JOURNAL ARTICLE
Digitalisation of Indian smart cities: post-Covid-19 approaches to data, recognition and health monitoring.
Published In: Cambridge Journal of Regions, Economy & Society, 2023, v. 16, n. 2. P. 349 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Krishnan, Sneha 3 of 3
Abstract
This article examines the digitalisation and platformisation of urban and health services in India, focusing on the Smart City Mission and the National Digital Health Mission through a case study of Varanasi, Uttar Pradesh. It highlights how these initiatives adopt a top-down, innovation-driven model that often excludes marginalized groups, particularly women frontline health workers (FFHWs), who mediate digital health platforms despite limited access to technology. The study integrates digital and feminist geographies to analyze the gendered and socio-spatial impacts of these technologies, revealing tensions between official smart city visions and residents' lived experiences amid issues like digital divides, surveillance, and social exclusion. It calls for more inclusive, decentralized approaches that address structural inequalities and the digital divide to ensure equitable access and meaningful participation in digital urban and health services.
Additional Information
- Source:Cambridge Journal of Regions, Economy & Society. 2023/07, Vol. 16, Issue 2, p349
- Document Type:Article
- Subject Area:Science
- Publication Date:2023
- ISSN:1752-1378
- DOI:10.1093/cjres/rsad010
- Accession Number:168591019
- Copyright Statement:Copyright of Cambridge Journal of Regions, Economy & Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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