Manually Labelled Crash Reports from Ma3Route 2017-2018

Kenya, 2017 - 2018

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Reference ID

KEN_2017-2018_MLCRM_v01_M

DOI

https://doi.org/10.48529/esr9-pn14

Producer(s)

World Bank

Collection(s)

Development Impact Evaluation (DIME)

Metadata

Documentation in PDF DDI/XML JSON

Created on

Mar 24, 2021

Last modified

Mar 24, 2021

Page views

2488

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.