@article{ref1,
title="Highway accident data analysis: alternative econometric methods",
journal="Transportation research record",
year="1994",
author="McCarthy, Patrick S. and Madanat, Samer",
volume="1467",
number="",
pages="44-49",
abstract="The past decade has seen significant advances in econometric modeling including the analysis of disaggregate data, the structure of discrete response models, the treatment of simultaneity in linear models, the specification of models based on pooled time series-cross sectional data, and the estimation of models in truncated and censored samples. Furthermore, the data sets available in the field of highway safety include significant amounts of detailed information. However, to date, highway safety analyses using these data sets have not fully exploited state-of-the-art econometric methodologies. The applicability of recently developed econometric methods to the field of highway safety analysis is illustrated. It is anticipated that such applications will improve the accuracy of traffic accident models and lead to more effective policies and investment decisions in the area of highway safety.  Record URL:  http://onlinepubs.trb.org/Onlinepubs/trr/1994/1467/1467-007.pdf<p /><p>Language: en</p>",
language="en",
issn="0361-1981",
doi="",
url="http://dx.doi.org/"
}