Alshamsi, A.S. (2014) Predicting Car Insurance Policies Using Random Forest. 10th International Conference on Innovations in Information Technology, Al Ain, 9-11 November 2014, 128-132.
https://doi.org/10.1109/innovations.2014.6987575

has been cited by the following article:

• TITLE: Car Insurance Plans Could Make a Society Safer

  AUTHORS: Mohammad Zand, Amir Samimi, Khashayar Khavarian

  KEYWORDS: Premium Policies, Stated Preferences, Discrete Choice

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.4 No.12, December 1, 2016

  ABSTRACT: Insurance companies do not differentiate their customers based on their driving behavior in Iran that leads to reckless driving and thereby imposes significant costs to the society. We provided a model that can predict effects of different policies and discounts on market share of insurance companies. The usage of model has been tested in Tehran insurance market and the results provided showed that people would consider changing their insurance plans based on discounts and costs. Further, the first movers (i.e. the insurance companies that offer the discounts first) would absorb safer drivers and thereby stand in a superior financial position. This could significantly change the dynamics and the role of major players in the insurance market.