KEN_2018_VCCR_v01_M -- DDI_KEN_2018_VCCR_v01_M_WB Development Economics Data Group 2020-11-20 Nesstar Publisher Version 01 (November 2020) KEN_2018_VCCR_v01_M -- -- Verification of Crowdsourced Crash Reports Survey 2018 VCCR 2018 KEN_2018_VCCR_v01_M World Bank Group Nesstar Publisher Robert Marty - v01 The purpose of the 2018 Verification of Crowdsourced Crash Reports survey is to physically verify road traffic crash (RTC) reports that were reported by bystanders in Nairobi, Kenya using Twitter/Ma3Route. Ma3Route is a mobile/web/SMS platform that crowdsources transport data and provides users with information on traffic, RTCs, matatu directions and driving reports. Users post RTC or traffic information to Ma3Route, where Ma3Route then publishes the post on Twitter. In this survey, we sought to verify the accuracy of crowdsourced information as a source of RTC data. Kenya Crowdsourced road traffic crash (RTC) reports were verified in Nairobi, Kenya Road traffic crash reports Road traffic crash reports in Nairobi, Kenya -- Sendy Ltd Other [oth] 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. 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. crash_verification.NSDstat 73 4 Nesstar 200801 Do you observe a crash at the specified location? Do you observe a crash at the specified location? If No, go to next question. 73 0 0 No 49 1 Yes 24 Why is there no crash? Why is there no crash? 49 24 1 Crash Cleared 42 2 Never a Crash 6 3 Cannot Reach 0 4 Crash Nearby 1 5 Other 0 Sysmiss 24 Date/time of tweet (East Africa time) Date/time of tweet (East Africa time) 73 0 1847793509000 1851412044000 1849372936041.1 Suggested landmark to travel to, provided by algorithm Suggested landmark to travel to, provided by algorithm 73 0 NO LANDMARK 9 airport junction 1 airtel 2 allsops 1 alsops 1 avic 1 bangladesh 1 belle vue 2 cabanas 1 capital centre 1 city cabanas 1 commercial 1 foot bridge 1 gari 1 gateway mall 4 general motors 1 gigiri 1 githurai 1 gm 1 gsu 1 hamza 1 hilton garden 1 hilton garden inn 1 imara daima 1 integrity centre 1 james gicuru 1 kangemi 1 kapa 2 karura forest 1 kibera 1 koja roundabout 1 langata 1 libra house 1 mathare hospital 1 mombasa cement 1 muthaiga square 1 muthangari 1 nairobi school 1 outering 2 panari hotel 1 panari sky 1 pangani 2 prison 1 roysambu 2 sabaki 1 sacco 2 safaricom 2 standard 1 stella 1 uchumi 1 uhuru 1 utalii 1 utawala 1 valley 1