Abstract

Indian reservations have been struggling with the highest rate of crashes that lead to fatal and incapacitating injuries across the United States for decades. The US government has been striving to improve roadway safety on Indian reservations to reduce such crashes. However, the rustic nature of the reservations, issues of jurisdictional coordination and collaboration, inadequate resources, and limited crash data make it challenging for the tribes to reduce the number of severe crashes. Determining factors associated with crashes is one of the most efficient and effective ways to select appropriate countermeasures for improving roadway safety and reducing crashes. Due to the unique nature of each of the reservations, factors contributing to crashes vary across the reservations as well as across the different roadways within the reservations. Only a few researches have investigated factors contributing to crashes on Indian reservations, and no studies have determined the factors separately for different roadways within the reservations. Therefore, this study was conducted to identify the contributory factors to fatal and injury crashes in the Fort Peck Indian Reservation (FPIR). The crash database covering a ten-year period from 2005 to 2014 was obtained from the Montana Department of Transportation (MDT). During this period, 940 crashes occurred on state, county, city, and tribally owned roads. Binary logistic regression models were developed to determine the factors associated with fatal and injury crashes for all roads within the FPIR and separately for the roads maintained by different agencies. The analysis identified unique contributory factors to fatal or injury crashes for different roadways, which justified separating crashes based on different road types. Impaired driving, adverse weather condition, collision with a ditch/embankment, pedestrian involvement, and overturn/rollover crashes were some of the factors that significantly contribute to increasing the risk associated with fatal and injury crashes. Impaired driving was found to be the most significant factor contributing to crash severity in all three roadways. Indian reservation roads were found to be possessing the highest risk of fatal and injury crashes due to impaired driving among the three roadway systems. The results of the study provide the Fort Peck Tribes with the opportunity to determine the countermeasures for safety improvements on their roadway systems efficiently.

Highlights

  • Lack of roadway safety on Indian reservations is one of the major concerns for the roadway systems in the United States

  • Impaired driving had a positive coefficient and estimated odds ratio of 6.23. This indicates that impaired driving increased the likelihood of fatal and injury crashes by 6.23 times compared with sober driving

  • The risk of fatal and injury crashes was increased by 2.54 times when crashes occurred on state highways compared with county roads. This significant association between roadway systems and crash severity inspired the development of three other models to determine the contributing factors of crash severity for each roadway system

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Summary

Introduction

Indian reservations roadways have been consistently experiencing higher crash rate over the past few decades than the other roadways across the United States [1]. According to National Highway Traffic Safety Administration (NHTSA), American Indians experienced the highest fatality rate per 100,000 populations [2]. Over the past several years there has been a steady decline in fatal crash rates across the United States, yet transportation related mortality rates continue to increase on tribal lands. The fatal crash rate for AI/AN occurring mostly in rural areas varies across the United States, and, in most reservations, the rate is higher than that of national average [5]. Among the seven Indian reservations in Montana, the FPIR is home to about two federally recognized tribes with numerous bands and division It is the ninth largest Indian reservation in the United States. Identifying factors associated with crashes is one of the costeffective and efficient ways to improve roadway safety and reduce crash rate

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