Time-evolving distribution of time lags between commercial airline disasters
Marcel Ausloos and
R. Lambiotte
Physica A: Statistical Mechanics and its Applications, 2006, vol. 362, issue 2, 513-524
Abstract:
We have studied the time lags between commercial line airplane disasters and their occurrence frequency till 2002, as obtained from a freely available website. We show that the time lags seem to be well described by Poisson random events, where the average events rate is itself a function of time, i.e., time-dependent Poisson events. This is likely due to the unsteady growth of the industry. The time lag distribution is compared with a truncated Tsallis distribution, thereby showing that the “phenomenon” has similarities with a Brownian particle with time-dependent mass. We distinguish between “other causes” (or natural causes) and “terrorism acts”, the latter amounts to about 5%, but we find no drastic difference nor impact due to the latter on the overall distribution.
Keywords: Poisson distribution; Exponential distribution; Tsallis distribution; Airline flight crashes; Terrorism (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437105010319
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:eee:phsmap:v:362:y:2006:i:2:p:513-524
DOI: 10.1016/j.physa.2005.09.058
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().