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Predictors of distractive activities to walking in Accra, Ghana

Urban, planning and transport research, 2023-12, Vol.11 (1) [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2023 ;2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2165-0020 ;EISSN: 2165-0020 ;DOI: 10.1080/21650020.2023.2220574

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  • Title:
    Predictors of distractive activities to walking in Accra, Ghana
  • Author: Sam, Enoch F. ; Odame, Prince Kwame ; Amoah-Nuamah, John
  • Subjects: Accra ; Cellular telephones ; central business district ; Crashes ; distractive activities to walking ; Ghana ; Pedestrians ; Regression models ; Traffic accidents ; Walking
  • Is Part Of: Urban, planning and transport research, 2023-12, Vol.11 (1)
  • Description: Walking is a fundamental mode of transport for many people globally, with immense health and environmental benefits. However, increased walking is associated with an increased risk of road traffic crashes and injuries, especially where traffic enforcement is poor, and pedestrians could easily be distracted. Despite this, a plethora of evidence exists on driver distraction; however, there is a dread of evidence of pedestrian distraction (i.e. distracted walking), particularly in Africa. This paper uses a quantitative methodology to examine the predictors of distractive activities to walking in Accra, Ghana. The study surveyed 400 pedestrians within Accra's Central Business District (CBD). A questionnaire was deployed via Kobo Toolkit and Jamovi was used in analysing the data. The study observed that three of the top four distractive activities to walking were digital devices-related (e.g. the use of mobile phones). We found that listening to music, making, receiving phone calls, and conversing with other people while walking are the main distractive activities. The binary logistic regression model found sex, age, level of education, occupation, reasons for walking, weekly time for walking and time for common trips as significant predictors of distractive activities to walking.
  • Publisher: Macclesfield: Routledge
  • Language: English
  • Identifier: ISSN: 2165-0020
    EISSN: 2165-0020
    DOI: 10.1080/21650020.2023.2220574
  • Source: Coronavirus Research Database
    Taylor & Francis (Open access)
    ProQuest Central
    DOAJ Directory of Open Access Journals
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