Forecasting of taxi times: The case of Barcelona-El Prat airport

Abstract

This study computes linear regression models to predict taxi in and out times at Barcelona-El Prat Airport using R software. Taxi time results are given for each stand as a function of the hour of the day. Also, it is analysed how many variables are influencing the time with their relevancy degree. The study has been carried out using airports daily operational data for the months of June, July and August 2013.

Peer Reviewed

Document type: Article

Original document

The different versions of the original document can be found in:

• http://hdl.handle.net/2117/91080 under the license https://creativecommons.org/licenses/by-nc-nd

• https://upcommons.upc.edu/bitstream/2117/91080/1/article_taxi_times.pdf under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es/

• https://api.elsevier.com/content/article/PII:S0969699716301570?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0969699716301570?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.jairtraman.2016.04.015 under the license cc-by-nc-nd

• https://www.sciencedirect.com/science/article/pii/S0969699716301570,

https://upcommons.upc.edu/handle/2117/91080,

https://ideas.repec.org/a/eee/jaitra/v56y2016ipbp118-122.html,

http://www.sciencedirect.com/science/article/pii/S0969699716301570,

https://trid.trb.org/view/1422316,

https://upcommons.upc.edu/bitstream/2117/91080/1/article_taxi_times.pdf,

https://core.ac.uk/display/46607338,

https://academic.microsoft.com/#/detail/2374154775 under the license https://www.elsevier.com/tdm/userlicense/1.0/