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Smart City Profiles & Urban Local Body Performance: An Empirical Study of Indian Smart Cities – Round–1


Dr. Mitesh M. Dadhania , Khyati Foundation Education Vertical, Shilaj, Ahmedabad, Gujarat – 380059 ; Prof Dr K N Sheth, Geetanjali Institute of Technical Studies, NH - 76, Dabok, Udaipur Rajasthan - 313022


Smart City, ULB, Profiles, Performance, Governance, Green Buildings, Smart City Governance


The present phase of most industrialized, creative and innovated corporate functioning has made human life: especially urban life as more facilitated but complex with broaden and escalated Cities in various facets. This has made the Cities more challenging to be governed and become smarter in public administration so as to manage and control the entire community and satisfy its requirements in a smart way. The concept of Smart Cities has its root cause in the Smart community thinking since almost 1960s, which mainly includes the People, Properties, Places, Process, and Prices (5Ps of Smart Cities). Those are prevailed among population & its growth, water & drainage management, electricity & technology supply, transport & traffic management, environment & healthcare management, waste & sanitation management, etc. The Smart Cities also require to be integrated with Information and Communication Technology (ITC) as well as the Internet of Things (IoT). Further, the significant innovation in the technology, business processes and economic restructuring enforce to transform our Cities into the Smart Cities. However, it is more vital to understand about the major impulsive playing their greater role in making the city as a Smart City. This paper examines 8 profile parameters as independent variables and 7 profile parameters as control variables, of the 20 Indian Smart Cities – round-1 and proposes their impact on the performance indicators of Urban Local Body (ULB), their financial status, facilities and approved project cost. These profile parameters fall under demographic profile, economic profile and infrastructure profile. The data of these Cities have been extracted from the official website of Smart Cities Mission, Ministry of Urban, Government of India. With the help of Microsoft Excel and SPSS, Multiple and Pooled Regression Analysis as well as T-test were run to understand the relationship between the studied variables. The research result identifies the most impacting profile parameters for Smart Cities development in India. The study not only reveals how diverse parameters are but also recommends the need for constant progression of choosing them based on the benchmarks obtained from best observance.

Other Details:

Manuscript Id :RMSCRP052
Publication Date: 05/04/2017
Page(s): 253-266
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