Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges

doi:10.1109/JAS.2020.1003120

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges
	Mohammadhossein Ghahramani; MengChu Zhou; Gang Wang
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2020
卷号	7 期号:3 页码:627-637
摘要	Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. Much concern in cellular data analysis is related to human beings and their behaviours. Due to the potential value that lies behind these massive data, there have been different proposed approaches for understanding corresponding patterns. To that end, analyzing people’s activities, e.g., counting them at fixed locations and tracking them by generating origin-destination matrices is crucial. The former can be used to determine the utilization of assets like roads and city attractions. The latter is valuable when planning transport infrastructure. Such insights allow a government to predict the adoption of new roads, new public transport routes, modification of existing infrastructure, and detection of congestion zones, resulting in more efficient designs and improvement. Smartphone data exploration can help research in various fields, e.g., urban planning, transportation, health care, and business marketing. It can also help organizations in decision making, policy implementation, monitoring, and evaluation at all levels. This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data. We classify these existing methods and present a taxonomy of the related work by discussing their pros and cons.
关键词	Big data analysis human mobility origin destination matrices smart infrastructure urban planning
DOI	10.1109/JAS.2020.1003120
引用统计	被引频次：51[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42974
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Mohammadhossein Ghahramani,MengChu Zhou,Gang Wang. Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(3):627-637.
APA	Mohammadhossein Ghahramani,MengChu Zhou,&Gang Wang.(2020).Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges.IEEE/CAA Journal of Automatica Sinica,7(3),627-637.
MLA	Mohammadhossein Ghahramani,et al."Urban Sensing Based on Mobile Phone Data: Approaches, Applications, and Challenges".IEEE/CAA Journal of Automatica Sinica 7.3(2020):627-637.

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