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Road Traffic Crashes 2012-2023
Derived from Crowdsourced Reports from Ma3Route

Kenya, 2012 - 2023
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Reference ID
KEN_2012-2023_RTC_v01_M
Producer(s)
Sveta Milusheva
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 23, 2024
Last modified
May 23, 2024
Page views
1365
Downloads
60
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    KEN_2012-2023_RTC_v01_M
    Title

    Road Traffic Crashes 2012-2023
    Subtitle

    Derived from Crowdsourced Reports from Ma3Route
    Country
    Name Country code
    Kenya KEN
    Abstract

    This project geolocated the location of road traffic crashes based on crowdsourced reports of crashes from Ma3Route, a mobile/web/SMS platform that crowdsources transport data
    Kind of Data

    Observation data/ratings [obs]
    Unit of Analysis

    Road traffic crashes

    Version

    Version Description

    The datasets contain the time and location of road traffic crashes in Kenya (primarily Nairobi); crash information is derived from crowdsourced reports from @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 from @Ma3Route were queried using the Twitter API (tweets were no longer queried once Twitter rebranded to X).
    Version Date

    2024-05-20

    Coverage

    Geographic Coverage

    Primarily Nairobi, Kenya

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Sveta Milusheva World Bank
    Funding Agency/Sponsor
    Name
    World Bank

    Sampling

    Sampling Procedure

    All tweets from @Ma3Route from August 2012 to July 2023

    Data collection

    Dates of Data Collection
    Start End Cycle
    2012-08-01 2023-07-12 1
    Mode of data collection
    • Internet [int]

    Data Access

    Access authority
    Name Affiliation Email
    Sveta Milusheva WBG smilusheva@worldbank.org
    Guadalupe Bedoya WBG gbedoya@worldbank.org
    Robert Marty WBG rmarty@worldbank.org
    Amy Dolinger WBG adolinger@worldbank.org
    Arianna Legovini WBG alegovini@worldbank.org
    Citation requirements

    Milusheva S, Marty R, Bedoya G, Williams S, Resor E, et al. (2021) “Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning.” PLOS ONE 16(2): e0244317. https://doi.org/10.1371/journal.pone.0244317

    Disclaimer and copyrights

    Disclaimer

    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.

    Contacts

    Contacts
    Name Affiliation Email
    Sveta Milusheva WBG smilusheva@worldbank.org
    Guadalupe Bedoya WBG gbedoya@worldbank.org
    Robert Marty WBG rmarty@worldbank.org
    Amy Dolinger WBG adolinger@worldbank.org
    Arianna Legovini WBG alegovini@worldbank.org

    Metadata production

    DDI Document ID

    DDI_KEN_2012-2023_RTC_v01_M
    Producers
    Name Affiliation Role
    Development Data Group World Bank Documentation of the DDI
    Date of Metadata Production

    2024-05-23
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