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  1. f

    Data_Sheet_1_Built Environment Analysis for Road Traffic Crash Hotspots in...

    • frontiersin.figshare.com
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    Updated May 31, 2023
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    Daphne Wang; Elizabeth Krebs; Joao Ricardo Nickenig Vissoci; Luciano de Andrade; Stephen Rulisa; Catherine A. Staton (2023). Data_Sheet_1_Built Environment Analysis for Road Traffic Crash Hotspots in Kigali, Rwanda.PDF [Dataset]. http://doi.org/10.3389/frsc.2020.00017.s001
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Daphne Wang; Elizabeth Krebs; Joao Ricardo Nickenig Vissoci; Luciano de Andrade; Stephen Rulisa; Catherine A. Staton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Kigali, Rwanda
    Description

    Introduction: Road traffic injuries (RTIs) are a significant cause of morbidity and mortality in Rwanda. Investigations of the high risk areas for road traffic crashes (RTCs) are urgently needed to guide improvements in road safety. This study aims to identify RTC hotspots in Kigali, Rwanda, and to conduct a built environment analysis of these hotspots.Methods: RTC and RTC-prone locations were collected from the Kigali Traffic Police and high frequency road users, and hotspots were identified through kernel density estimation. Built environment characteristics (BEA), including road design, road safety, pedestrian safety, and traffic density, were collected for each hotspot. BEA characteristics were associated with risk of RTC using logistic regression and BEA scores were calculated using principal component analysis. Patterns of BEA were identified through exploratory cluster analysis and associated with risk for RTC using logistic regression.Results: 25 RTC hotspots were identified. High crash risk locations were less likely to have unpaved roads (21%, p = 0.049) and road narrowing (21%, p = 0.049). High crash risk locations were also more likely to have pedestrian walkways (100%, p = 0.009), factors aiding pedestrian crossing (100%, p = 0.026), and poor road surfaces (86%, p = 0.005). Cluster analysis showed that hotspots with fewer urban characteristics, including road safety features, motor vehicle density, and pedestrian safety features, have significantly decreased odds of being a high mortality risk hotspot than a hotspot with more urban characteristics (OR = 0.13, 95% CI 0.02–0.79).Conclusions: RTC hotspots were in the city center with high motor vehicle density but did have road and pedestrian safety features, suggesting that speeding is a major cause of RTCs. Effective traffic calming measures and enforcement of road safety laws may reduce the burden of road traffic injuries in Kigali but additional analyses are recommended.

  2. Data from: Built Environment Analysis For Road Traffic Crash Hotspots In...

    • hub.tumidata.org
    pdf, url
    Updated Jun 4, 2024
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    TUMI (2024). Built Environment Analysis For Road Traffic Crash Hotspots In Kigali, Rwanda [Dataset]. https://hub.tumidata.org/dataset/built_environment_analysis_for_road_traffic_crash_hotspots_in_kigali_rwanda_kigali
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    pdf(355407), urlAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Tumi Inc.http://www.tumi.com/
    Area covered
    Kigali, Rwanda
    Description

    Built Environment Analysis For Road Traffic Crash Hotspots In Kigali, Rwanda)
    This dataset falls under the category Traffic Generating Parameters.
    It contains the following data: Road traffic injuries (RTIs) are a significant cause of morbidity and mortality in Rwanda. Investigations of the high risk areas for road traffic crashes (RTCs) are urgently needed to guide improvements in road safety. This study aims to identify RTC hotspots in Kigali, Rwanda, and to conduct a built environment analysis of these hotspots.Methods: RTC and RTC-prone locations were collected from the Kigali Traffic Police and high frequency road users, and hotspots were identified through kernel density estimation. Built environment characteristics (BEA), including road design, road safety, pedestrian safety, and traffic density, were collected for each hotspot. BEA characteristics were associated with risk of RTC using logistic regression and BEA scores were calculated using principal component analysis. Patterns of BEA were identified through exploratory cluster analysis and associated with risk for RTC using logistic regression.Results: 25 RTC hotspots were identified. High crash risk locations were less likely to have unpaved roads (21%, p = 0.049) and road narrowing (21%, p = 0.049). High crash risk locations were also more likely to have pedestrian walkways (100%, p = 0.009), factors aiding pedestrian crossing (100%, p = 0.026), and poor road surfaces (86%, p = 0.005). Cluster analysis showed that hotspots with fewer urban characteristics, including road safety features, motor vehicle density, and pedestrian safety features, have significantly decreased odds of being a high mortality risk hotspot than a hotspot with more urban characteristics (OR = 0.13, 95% CI 0.02–0.79).Conclusions: RTC hotspots were in the city center with high motor vehicle density but did have road and pedestrian safety features, suggesting that speeding is a major cause of RTCs. Effective traffic calming measures and enforcement of road safety laws may reduce the burden of road traffic injuries in Kigali but additional analyses are recommended.. The data can be accessed using the following URL / API Endpoint: https://datasetsearch.research.google.com/search?query=kigali%20traffic&docid=L2cvMTFtYm5xcm5iMg%3D%3D
    This dataset was scouted on 02/06/2022 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing.

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Daphne Wang; Elizabeth Krebs; Joao Ricardo Nickenig Vissoci; Luciano de Andrade; Stephen Rulisa; Catherine A. Staton (2023). Data_Sheet_1_Built Environment Analysis for Road Traffic Crash Hotspots in Kigali, Rwanda.PDF [Dataset]. http://doi.org/10.3389/frsc.2020.00017.s001

Data_Sheet_1_Built Environment Analysis for Road Traffic Crash Hotspots in Kigali, Rwanda.PDF

Related Article
Explore at:
pdfAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
Frontiers
Authors
Daphne Wang; Elizabeth Krebs; Joao Ricardo Nickenig Vissoci; Luciano de Andrade; Stephen Rulisa; Catherine A. Staton
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Kigali, Rwanda
Description

Introduction: Road traffic injuries (RTIs) are a significant cause of morbidity and mortality in Rwanda. Investigations of the high risk areas for road traffic crashes (RTCs) are urgently needed to guide improvements in road safety. This study aims to identify RTC hotspots in Kigali, Rwanda, and to conduct a built environment analysis of these hotspots.Methods: RTC and RTC-prone locations were collected from the Kigali Traffic Police and high frequency road users, and hotspots were identified through kernel density estimation. Built environment characteristics (BEA), including road design, road safety, pedestrian safety, and traffic density, were collected for each hotspot. BEA characteristics were associated with risk of RTC using logistic regression and BEA scores were calculated using principal component analysis. Patterns of BEA were identified through exploratory cluster analysis and associated with risk for RTC using logistic regression.Results: 25 RTC hotspots were identified. High crash risk locations were less likely to have unpaved roads (21%, p = 0.049) and road narrowing (21%, p = 0.049). High crash risk locations were also more likely to have pedestrian walkways (100%, p = 0.009), factors aiding pedestrian crossing (100%, p = 0.026), and poor road surfaces (86%, p = 0.005). Cluster analysis showed that hotspots with fewer urban characteristics, including road safety features, motor vehicle density, and pedestrian safety features, have significantly decreased odds of being a high mortality risk hotspot than a hotspot with more urban characteristics (OR = 0.13, 95% CI 0.02–0.79).Conclusions: RTC hotspots were in the city center with high motor vehicle density but did have road and pedestrian safety features, suggesting that speeding is a major cause of RTCs. Effective traffic calming measures and enforcement of road safety laws may reduce the burden of road traffic injuries in Kigali but additional analyses are recommended.