Geo-spatial Assessment of Inherent Smart Urban Attributes of Traditional Neighborhood-Level Communities in India

Dhingra, Mani; Chattopadhyay, Subrata

doi:10.1007/978-981-19-1146-0_17

Cited by 2 publications

(2 citation statements)

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“…As shown in Fig. 3, raw data is acquired using the drone surveys, which is then processed and transformed to a digital 3D model using Bentley's Context Capture platform (CC) 1 . These models can be further communicated using different tools based on the target audience and purpose of digital twin.…”

Section: Methodsmentioning

confidence: 99%

“…Cities are becoming smarter every day by adopting new technology and data-driven solutions. 'Smart City' being a contested term strategically improves the quality of life and well-being of its citizens, promote urban sustainability, and ensure inclusive socioeconomic growth [1], [2]. With emerging technology, it is possible to transform a physical builtup environment into an interactive and interconnected digital system for easy virtual monitoring and well-coordinated stakeholder collaboration.…”

Section: Introductionmentioning

confidence: 99%

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Smart DCU Digital Twin: Towards Smarter Universities

Fernandez,

Dhingra,

Mandal

et al. 2023

2023 IEEE Smart World Congress (SWC)

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Although both smart city and digital twin are ambiguous and contested terms, there exists a co-creative link between the two. Theoretically, digital twin seems to be a sustainable digital solution for smart cities to achieve ideal city vision by digitization of physical urban spaces. This study investigates and informs the role, benefits and challenges in developing and deploying digital twin solution for efficient decision-making in infrastructure planning and management. This technology is experimented in a 3D cyberspace of Dublin City University, which is also one of the testbeds under the broader Smart Dublin umbrella. It is an ongoing project and expects to develop effective use-cases for monitoring present situations, multi-stakeholder collaboration and action research towards a responsive and adaptive campus environment.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%