2020
DOI: 10.1016/j.uclim.2020.100706
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The role of urban morphology on outdoor thermal comfort: The case of Al-Sharq City – Az Zarqa

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Cited by 33 publications
(8 citation statements)
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“…As per the analysis, the average increase in RH in the daytime is 0.26% as compared to the average increase of RH of 2.64% in the nighttime. FSI vs PET(Figure11): The urban form has a noticeable impact on PET (Othman &Alshboul, 2020). From the analysis, it is seen that as the FSI increases from scenario SCN1 to SCN4, the comfort condition improves which is demonstrated by lower mean values of PET.…”
Section: Resultsmentioning
confidence: 94%
“…As per the analysis, the average increase in RH in the daytime is 0.26% as compared to the average increase of RH of 2.64% in the nighttime. FSI vs PET(Figure11): The urban form has a noticeable impact on PET (Othman &Alshboul, 2020). From the analysis, it is seen that as the FSI increases from scenario SCN1 to SCN4, the comfort condition improves which is demonstrated by lower mean values of PET.…”
Section: Resultsmentioning
confidence: 94%
“…BN5 (12 buildings) was the optimal level of building number in both winter and summer. Increasing the number of buildings helped to improve thermal comfort in both winter and summer, possibly because more buildings provided more shades in the summer [ 30 , 40 ] and effectively protected from cold winds in the winter. There was no significant regularity in BN at 09:00 in the winter, and this may be caused by ground warming and building shadow cooling.…”
Section: Resultsmentioning
confidence: 99%
“…In terms of model selection, ENVI-met [ 36 ] was used to model the Linpan and simulate the outdoor microclimate and thermal comfort. ENVI-met software is often used to simulate the influence of trees [ 26 , 27 ], water [ 37 ], surface materials [ 38 ], building layout [ 39 , 40 ], etc., and it has been verified by researchers from different countries in multiple climate regions around the world [ 41 ].…”
Section: Methodsmentioning
confidence: 99%
“…To follow an evidence-based design process more effectively in complex old city regeneration processes, it is often necessary for several different performance simulation software tools to work together in the process. More studies used Rhinoceros-Grasshopper as the system platform; Ladybug, Honeybee, Butterfly, and Energy plus as the tools to simulate an urban microclimate, building energy consumption, and outdoor thermal comfort; and an interrelationship between Galapagos, Octopus, and other plug-ins for the design of the initial optimization of the program to indicate the direction to achieve "numerical simulation-manual evaluation-manual optimization" [29][30][31][32][33]. Similar discussions were held regarding the optimization of traditional neighborhood regeneration programmed in the cities of Catania (Italy) [34], Laluz (Spain) [35,36], Cairo (Egypt) [37,38], etc.…”
Section: Microclimate Performative Simulation Methodsmentioning
confidence: 99%