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AuthorShaaban K.
AuthorMuley D.
AuthorElnashar D.
Available date2020-03-18T08:10:11Z
Publication Date2018
Publication NameInternational Journal of Urban Sciences
ResourceScopus
ISSN12265934
URIhttp://dx.doi.org/10.1080/12265934.2017.1403363
URIhttp://hdl.handle.net/10576/13367
AbstractThe city of Doha, Qatar experiences a hot and arid weather throughout the year. This study investigates the effect of season, type of day, and time of day on the walking behaviour of pedestrians in these conditions using logistic regression. The study uses data obtained from observational surveys conducted at a densely populated mixed-use neighbourhood located in the heart of the city. The results showed the walking activity is much less during hot weather. The results of the logistic regression analysis suggested that the pedestrians from other nationalities living in Qatar had much higher odds of walking compared to the Qatari nationals. Furthermore, men had almost double the odds of walking compared to females. The choice of the time of day model indicated that a pedestrian has more than twice the odds of walking in the evening time compared to the morning and afternoon times. The results can help policy makers and public agencies to develop programmes to promote the walking culture in this region. ? 2017, ? 2017 The Institute of Urban Sciences.
SponsorThis research was made possible by UREP Grant #15-085-3-020 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherRoutledge
Subjectlogistic regression
physical activity
Walkability
TitleEvaluating the effect of seasonal variations on walking behaviour in a hot weather country using logistic regression
TypeArticle
Pagination382 - 391
Issue Number3
Volume Number22
dc.accessType Abstract Only


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