2019
DOI: 10.1080/17512549.2019.1626764
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Optimal interior design for naturally ventilated low-income housing: a design-route for environmental quality and cooling energy saving

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Cited by 25 publications
(9 citation statements)
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“…We can classify the housing environment into two categories-dwelling internal (DI) and dwelling external (DE). As to the DI, the attributes include floor area, room layout, quality of construction, privacy, indoor environment [28,29]. Mohit and Mahfoud [30] found that elements of DI, especially floor area, correlate positively with residential satisfaction with public housing in Kuala Lumpur, Malaysia, where dwelling size was found to be an important predictor of residential satisfaction.…”
Section: Dwelling Characteristicsmentioning
confidence: 99%
“…We can classify the housing environment into two categories-dwelling internal (DI) and dwelling external (DE). As to the DI, the attributes include floor area, room layout, quality of construction, privacy, indoor environment [28,29]. Mohit and Mahfoud [30] found that elements of DI, especially floor area, correlate positively with residential satisfaction with public housing in Kuala Lumpur, Malaysia, where dwelling size was found to be an important predictor of residential satisfaction.…”
Section: Dwelling Characteristicsmentioning
confidence: 99%
“…A comparison of thermal comfort and indoor air quality between the slums and SRA houses has in many instances shown slums to perform better (Lueker et al 2020, Malik et al 2020, Sarkar & Bardhan 2020a, 2020b. A satisfaction survey in SRA shows that more than 70 per cent of tenements are satisfied with the slum rehabilitation housing (Kshetrimayum et al 2020).…”
Section: Constructionmentioning
confidence: 99%
“…The CFD models are computational models to simulate built-environment scenarios under various environmental conditions which are not possible to acquire through field experiments (Sarkar and Bardhan 2019) The detailed design and method of the study are given below:…”
Section: Computational Fluid Dynamicsmentioning
confidence: 99%