Access to basic amenities and services to urban households in West Bengal: Does its location and size of settlements matter?

Das, Manob; Barman, Himadri

doi:10.1007/s10708-019-10101-6

Cited by 24 publications

(10 citation statements)

References 30 publications

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“…Before construction of composite score for each air pollutants across UAs, the entire data were standardized to make them unit free using range equalization methods ( Das et al, 2019 , Das et al, 2020 ) (called normalization of data). The standardized value of data ranges from 0 to 1 where 0 indicates relatively very good air quality and the value close to 1 indicates relatively very poor air quality.…”

Section: Methodsmentioning

confidence: 99%

Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India

et al. 2021

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Section: Methodsmentioning

confidence: 99%

Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India

et al. 2021

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“…In most of the states located in eastern (such as Odisha, Bihar, West Bengal, Uttar Pradesh) and central (Madhya Pradesh, Chhattisgarh) part of India, there was a substantial lack of accessibility as well as availability to the basic services and amenities. In many previous studies, it was well recognized that there is a lack of better accessibility to the basic services in slum areas [ 6 , 27 , 51 ]. Thus, limited access to the basic services and amenities of the households may make them more vulnerable to COVID-19 transmission.…”

Section: Resultsmentioning

confidence: 99%

“…The indicators selected to measure SVI covid-19 ; different indicators with different measuring units have been used. Therefore, it is essential to make them unit-free [ [15] , [16] , [17] , 51 ]. A similar kind of approach has been used for the human development index (HDI) and life expectancy [ 52 , 53 ].…”

Section: Methodsmentioning

confidence: 99%

Habitat vulnerability in slum areas of India – What we learnt from COVID-19?

Das

Giri

Sarkar

et al. 2021

International Journal of Disaster Risk Reduction

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UN-Habitat identified the present COVID-19 pandemic as ‘city-centric’. In India, more than 50% of the total cases were documented in megacities and million-plus cities. The slums of cities are the most vulnerable due to its unhygienic environment and high population density that requires an urgent implementation of public healthcare measures. This study aims to examine habitat vulnerability in slum areas to COVID-19 in India using principal component analysis and Fuzzy AHP based technique to develop slum vulnerability index to COVID-19 (SVI covid-19 ). Four slum vulnerability groups (i.e. principal components) were retained with eigen-values greater than 1 based on Kaiser criterion - poor slum household status; lack of social distance maintenance; high concentrations of slum population and towns and mobility of the households. This study also mapped composite SVI covid-19 on the basis of PCA and Fuzzy AHP method at the state level for a better understanding of spatial variations. The result shows that slums located in the eastern and central parts of India (particularly Uttar Pradesh, Bihar, Jharkhand, Odisha, West Bengal) were more vulnerable to COVID-19 transmission due to lack of availability as well as accessibility to the basic services and amenities to slum dwellers. Thus, the findings of the study may not only help to understand the habitat vulnerability in slum areas to COVID-19 but it will also teach a lesson to implement effective policies for enhancing the quality of slum households (HHs) and to reduce the health risk from any infectious disease in future.

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“…Scale 1 will indicate an individual parameter’s highest level of diversity, and scale 0 will indicate the least diversity. The scale equivalence technique has been applied to create a strong relationship among the data set (Das et al, 2019a, 2019b; Ketchen & Shook, 1996; Kundu et al, 2002; Mazziotta & Pareto, 2016; Miller & Roth, 1994; Quackenbush, 2002). Standardisation is conducted with the help of the following equation- …”

Section: Methodsmentioning

confidence: 99%

Spatial Variation of Quality of Living in Selected Blocks of Murshidabad District in West Bengal, India

Ghosh,

Roy

2022

Asia-Pacific Journal of Rural Development

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Quality of living conditions refer to the general well-being of individuals and societies, which includes education, family health, employment, wealth, satisfaction, safety, religious belief, freedom, etc. This research paper deals with spatial variation of quality of living regarding various basic services and amenities in selected blocks of Murshidabad district in West Bengal, India. A composite index was developed based on 19 indicators to measure the actual scenario of the living condition of households there. Different indices, such as the human capital index, financial capital index, physical capital index and housing index, have been used to measure block-level disparity and were categorised based on composite score value. As expected, the level of development is unequal, with vast areas of backwardness interspersed with micro zones of development. The findings reveal that the northern part of this region is more developed as compared with other parts of this region. The quality of living and development of a particular region depends not only upon a single criterion but also on the interplay of several socio-economic factors that determine that region’s development level. This study suggests that the backward blocks need urgent improvement in most indicators to enhance the households’ living conditions.

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Access to basic amenities and services to urban households in West Bengal: Does its location and size of settlements matter?

Cited by 24 publications

References 30 publications

Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India

Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India

Habitat vulnerability in slum areas of India – What we learnt from COVID-19?

Spatial Variation of Quality of Living in Selected Blocks of Murshidabad District in West Bengal, India

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