Research trends in the application of big data in smart cities—A literature review

IF 1.2 4区 管理学 Q4 BUSINESS
Youssef Abdelrahman, Petr Hajek, Hikkerova Lubica
{"title":"Research trends in the application of big data in smart cities—A literature review","authors":"Youssef Abdelrahman,&nbsp;Petr Hajek,&nbsp;Hikkerova Lubica","doi":"10.1002/cjas.1734","DOIUrl":null,"url":null,"abstract":"<p>In this study, we review articles published in academic journals. in the last 5 years at the intersection of big data and the smart city context. Based on a dataset of 192 articles, we use content analysis to identify recent trends and future research directions. The most influential research areas identified include using big data analytics, electric vehicle integration, and citizen-centric big data, while the most recent research area that emerged is green space. Our results highlight how big data can influence eight different dimensions of smart cities, with smart mobility attracting the most attention from researchers in the application of big data in smart cities. In contrast, smart people and smart economy are the least explored dimensions from this perspective.</p>","PeriodicalId":47349,"journal":{"name":"Canadian Journal of Administrative Sciences-Revue Canadienne Des Sciences De L Administration","volume":"40 3","pages":"254-269"},"PeriodicalIF":1.2000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Administrative Sciences-Revue Canadienne Des Sciences De L Administration","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cjas.1734","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, we review articles published in academic journals. in the last 5 years at the intersection of big data and the smart city context. Based on a dataset of 192 articles, we use content analysis to identify recent trends and future research directions. The most influential research areas identified include using big data analytics, electric vehicle integration, and citizen-centric big data, while the most recent research area that emerged is green space. Our results highlight how big data can influence eight different dimensions of smart cities, with smart mobility attracting the most attention from researchers in the application of big data in smart cities. In contrast, smart people and smart economy are the least explored dimensions from this perspective.

大数据在智慧城市中应用的研究趋势——文献综述
在这项研究中,我们回顾了学术期刊上发表的文章。在过去的5年里,在大数据和智慧城市的交叉背景下。基于192篇文章的数据集,我们使用内容分析来确定最近的趋势和未来的研究方向。确定的最具影响力的研究领域包括使用大数据分析、电动汽车集成和以公民为中心的大数据,而最近出现的研究领域是绿色空间。我们的研究结果强调了大数据如何影响智能城市的八个不同维度,其中智能移动在大数据在智能城市的应用中最受研究人员的关注。相比之下,从这个角度来看,聪明人和智慧经济是探索最少的维度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.40
自引率
13.60%
发文量
41
期刊介绍: The Canadian Journal of Administrative Sciences (CJAS) is a multidisciplinary, peer-reviewed, international quarterly that publishes manuscripts with a strong theoretical foundation. The journal welcomes literature reviews, quantitative and qualitative studies as well as conceptual pieces. CJAS is an ISI-listed journal that publishes papers in all key disciplines of business. CJAS is a particularly suitable home for manuscripts of a crossdisciplinary nature. All papers must state in an explicit and compelling way their unique contribution to advancing theory and/or practice in the administrative sciences.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信