The Influence of Big Data and IoT on Smart Cities

Karamitsos, Ioannis; Manifavas, Charalampos; Amer, Muhieddin

doi:10.1007/978-981-13-2011-8_9

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Likewise, the goal is to reduce disaster risk so that development activities are sustainable. For this reason, the participation of all segments of society, all government components and all members of the private and professional sector is included, as suggested by the United Nations [ 44 ], ECLAC [ 45 ], and other studies [ 41 , 42 , 46 ].…”

Section: Model Discussionmentioning

confidence: 99%

“…In the community framework, it is possible to consider EWS within the Smart City concept as a large and permanent human ecosystem that provides a set of services and opportunities to citizens [ 43 , 44 ] and where a multidimensional service classification is suggested along with the development of the required basic infrastructure. This involves the combination of Big Data and Internet of Things to enable the integration of different technologies and paradigms within a large smart city ecosystem [ 45 ], with its respective architecture and data dashboard [ 46 ], which also includes healthcare [ 47 , 48 ]. Additionally, it should be highlighted that the monitoring of elderly or disabled people has been given much importance [ 48 ], for their care and considering their informed consent, which leads to the determination of the needs of a smart city for sustainable development from the information system that is generated [ 49 ].…”

Section: Introductionmentioning

confidence: 99%

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Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens

Chang

Castillo

Montes

2022

Sensors

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The multilayer technology integration of hardware and software will reduce the social inclusion gap and increase the support in case of an emergency for people with special needs at hearing and visual levels. This research shows a development based on Internet of Things to support people with visual disabilities (PwVD) for indoor and outdoor activities. The decision-making process is made at the operational, tactical, and strategic level, providing a safe place so people with visual and hearing special needs can make decisions, their families can make decisions, and the government authorities can make decisions in case of an emergency or even on a day-by-day basis. In the case of the authorities, the smart visualization of the data according to the information provided facilitates Comprehensive Disaster Risk Management (CDRM) and Disaster Risk Reduction (DRR). The main findings are based on the need to develop mobile applications, dashboard and web applications that are responsive to people with visual or hearing disabilities, and the need to develop an infrastructure of communication systems assisted by batteries and clean energy, and independent of the current telecommunications system, to allow greater reliability.

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