Predictors of distractive activities to walking in Accra, Ghana
ABSTRACTWalking 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 easil...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Urban, Planning and Transport Research |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21650020.2023.2220574 |
| _version_ | 1797435194342375424 |
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| author | Enoch F. Sam Prince Kwame Odame John Amoah-Nuamah |
| author_facet | Enoch F. Sam Prince Kwame Odame John Amoah-Nuamah |
| author_sort | Enoch F. Sam |
| collection | DOAJ |
| description | ABSTRACTWalking 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. |
| first_indexed | 2024-03-09T10:44:41Z |
| format | Article |
| id | doaj.art-9a80c1a33a764d7b8ed385037cb35226 |
| institution | Directory Open Access Journal |
| issn | 2165-0020 |
| language | English |
| last_indexed | 2024-03-09T10:44:41Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Urban, Planning and Transport Research |
| spelling | doaj.art-9a80c1a33a764d7b8ed385037cb352262023-12-01T11:07:32ZengTaylor & Francis GroupUrban, Planning and Transport Research2165-00202023-12-0111110.1080/21650020.2023.2220574Predictors of distractive activities to walking in Accra, GhanaEnoch F. Sam0Prince Kwame Odame1John Amoah-Nuamah2Department of Geography Education, University of Education Winneba, Winneba, GhanaDepartment of Geography Education, University of Education Winneba, Winneba, GhanaDepartment of Geography Education, University of Education Winneba, Winneba, GhanaABSTRACTWalking 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.https://www.tandfonline.com/doi/10.1080/21650020.2023.2220574Pedestriansdistractive activities to walkingcentral business districtAccraGhana |
| spellingShingle | Enoch F. Sam Prince Kwame Odame John Amoah-Nuamah Predictors of distractive activities to walking in Accra, Ghana Urban, Planning and Transport Research Pedestrians distractive activities to walking central business district Accra Ghana |
| title | Predictors of distractive activities to walking in Accra, Ghana |
| title_full | Predictors of distractive activities to walking in Accra, Ghana |
| title_fullStr | Predictors of distractive activities to walking in Accra, Ghana |
| title_full_unstemmed | Predictors of distractive activities to walking in Accra, Ghana |
| title_short | Predictors of distractive activities to walking in Accra, Ghana |
| title_sort | predictors of distractive activities to walking in accra ghana |
| topic | Pedestrians distractive activities to walking central business district Accra Ghana |
| url | https://www.tandfonline.com/doi/10.1080/21650020.2023.2220574 |
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