Indoor air quality among Mumbai's resettled populations: Comparing Dharavi slum to nearby rehabilitation sites

Lueker, Justin; Bardhan, Ronita; Sarkar, Ahana; Norford, Leslie K.

doi:10.1016/j.buildenv.2019.106419

Cited by 49 publications

(25 citation statements)

References 31 publications

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“…Various studies on housing focus on access to public facilities such as public transportation, schools, police stations, healthcare facilities, markets and food stalls [26,27,30,34,37,39,44,[48][49][50]. According to Huang and Du [39], in their study in China, public facilities have a significant influence on residential satisfaction.…”

Section: Public Facilitiesmentioning

confidence: 99%

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

2020

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Affordable housing for the low-income population, who mostly live in slums, is an endemic challenge for cities in developing countries. As a remedy for the slum-free city, most of the major metropolis are resorting to slum rehabilitation housing. Rehabilitation connotes the improved quality of life that provides contentment, yet what entails residential satisfaction in such low-income situations remains a blind spot in literature. The study aims to examine the factors affecting residential satisfaction of slum rehabilitation housing in Mumbai, India. Here, the moderation effects of sociodemographic characteristics between residential satisfaction and its predictors are elaborated using a causal model. Data on residents' perception of the residential environment were collected from 981 households in three different slum rehabilitation housing areas spatially spread across Mumbai. The causal model indicated that residential satisfaction was significantly determined by internal conditions of dwelling resulting from design, community environment and access to facilities. Gender, age, mother tongue, presence of children, senior citizens in the family, and education moderate the relationship between residential satisfaction and its predictors. The need for design and planning with the user's perspective is highlighted to improve the quality of life.Sustainability 2020, 12, 2344 2 of 22 entails residential satisfaction in such low-income situations remains a blind spot in literature. There is a need to find ways to improve the housing conditions that take into consideration the satisfaction and well-being of the residents [7].When moving from slums to newly built high-rise apartment buildings (slum rehabilitation housing), the residents' physical living conditions were certainly improved. Little is known regarding their social and economic changes. Would the residents sustain in the slum rehabilitation housing in the coming years? This study aims to find out the residential satisfaction of the urban poor living in the slum rehabilitation housing in Mumbai (that is, how satisfied are the residents with the dwelling, building, and neighborhood overall), and its determinants. In doing so, the study explores the moderation effects of sociodemographic characteristics on the relationship between residential satisfaction and its proposed predictors. The goal is to derive recommendations for improving the existing slum rehabilitation housing under the slum rehabilitation program. The results can impact 900 million people including the 5.2 million Mumbai population who live in urban informal settlements or slums [8]. Additionally, the study contributes to developing approaches for sustainable urban renewal. According to Renigier-Biłozor et al.[9], a rating system shortens the time and brings objectivity in the decision-making process. So, understanding the factors affecting residential satisfaction is crucial for planning an effective and sustainable rehabilitation housing policy.The traditional mass housing design focuses on qu...

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Section: Public Facilitiesmentioning

confidence: 99%

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

2020

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“…The energy implications on keeping the windows and doors closed for almost 24 h is on poor thermal comfort and indoor air quality ranges (also reported in [75] ). The rooms become stuffy, and occupants must use additional fans or air conditioners to keep the room cooler at an added economic cost.…”

Section: Resultsmentioning

confidence: 97%

Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research

Debnath

Darby

Bardhan

et al. 2020

Energy Research & Social Science

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Text-based data sources like narratives and stories have become increasingly popular as critical insight generator in energy research and social science. However, their implications in policy application usually remain superficial and fail to fully exploit state-of-the-art resources which digital era holds for text analysis. This paper illustrates the potential of deep-narrative analysis in energy policy research using text analysis tools from the cutting-edge domain of computational social sciences, notably topic modelling. We argue that a nested application of topic modelling and grounded theory in narrative analysis promises advances in areas where manual-coding driven narrative analysis has traditionally struggled with directionality biases, scaling, systematisation and repeatability. The nested application of the topic model and the grounded theory goes beyond the frequentist approach of narrative analysis and introduces insight generation capabilities based on the probability distribution of words and topics in a text corpus. In this manner, our proposed methodology deconstructs the corpus and enables the analyst to answer research questions based on the foundational element of the text data structure. We verify theoretical compatibility through a meta-analysis of a state-of-the-art bibliographic database on energy policy, narratives and computational social science. Furthermore, we establish a proof-of-concept using a narrative-based case study on energy externalities in slum rehabilitation housing in Mumbai, India. We find that the nested application contributes to the literature gap on the need for multidisciplinary methodologies that can systematically include qualitative evidence into policymaking.

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“…This approach has a similar effect in the planning of slum rehabilitation programs, where the aim of the developers remains to maximise occupancy and to fill the housing deficit [47]. In the slum rehabilitation housing of Mumbai, India, the high-rise development policy has severe negative ramifications on the quality of life of occupants as they get restricted fresh air, daylight, open spaces, sanitation, and hygiene conditions [18,19]. It accentuates some of the injustices of built environment planning that has a spillover effect in energy use and appliance ownership in such low-income houses [14,20].…”

Section: Built Environment and Energy Justice: Intersection Of Sustaimentioning

confidence: 99%

“…Slum rehabilitation aims at improving the quality of life and eudemonic well-being of the urban poor by enabling slum dwellers to own a house [17]. However, low-quality slum rehabilitation can negatively impact energy sustainability and health, well-being, and socialization of the urban poor [14,18,19]. A recent study on slum rehabilitation housing in India shows that a low-quality built environment pushes occupants towards energy poverty by increasing their household energy bills [20].…”

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Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

et al. 2020

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The interaction of energy and buildings institutes a complex socio-technical system that influences the eudemonic well-being of the occupants. Understanding these drivers become even more necessary in impoverished areas where occupants struggle to avail essential energy services. The literature indicates that energy injustice can be addressed through provisioning of comfort, cleanliness, and convenience (3Cs) as critical cultural energy services in low-income areas. This study investigates the socio-architectural influence for slum rehabilitation housing (SRH) on cultural energy services that can promote distributive justice. The methodology adopts an empirical route using data from 200 household surveys from SRH in Mumbai, India, and João Pessoa, Brazil. A model between the 3Cs and socio-architectural elements was established using Firth's binary logistic regression. The survey results showed that the SRH in Brazil had twice the appliance ownership as compared to the Mumbai SRH. There were distinct energy service preferences in the study areas, despite common poverty burdens. The empirical results showed that the lack of socio-architectural design elements like open spaces, privacy, and walkability in the study areas demanded specific comfort and convenience appliances as a counter-response. A critical policy implication drawn was on the need for socio-architectural inclusive energy planning for distributive justice in poverty. Mitigating rising energy demand through appropriate built environment design of slum rehabilitation housing can contribute to fulfilling the UN's SDG 7 (clean and affordable energy) and 11 (sustainable cities and communities) goals.Sustainability 2020, 12, 3027 2 of 27 that determine the energy culture of a place [3]. Understanding energy culture can aid in designing "just" policies in a bottom-up targeted manner for equitable distribution of energy resources, especially for poverty alleviation [4,5].Energy cultures are derived from everyday energy practices, norms, and the material reality of the built environment that drives the need for specific energy services [6]. An energy culture translates everyday energy consumption into household welfare, which promotes energy justice. It is the responsibility of an energy-just system to increase welfare by improving individuals' capabilities for maximising utility [7]. Distributive energy justice entitles people to a basic set of minimum energy services that enhance their eudemonic well-being [8]. However, the current literature lacks evidence on the thresholds of a minimum of energy services as energy consumption at a household level is principally viewed as a physical quantity that is measured in a standardised unit (kilowatt-hour (kWh)) [9].Besides, at the individual level, energy is consumed in the form of "cultural energy services", which is driven by a complex socio-technical system of energy and built environment interaction [6,10,11]. This complex system is collectively referred to as human-scale energy services (HUSES) [12]. Anthropolo...

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Indoor air quality among Mumbai's resettled populations: Comparing Dharavi slum to nearby rehabilitation sites

Cited by 49 publications

References 31 publications

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

Factors Affecting Residential Satisfaction in Slum Rehabilitation Housing in Mumbai

Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research

Energy Justice in Slum Rehabilitation Housing: An Empirical Exploration of Built Environment Effects on Socio-Cultural Energy Demand

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