Smart Cities and Sustainable Development: Global Scenario

EasyChair Preprint 14116, version 1

Abstract

In the contemporary challenges of climate change, global warming, and carbon emission era, smart city building is a vast global approach undertaken by the respective countries. In the cyber-physical world of many dimensions, the use of data streaming out from many sources is a massive inspiration for exploring yet untapped potentials. The use of artificial intelligence, albeit ethically, has the potential to streamline the global stride for ripping the benefits. The attention to the global classification of smart cities on defined parameters is inspiring for inculcating improvements to make smart cities and sustainability a consistent and coherent approach. Innovations, new approaches, and progress in smart city-making can be achieved with the proportionate transpiring of artificial intelligence. Exploring new areas for artificial intelligence use should be a common focus for the 'democratization' of this emerging technique. Apart from discussing a few areas of smart city and sustainability, this chapter also provides a typical use case of using a few regression machine learning techniques for gaining intelligence based on open-source Birmingham, United Kingdom parking data.

Keyphrases: Artificial Intelligence, Cyber Security, Data Analytics, Smart City, Smart City Index

@booklet{EasyChair:14116,
  author    = {Hillol Biswas},
  title     = {Smart Cities and Sustainable Development: Global Scenario},
  howpublished = {EasyChair Preprint 14116},
  year      = {EasyChair, 2024}}