2017
DOI: 10.1016/j.apgeog.2017.05.003
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Rural-urban spatial inequality in water and sanitation facilities in India: A cross-sectional study from household to national level

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Cited by 76 publications
(54 citation statements)
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“…In the sanitation sector, especially within India, the differences between rural and urban contexts (O'Reilly and Louiss, 2014;Chaudhuri and Roy, 2017) and the characteristics of small towns have been previously explored (Sundaravadivel and Vigneswaran, 2001;Singh et al, 2015). However, there has been no study to date of the differences between mega and secondary cities in the WASH context.…”
Section: Comparing Small Scale Sanitation In Mega and Secondary Citiesmentioning
confidence: 99%
“…In the sanitation sector, especially within India, the differences between rural and urban contexts (O'Reilly and Louiss, 2014;Chaudhuri and Roy, 2017) and the characteristics of small towns have been previously explored (Sundaravadivel and Vigneswaran, 2001;Singh et al, 2015). However, there has been no study to date of the differences between mega and secondary cities in the WASH context.…”
Section: Comparing Small Scale Sanitation In Mega and Secondary Citiesmentioning
confidence: 99%
“…Besides health ramifications, it leads to school dropouts, which interferes with their cognitive development routines and thus limits future career opportunities. Lack of sustainable water supply services undermines the rural WaSH (Water–Sanitation–Hygiene) infrastructure to cause multiple social-health damages (Chaudhuri and Roy 2017).…”
Section: Methodsmentioning
confidence: 99%
“…The extent of spatial heterogeneity in RWSS coverage was assessed by agglomerative hierarchical cluster analysis (HCA). Application of HCA is well documented in water resources assessment studies (Chaudhuri and Ale 2015; Chaudhuri and Roy 2017; Hadjisolomou et al 2018; Shrivaastava, Tandon, and Kumar 2015). In the present context, the governing idea was to ‘generalise’ states based on similarity (or dissimilarity) in RWSS coverage (for both 40 lpcd and 55 lpcd) so as to identify underlying zones (of high/low coverage).…”
Section: Methodsmentioning
confidence: 99%
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