Using Big Data and Artificial Intelligence to Enhance Smart Cities

Author:

Chakir Aziza1ORCID,Andry Johanes F.2ORCID,Bansal Rohit3ORCID,Ulah Arif4,Durrah Omar5,Mamoon Rashid6

Affiliation:

1. Faculty of Law, Economics, and Social Sciences, University of Hassan II, Casablanca, Morocco

2. Faculty of Technology and Design, Universitas Bunda Mulia- Jakarta, Indonesia

3. Department of Management Studies, Vaish College of Engineering, Rohtak, India

4. Air University, Pakistan

5. College of Commerce and Business Administration, Dhofar University, Oman

6. Faculty of Science and Technology, Vishwakarma University, India

Abstract

This chapter analyzes the relationships that cities have with digital technologies. Smart cities are at the crossroads between the development of information and communication technologies in the city, and the affirmation of a new paradigm of sustainable urban development. To assess the social impact of smart cities on citizens, an empirical study was needed. The study and analysis of the data allowed measurement of the level of interest and sensitivity of citizens, to know the connected people who use new technologies, to collect the opinions of the inhabitants and users of the city to identify the main needs, and to improve the comfort of the inhabitants while having more efficient transport. This study has enabled the formation of future projections so that all citizens benefit from the powers of smart cities.

Publisher

IGI Global

Reference28 articles.

1. Applications of big data to smart cities

2. Bnouachir, H. (n.d.). Intelligent Fleet Management System for Open Pit Mine.

3. A decisional smart approach for the adoption of the IT green.;A.Chakir;Environment, Development and Sustainability,2020

4. A Smart Updater IT Governance Platform Based on Artificial Intelligence

5. A Decision Approach to Select the Best Framework to Treat an IT Problem by Using Multi-Agent System and Expert Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3