Technology ( email )

Mekelweg 2
Delft, 2628 CD
Netherlands

Miltos Kyriakidis

Delft University of Technology ( email )

Mekelweg 2
Mekelweg 2
Delft, 2628 CN
Netherlands

Dimitra Dodou

Delft University of Technology ( email )

Mekelweg 2
Delft, 2628 CD
Netherlands

Riender Happee

Delft University of Technology ( email )

Stevinweg 1
Stevinweg 1
Delft, 2628 CN
Netherlands

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