Data from: Built Environment Analysis For Road Traffic Crash Hotspots In...
- hub.tumidata.org
pdf, urlUpdated Jun 4, 2024+ more versions
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EmailClick to copy linkLink copiedCiteTUMI (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_kigalipdf(355407), urlAvailable download formatsDataset updatedJun 4, 2024Area coveredRwanda, KigaliDescriptionBuilt 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.Data from: Traffic Compliance In Kigali City, Case: Giporoso And Rwandex
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- data.mendeley.com
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url, zipUpdated Jun 4, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteTUMI (2024). Traffic Compliance In Kigali City, Case: Giporoso And Rwandex [Dataset]. https://hub.tumidata.org/dataset/traffic_compliance_in_kigali_city_case_giporoso_and_rwandex_kigaliurl, zip(732731)Available download formatsDataset updatedJun 4, 2024Area coveredKigali City, Rwandex, KigaliDescriptionTraffic Compliance In Kigali City, Case: Giporoso And Rwandex)
This dataset falls under the category Traffic Generating Parameters.
It contains the following data: Data collected on two intersection in kigali city. The data can be accessed using the following URL / API Endpoint: https://data.mendeley.com/datasets/vv6hbmmp87/1
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.- I
India Passenger Traffic: International: From Rwanda: Kigali To Maharashtra:...
- ceicdata.com
Updated Dec 20, 2024ShareFacebookTwitterEmailClick to copy linkLink copiedCiteCEICdata.com (2024). India Passenger Traffic: International: From Rwanda: Kigali To Maharashtra: Mumbai [Dataset]. https://www.ceicdata.com/en/india/aviation-statistics-passenger-traffic-international-by-city-to-india/passenger-traffic-international-from-rwanda-kigali-to-maharashtra-mumbaiDataset updatedDec 20, 2024Dataset provided byCEICdata.comLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredMar 1, 2021 - Mar 1, 2024Area coveredIndiaDescriptionIndia Passenger Traffic: International: From Rwanda: Kigali To Maharashtra: Mumbai data was reported at 1,274.000 Person in Mar 2024. This records a decrease from the previous number of 2,354.000 Person for Dec 2023. India Passenger Traffic: International: From Rwanda: Kigali To Maharashtra: Mumbai data is updated quarterly, averaging 2,619.500 Person from Jun 2017 (Median) to Mar 2024, with 26 observations. The data reached an all-time high of 5,071.000 Person in Dec 2021 and a record low of 103.000 Person in Sep 2020. India Passenger Traffic: International: From Rwanda: Kigali To Maharashtra: Mumbai data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA038: Aviation Statistics: Passenger Traffic: International: by City: To India.
- I
India Freight Traffic: International: From Maharashtra: Mumbai To Rwanda:...
- ceicdata.com
Updated Aug 7, 2020+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteCEICdata.com (2020). India Freight Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali [Dataset]. https://www.ceicdata.com/en/india/aviation-statistics-freight-traffic-international-by-city-from-india/freight-traffic-international-from-maharashtra-mumbai-to-rwanda-kigaliDataset updatedAug 7, 2020Dataset provided byCEICdata.comLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredJun 1, 2023 - Mar 1, 2024Area coveredIndiaDescriptionIndia Freight Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data was reported at 29.802 Tonne in Mar 2024. This records a decrease from the previous number of 56.181 Tonne for Dec 2023. India Freight Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data is updated quarterly, averaging 42.961 Tonne from Jun 2023 (Median) to Mar 2024, with 4 observations. The data reached an all-time high of 56.181 Tonne in Dec 2023 and a record low of 29.802 Tonne in Mar 2024. India Freight Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA048: Aviation Statistics: Freight Traffic: International: by City: From India.
- I
India Passenger Traffic: International: From Maharashtra: Mumbai To Rwanda:...
- ceicdata.com
Updated Nov 15, 2024+ more versionsShareFacebookTwitterEmailClick to copy linkLink copiedCiteCEICdata.com (2024). India Passenger Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali [Dataset]. https://www.ceicdata.com/en/india/aviation-statistics-passenger-traffic-international-by-city-from-india/passenger-traffic-international-from-maharashtra-mumbai-to-rwanda-kigaliDataset updatedNov 15, 2024Dataset provided byCEICdata.comLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyTime period coveredMar 1, 2021 - Mar 1, 2024Area coveredIndiaDescriptionIndia Passenger Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data was reported at 2,065.000 Person in Mar 2024. This records an increase from the previous number of 1,856.000 Person for Dec 2023. India Passenger Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data is updated quarterly, averaging 2,776.500 Person from Jun 2017 (Median) to Mar 2024, with 26 observations. The data reached an all-time high of 5,738.000 Person in Jun 2019 and a record low of 79.000 Person in Sep 2020. India Passenger Traffic: International: From Maharashtra: Mumbai To Rwanda: Kigali data remains active status in CEIC and is reported by Directorate General of Civil Aviation. The data is categorized under India Premium Database’s Transportation, Post and Telecom Sector – Table IN.TA039: Aviation Statistics: Passenger Traffic: International: by City: From India.
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FacebookTwitterEmailData from: Built Environment Analysis For Road Traffic Crash Hotspots In Kigali, Rwanda
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.