Road Safety in Kenya P158664 -- DDI_KEN_2012-2020_TIDMA3_v01_M_WB Development Economics Data Group 2020-11-23 Nesstar Publisher Version 01 (March 2021) KEN_2012-2020_TIMA3_v01_M -- -- Tweet IDs From Ma3Route 2012-2020 TIDMA3 2012-2020 KEN_2012-2020_TIDMA3_v01_M World Bank Sveta Milusheva Robert Marty Guadalupe Bedoya Sarah Williams Elizabeth Resor Arianna Legovini Nesstar Publisher Robert Marty An associated dataset "Manually Labelled Crash Reports from Ma3Route 2017-2018" is available at https://microdata.worldbank.org/index.php/catalog/3868 -v01 The purpose of the dataset is identify tweets from the @Ma3Route twitter handles that report road traffic crash reports and to identify the location of the crashes. Using the Twitter API, tweets were scraped from Ma3Route, which is a mobile/web/SMS platform that crowdsources transport data and provides users with information on on road traffic crash reports as well as traffic, matatu directions, and driving reports. This dataset provides the tweet IDs of tweets from Ma3Route from May 2012 until July 2020. Kenya Kenya (primarily Nairobi) Road traffic crash reports Tweets from Ma3Route Observation data/ratings [obs] Other [oth] Using the Twitter API, tweets were scraped from the twitter handle @Ma3Route. Ma3Route is a mobile/web/SMS platform that crowdsources transport data and provides users with information on traffic, road traffic crash (RTC), matatu directions and driving reports. Users post RTC or traffic information to Ma3Route, where Ma3Route then publishes the post on Twitter. Tweets were obtained in order to identify tweets that reported RTC. Tweets from May 2012 to July 2020 were scraped. Additional information on the data is provided in additional documents found under the 'Documentation' tab. Users of the data agree to keep confidential all data contained in these datasets and to make no attempt to identify, trace or contact any individual whose data is included in these datasets. Microdata Library Licensed access The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. ma3route_tweetids_2012.NSDstat Tweet IDs 2012 4451 1 Nesstar 200801 ma3route_tweetids_2013.NSDstat Tweet IDs 2013 27548 1 Nesstar 200801 ma3route_tweetids_2014.NSDstat Tweet IDs 2014 125704 1 Nesstar 200801 ma3route_tweetids_2015.NSDstat Tweet IDs 2015 231224 1 Nesstar 200801 ma3route_tweetids_2016.NSDstat Tweet IDs 2016 153003 1 Nesstar 200801 ma3route_tweetids_2017.NSDstat Tweet IDs 2017 93331 1 Nesstar 200801 ma3route_tweetids_2018.NSDstat Tweet IDs 2018 81570 1 Nesstar 200801 ma3route_tweetids_2019.NSDstat Tweet IDs 2019 93741 1 Nesstar 200801 ma3route_tweetids_2020.NSDstat Tweet IDs 2020 43030 1 Nesstar 200801 tweet_id 4451 0 2.04076e+17 2.85874e+17 tweet_id 27548 0 2.85987e+17 4.18148e+17 tweet_id 125704 0 4.18238e+17 5.50436e+17 tweet_id 231224 0 5.50482e+17 6.82705e+17 tweet_id 153003 0 6.82794e+17 8.15346e+17 tweet_id 93331 0 8.15378e+17 9.47692e+17 tweet_id 81570 0 9.5889e+17 1.07989e+18 tweet_id 93741 0 1.07991e+18 1.21213e+18 tweet_id 43030 0 1.21217e+18 1.28528e+18