Planning, ‘Violations’, and Urban Inclusion: A Study of Bhubaneswar

Anand, Geetika; Deb, Anushree

doi:10.24943/iihsyuva.bhubaneshwar.2017

Cited by 15 publications

(15 citation statements)

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“…The city had a population of 0.84 million in 2011, with a decadal growth of 27.74 percent, which makes it one of the fastest-growing cities in India. The city has nearly 0.16 million residents (close to one-fth population) living in slums (Anand & Deb, 2017) The BTCD comprises multiple projects, mostly infrastructural such as street improvements through urban design interventions, parks, housing, slum redevelopment, and social infrastructure. A key part of the BTCD is the 'Shanti Nagar Awas Yojana' or locally called the Shantipally Slum Redevelopment Project, in which nearly 2232 dwellings are proposed in an area of 10 acres (with a proposed investment of nearly 150 crores involving a public-private partnership model where the state is facilitator).…”

Section: Methodsmentioning

confidence: 99%

Fantasy visions, Informal Urbanization, and Local conflict: Contradictions of Smart City imaginaries in India

Parida¹

2021

Preprint

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Smart city imaginaries have emerged in southern cities driven by neoliberal logics in the urban space. In the Indian context, much scholarly work in India has continued to engage with sweeping accounts of cities as opposed to detailed empirical studies. In this paper, I attempt to address this gap through an in-depth ethnographic inquiry of a slum redevelopment project(part of Smart city initiative) in the city of Bhubaneswar, India. I seek to understand ways in which smart city initiatives influence the everyday life of the marginalized urban slum dwellers. Drawing on participant observation; document analysis; and semi-structured interviews, I put forth three key findings from the study that advance the notion that Smart Cities initiatives in Indian cities actively marginalize the slum dwellers by attempting to dominate through inclusion. I borrow from Foucauldian concept of ‘counter-conducts’ and its reimagination in planning by Huxley (2017) to demonstrate that smart cities discourses are counter-intuitively resulting in emergent spaces of resistance in the form of counter-hegemonic practices, thus allowing spaces for evolution of discourse from unfamiliar territories. I conclude by discussing that city planning and governance pathways in India risk creating complicated path dependencies that can lead to state-citizen conflicts in the future.

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Section: Methodsmentioning

confidence: 99%

Fantasy visions, Informal Urbanization, and Local conflict: Contradictions of Smart City imaginaries in India

Parida¹

2021

Preprint

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“…This cross-sectional survey was conducted from February to August 2019 involving adults of both sexes aged 18 years and above. Bhubaneshwar has a population of 8,85,363 residing in 1,97,661 households spread over 67 administrative wards and about 18.5% of the population reside in the slums (28,29).…”

Section: Methodsmentioning

confidence: 99%

“…These scores are low compared to a work that reported 38.3% of the population to indulge in sufficient PA in India (29). Another international work that assessed PA from different countries found that only 9.3% men and 15.2% women are physically inactive(28) in India. However, another study conducted in an urban city in South India reported 49.7% prevalence of physical inactivity in a sample of 286…”

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confidence: 99%

Prevalence, Patterns and Predictors of physical activity in Urban Population of Bhubaneswar smart city, India

Mohanty

Sahoo

Epari

et al. 2020

Preprint

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Background: Insufficient physical activity is considered as one of the leading risk factors for global mortality and morbidity. WHO has recommended a cumulative engagement of minimum 150 minutes per week of moderate physical activity. Maintaining physical activity throughout life is considered an important public health objective. However, there is a global trend towards engaging in sedentary behaviours. There is no previous work on the physical activity pattern in Eastern India, nor any study to find predictors in terms of non-communicable disease causation. Objectives: To find out the prevalence and patterns of physical activity in urban population. To investigate the relationship of non-communicable disease with physical inactivity. Materials and methods: The study was community based cross-sectional survey and systematic random sampling method was used for arriving at a total sample of 1203 subjects from the 30 clusters selected out of 67 wards in the city. Socio-demographic and health profile were collected along with physical activity using IPAQ score, and stage of change for physical activity behaviour using Prochaska and DiClemente's model. IBM SPSS 20.0 was used for analysis. Logistic regression analyses were used to compute adjusted odds ratios for each variable. Causality of chronic disease due to physical inactivity was tested through inverse probability of treatment weighting (IPTW) using marginal structural model (MSM). Statistical significance were tested at p=0.05. Results: A total of 1221 subjects were included in the study, and a total 1125 cases were included for analysis after data cleaning. Mean age of the study participants was 35.25 (SD 10.72) years. 71.9% of the respondents were found physically inactive, 15.9% practised 'yogasana'. General caste, presence of chronic disease, being in a static stage of change and a yogassana practitioner were all factors influencing physical activity positively. Physically inactive individuals were also found to have 1.54 times higher odds of having chronic disease than those who are physically active. Conclusion: Prevalence of physical activity among the smart city was found to be low. Physical activity was found be a causative factor for chronic diseases among the population.

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“…Generally, slums emerge during the non-monsoon season when these lands are vacant and dry. Such patterns of settlement disrupt the natural watercourse and habitation in such locations is disrupted by water bodies or upstream water during monsoon (Anand & Deb, 2017). An overlap map of the waterlogged points with the slum location in Bhubaneswar (Figure 5) reflects that the low-lying slum areas are one of the drivers of urban flooding and, at the same time, are the worst victims of it.…”

Section: Encroachmentmentioning

confidence: 99%

Urban Flood Risk Assessment and Development of Urban Flood Resilient Spatial Plan for Bhubaneswar

Sahu

Bose

Samal

2021

Environment and Urbanization ASIA

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Urban flooding is growing as a serious development challenge for cities. Urbanization demands the conversion of pervious land to impervious land by pushing the transformation of water bodies, flood plains, wetlands and green spaces into built-up spaces. This affects the hydrological setting of the city’s geographic area. Bhubaneswar, one of the first planned cities of independent India, has expanded rapidly with an increase in the settlement land use cover from 41 km2 to 81 km2 in the last two decades. Non-consideration of disaster risk assessment in the land use plan has placed the city at high disaster risk. Hence, this article explores various avenues for making a flood resilient city through spatial planning. To understand the flood and its consequences, a flood hazard and vulnerability map was prepared by overlaying the existing social and infrastructure networks, and flood risk zones were generated through analytical spatial modelling in GIS. This accounts for the areas in which flood hazards are expected to occur, as well as the area whose socio-economic and infrastructure susceptibility to the disaster is more. The key outcome is to ensure urban development that can work concurrently with nature by integrating disaster risk reduction strategies into land use planning.

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Planning, ‘Violations’, and Urban Inclusion: A Study of Bhubaneswar

Cited by 15 publications

References 0 publications

Fantasy visions, Informal Urbanization, and Local conflict: Contradictions of Smart City imaginaries in India

Fantasy visions, Informal Urbanization, and Local conflict: Contradictions of Smart City imaginaries in India

Prevalence, Patterns and Predictors of physical activity in Urban Population of Bhubaneswar smart city, India

Urban Flood Risk Assessment and Development of Urban Flood Resilient Spatial Plan for Bhubaneswar

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