Building a typology of the 100 smart cities in India

Abstract

Purpose

The Smart Cities Mission (SCM) in India is generating significant interest among researchers and policymakers globally. Cities under the SCM, irrespective of their locations, size, capacities or local needs, are heavily investing in technological solutions to improve civic conditions. The purpose of this paper is to build a typology and urban classification system of these 100 smart cities using a series of key performance indicators (KPIs) around urban development and access to public services. The paper also systematically recognises the diversity of challenges facing these cities and assess whether a generic technology-based approach is adequate to address them.

Design/methodology/approach

A two-stage statistical process is employed in this typology building exercise – first, a cluster analysis is conducted to classify the selected cities, then a multiple discriminant analysis is used to characterise each classified city.

Findings

The urban typology analysis finds that vast disparities remain across India’s urban centres, located in different geographical regions, in terms of access to social capital and physical infrastructure. The KPIs around education, health and social services emerged from the analysis as the most significant drivers in the urban typology building process. The lack of basic community infrastructure, especially in the small-to-medium-sized cities in India, exposes the shortcomings of a one-size-fits-all technocratic smart city development strategy that assumes foundational infrastructure is already in place for technology to take effect.

Originality/value

The research methodologies developed in this paper offers a novel planning approach for smart city policymakers to devise place-based smart city interventions, acknowledging diverse cultures and specific community needs.

Citation

Praharaj, S. and Han, H. (2019), "Building a typology of the 100 smart cities in India", Smart and Sustainable Built Environment, Vol. 8 No. 5, pp. 400-414. https://doi.org/10.1108/SASBE-04-2019-0056