A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development

Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, is not clearly articulated. Focusing on Human M...

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Bibliographic Details
Published inISPRS international journal of geo-information Vol. 10; no. 1; p. 13
Main Authors Wang, Anqi, Zhang, Anshu, Chan, Edwin H. W., Shi, Wenzhong, Zhou, Xiaolin, Liu, Zhewei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2021
Subjects
Big Data
Cellular telephones
Citation indexes
Coronaviruses
COVID-19
Data
Data analysis
Hong Kong
human mobility
Land use
Literature reviews
Mobility
Power
R&D
Research & development
Severe acute respiratory syndrome coronavirus 2
Smart cities
smart city policy
Spatial analysis
spatiotemporal human activity
Tourism
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Summary:Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, is not clearly articulated. Focusing on Human Mobility, one of the most frequently investigated applications of big data analytics, a framework for linking international academic research and city-level management policy was established and applied to the case of Hong Kong. Literature regarding human mobility research using big data are reviewed. These studies contribute to (1) discovering the spatial-temporal phenomenon, (2) identifying the difference in human behaviour or spatial attributes, (3) explaining the dynamic of mobility, and (4) applying to city management. Then, the application of the research to smart city development are scrutinised based on email queries to various governmental departments in Hong Kong. The identified challenges include data isolation, data unavailability, gaming between costs and quality of data, limited knowledge derived from rich data, as well as estrangement between public and private sectors. With further improvement in the practical value of data analytics and the utilization of data sourced from multiple sectors, paths to achieve smarter cities from policymaking perspectives are highlighted.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi10010013