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Mapping Heat Exposure of Pedestrian Density Around Metro Stations Using Artificial Intelligence: Ramses Square, Cairo, Egypt

Mapping Heat Exposure of Pedestrian Density Around Metro Stations Using Artificial Intelligence: Ramses Square, Cairo, Egypt

Shereen Wael, Abeer Elshater, Samy M. Z. Afifi
Copyright: © 2022 |Pages: 21
ISBN13: 9781668424629|ISBN10: 1668424622|ISBN13 Softcover: 9781668424636|EISBN13: 9781668424643
DOI: 10.4018/978-1-6684-2462-9.ch009
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MLA

Wael, Shereen, et al. "Mapping Heat Exposure of Pedestrian Density Around Metro Stations Using Artificial Intelligence: Ramses Square, Cairo, Egypt." Remapping Urban Heat Island Atlases in Regenerative Cities, edited by Hisham Abusaada, et al., IGI Global, 2022, pp. 187-207. https://doi.org/10.4018/978-1-6684-2462-9.ch009

APA

Wael, S., Elshater, A., & Afifi, S. M. (2022). Mapping Heat Exposure of Pedestrian Density Around Metro Stations Using Artificial Intelligence: Ramses Square, Cairo, Egypt. In H. Abusaada, A. Elshater, & M. Khalifa (Eds.), Remapping Urban Heat Island Atlases in Regenerative Cities (pp. 187-207). IGI Global. https://doi.org/10.4018/978-1-6684-2462-9.ch009

Chicago

Wael, Shereen, Abeer Elshater, and Samy M. Z. Afifi. "Mapping Heat Exposure of Pedestrian Density Around Metro Stations Using Artificial Intelligence: Ramses Square, Cairo, Egypt." In Remapping Urban Heat Island Atlases in Regenerative Cities, edited by Hisham Abusaada, Abeer Elshater, and Marwa Khalifa, 187-207. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-2462-9.ch009

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Abstract

Global research extensively discusses artificial intelligence (AI) and thermal comfort in urban studies. The current research design uses Goodvision Video Insights as an application of AI to analyse users' preferences for movement within three exits/entrances of the metro stations in Ramses Square, Cairo, Egypt. This study uses AI technology to track pedestrian movement based on heat exposure in metro station contexts. The primary findings identified the relationship between user experiences and urban composition. These results also revealed that the urban morphology of the metro station context impresses users' thermal comfort and movement preferences enough to track their needs through commutes. This study could not address all the aspects that influence users' experiences in the case study. Future studies provide light on the impact of varying temperature conditions on comfort levels and, as a result, human behaviour in station areas.

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