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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
393
Downloads
70
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    KEN_2017-2018_MLCRM_v01_M
    Title

    Manually Labelled Crash Reports from Ma3Route 2017-2018
    Country
    Name Country code
    Kenya KEN
    Series Information

    An associated ''Tweet IDs From Ma3Route 2012-2020" dataset is available at: https://microdata.worldbank.org/index.php/catalog/3820
    Abstract

    The purpose of the Tweet IDs and Manually Labelled Crash Reports from Ma3Route 2017-2018 project is identify tweets from the @Ma3Route twitter handles that report road traffic crash reports. 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.
    Kind of Data

    Observation data/ratings [obs]
    Unit of Analysis

    Road traffic crash reports

    Version

    Version Description
    • v2.1: Edited, anonymous dataset for public distribution.

    Coverage

    Geographic Coverage

    Kenya (primarily Nairobi)
    Universe

    Tweets reporting road traffic crash reports, scraped from twitter handle @Ma3Route

    Producers and sponsors

    Primary investigators
    Name
    World Bank
    Producers
    Name Affiliation
    Sveta Milusheva Development Impact Evaluation Department, World Bank
    Robert Marty Development Impact Evaluation Department, World Bank
    Guadalupe Bedoya Development Impact Evaluation Department, World Bank
    Sarah Williams School of Architecture and Planning, Massachusetts Institute of Technology
    Elizabeth Resor School of Information, University of California, Berkeley
    Arianna Legovini Development Impact Evaluation Department, World Bank

    Data collection

    Dates of Data Collection
    Start End
    2017-07-01 2018-07-31
    Data Collection Notes

    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 and a "truth dataset", of tweets manually coded to determine if they reported crash reports and the location of the reported crashes, was generated. Additional information on the data is provided in additional documents found under the 'Documentation' tab.

    Data Access

    Confidentiality
    Is signing of a confidentiality declaration required? Confidentiality declaration text
    yes 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.
    Access conditions

    Licensed access
    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download

    Example,

    World Bank Group. Kenya - Manually Labelled Crash Reports from Ma3Route (MLCRM) 2017-2018. Ref. KEN_2017-2018_MLCRM_v01_M. Dataset downloaded from [url] on [date].

    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
    Robert Marty World Bank rmarty@worldbank.org

    Metadata production

    DDI Document ID

    DDI_KEN_2017-2018_MLCRM_v01_M_WB
    Producers
    Name Affiliation Role
    Development Economics Data Group World Bank Documentation of the study
    Date of Metadata Production

    2021-03-24

    Metadata version

    DDI Document version

    Version 01 (March 2021)
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