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    Home / Central Data Catalog / KEN_2017-2018_MLCRM_V01_M
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Manually Labelled Crash Reports from Ma3Route 2017-2018

Kenya, 2017 - 2018
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Reference ID
KEN_2017-2018_MLCRM_v01_M
Producer(s)
World Bank
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
Page views
712
Downloads
140
  • Study Description
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  • twitter_truth

Data file: twitter_truth

Using the Twitter API, tweets were scrapped 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. This dataset includes a manually labelled dataset of a subset of tweets indicating which tweets report a crash and the location of crashes.

Cases: 9479
Variables: 9

Variables

uid
Unique ID
tweet_id
Tweet ID
created_at
Time Date/Time (EAT)
crash_report
Tweet reports crash
latitude
Latitude of crash
longitude
Longitude of crash
crash_id_c1
Crash ID (from coder 1)
crash_id_c2
Crash ID (from coder 2)
crash_landmark
Landmark used to geocode
Total: 9
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