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Verification of Crowdsourced Crash Reports Survey 2018

Kenya, 2018
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Reference ID
KEN_2018_VCCR_v01_M
Producer(s)
World Bank Group
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Aug 28, 2024
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589
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  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

    • Identification

    Survey ID number

    KEN_2018_VCCR_v01_M
    Title

    Verification of Crowdsourced Crash Reports Survey 2018
    Country
    Name Country code
    Kenya KEN
    Abstract

    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.
    Kind of Data

    --
    Unit of Analysis

    Road traffic crash reports

    Version

    Version Description
    • v01

    Coverage

    Geographic Coverage

    Crowdsourced road traffic crash (RTC) reports were verified in Nairobi, Kenya
    Universe

    Road traffic crash reports in Nairobi, Kenya

    Producers and sponsors

    Primary investigators
    Name
    World Bank Group

    Data collection

    Dates of Data Collection
    Start End
    2018-07-21 2018-09-01
    Data Collectors
    Name
    Sendy Ltd
    Data Collection Notes

    The process by which data for the 2018 Verification of Crowdsourced Crash Reports Survey was collected is decribed below:

    1. An algorithm scraped tweets from @Ma3Route in real time and used a machine learning algorithm to detect RTC related tweets. When the algorithm detected a RTC tweet, the tweet was sent to a field coordinator for the project. The field coordinator for the project confirmed whether the tweet reported a crash with sufficient location information and, if so, made a request on the Sendy Ltd platform for a driver to go to the RTC location. Sendy Ltd is a Kenyan on-demand logistics startup that offers a marketplace for deliveries and logistics services using a mobile application that connects clients to motorcycle riders and vehicles.
    2. Sendy drivers that were a part of this survey (15 drivers) were alerted of the request. A Sendy driver could choose to accept the request, then would travel to the location.
    3. Once a Sendy driver arrived at the RTC location, they filled out a short survey verifying the RTC—if there was no RTC nearby, they were instructed to ask a passer-by if one occurred recently. Sendy drivers were instructed to not go near the crash, and to not interfere with any first responders.

    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 - Verification of Crowdsourced Crash Reports (VCCR) Survey 2018. Ref. KEN_2018_VCCR_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_2018_VCCR_v01_M_WB
    Producers
    Name Affiliation Role
    Development Economics Data Group World Bank Documentation of the study
    Date of Metadata Production

    2020-11-20

    Metadata version

    DDI Document version

    Version 01 (November 2020)
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