Evaluating the effect of seasonal variations on walking behaviour in a hot weather country using logistic regression. Issue 3 (3rd July 2018)

• Record Type: Journal Article
• Authors: Shaaban, Khaled; Muley, Deepti; Elnashar, Dina
• Is Part Of: International journal of urban sciences. Volume 22:Issue 3(2018)
• Page Start: 382
• Page End: 391
• Publication Date: 2018-07-03
• Subjects: Walkability -- logistic regression -- physical activity; Cities and towns -- Pacific Area -- Periodicals; Cities and towns -- East Asia -- Periodicals; Urban ecology (Sociology) -- Pacific Area -- Periodicals; Urban ecology (Sociology) -- East Asia -- Periodicals; Cities and towns; Urban ecology (Sociology); Pacific Area; Electronic journals; Periodicals; 307.7609505
• DOI: 10.1080/12265934.2017.1403363
• Languages: English
• ISSNs: 2161-6779

Abstract

ABSTRACT: The 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.