IDEAS home Printed from https://ideas.repec.org/a/epw/social/v4y2024i1id18496.html

Nature and Types of Motorcycle-Related Crimes in Nakuru East Sub-County, Nakuru County, Kenya

Author

Listed:
  • Obadiah K. Kiplagat

    (Egerton University, Kenya)

  • Kibet Ngetich

    (Egerton University, Kenya)

  • Samwel Auya

    (Egerton University, Kenya)

Abstract

Motorcycle is one of the most convenient modes of transport in Kenya. However, the motorcycle transport industry is faced with social, economic, and cultural challenges that have significantly increased crime levels in urban areas. The study sought to examine the nature and types of motorcycle-related crimes in Nakuru East Sub-county, Nakuru County, Kenya. The study was based on Routine Activities Theory and Crime Pattern Theory. The survey research design was used in the study. Primary data was collected using interview schedules and key informant interviews. Stratified sampling was used to select 310 motorcycle riders from four strata, which include Bondeni, Flamingo, Mwariki B, and Kivumbini. Then, simple random sampling was used to select respondents from these strata. The data collected were tallied and analyzed to produce frequency distribution, percentages, and mean. The study found the use of violence and weapon as a nature of motorcycle-related crime. The study established Robbery with violence, robbery, assault and general theft as a major type of motorcycle-related crime. The study recommends increased police patrols and the enactment of stringent motorcycle transport laws to help address motorcycle-related crimes.

Suggested Citation

  • Obadiah K. Kiplagat & Kibet Ngetich & Samwel Auya, 2024. "Nature and Types of Motorcycle-Related Crimes in Nakuru East Sub-County, Nakuru County, Kenya," European Journal of Humanities and Social Sciences, European Open Science, vol. 4(1), pages 24-33, January.
  • Handle: RePEc:epw:social:v:4:y:2024:i:1:id:18496
    DOI: 10.24018/ejsocial.2024.4.1.496
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejsocial/article/view/18496
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejsocial/article/download/18496/4650
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejsocial.2024.4.1.496?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:social:v:4:y:2024:i:1:id:18496. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejsocial .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.