Developing a Toolkit to Improve Transportation Safety on Indian Reservations

Nazneen, Sahima; Terrill, Trenna L.; Ksaibati, Khaled

doi:10.1177/0361198118791863

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…According to National Highway Traffic Safety Administration (NHTSA), American Indians experienced the highest fatality rate per 100,000 populations [2]. Besides poor road conditions, geographic isolations of roadways, perilous driving behaviors including reluctance to adhere to safety restraint use, speeding, and impaired driving are some of the factors that contribute to the elevated rate of fatalities on Indian reservations [3]. According to the National Tribal Transportation Safety Summit Report, impaired driving and the lack of seat belts/child safety seats usage are the highest concerns among the various safety issues on reservation roadways.…”

Section: Introductionmentioning

confidence: 99%

“…Numerous agencies and research projects have been working to address the causes and solutions to the high crash, injury, and death rates in these areas [6]. However, issues associated with data collection and analysis practices including nonuniform crash reporting systems across different jurisdictions, lack of resources and expertise, inadequate funding, and other factors hinder efforts to determine causative factors of crashes [3]. Without a good understanding of where, when, and why crashes are occurring, accountable authorities would continue to struggle to improve safety in these areas.…”

Section: Introductionmentioning

confidence: 99%

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Determining Causal Factors of Severe Crashes on the Fort Peck Indian Reservation, Montana

Nazneen

Rezapour

Ksaibati

2018

Journal of Advanced Transportation

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determining Causal Factors of Severe Crashes on the Fort Peck Indian Reservation, Montana

Nazneen

Rezapour

Ksaibati

2018

Journal of Advanced Transportation

Self Cite

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Application of Geographical Information System Techniques to Determine High Crash-Prone Areas in the Fort Peck Indian Reservation

Nazneen¹,

Rezapour²,

Ksaibati³

2020

TOTJ

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Background: Historically, Indian reservations have been struggling with higher crash rates than the rest of the United States. In an effort to improve roadway safety in these areas, different agencies are working to address this disparity. For any safety improvement program, identifying high risk crash locations is the first step to determine contributing factors of crashes and select corresponding countermeasures. Methods: This study proposes an approach to determine crash-prone areas using Geographic Information System (GIS) techniques through creating crash severity maps and Network Kernel Density Estimation (NetKDE). These two maps were assessed to determine the high-risk road segments having a high crash rate, and high injury severity. However, since the statistical significance of the hotspots cannot be evaluated in NetKDE, this study employed Getis-Ord Gi* (d) statistics to ascertain statistically significant crash hotspots. Finally, maps generated through these two methods were assessed to determine statistically significant high-risk road segments. Moreover, temporal analysis of the crash pattern was performed using spider graphs to explore the variance throughout the day. Results: Within the Fort Peck Indian Reservation, some parts of the US highway 13, BIA Route 1, and US highway 2 are among the many segments being identified as high-risk road segments in this analysis. Also, although some residential roads have PDO crashes, they have been detected as high priority areas due to high crash occurrence. The temporal analysis revealed that crash patterns were almost similar on the weekdays reaching the peak at traffic peak hours, but during the weekend, crashes mostly occurred at midnight. Conclusion: The study would provide tribes with the tool to identify locations demanding immediate safety concerns. This study can be used as a template for other tribes to perform spatial and temporal analysis of the crash patterns to identify high risk crash locations on their roadways.

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Developing a Toolkit to Improve Transportation Safety on Indian Reservations

Cited by 2 publications

References 4 publications

Determining Causal Factors of Severe Crashes on the Fort Peck Indian Reservation, Montana

Determining Causal Factors of Severe Crashes on the Fort Peck Indian Reservation, Montana

Application of Geographical Information System Techniques to Determine High Crash-Prone Areas in the Fort Peck Indian Reservation

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