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Review

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

1
Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China
2
Research Institute for Sustainable Urban Development (RISUD), The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China
3
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China
4
Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2021, 10(1), 13; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010013
Received: 5 November 2020 / Revised: 23 December 2020 / Accepted: 28 December 2020 / Published: 31 December 2020
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. View Full-Text
Keywords: human mobility; big data; spatiotemporal human activity; COVID-19; smart city policy; Hong Kong human mobility; big data; spatiotemporal human activity; COVID-19; smart city policy; Hong Kong
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MDPI and ACS Style

Wang, A.; Zhang, A.; Chan, E.H.W.; Shi, W.; Zhou, X.; Liu, Z. A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development. ISPRS Int. J. Geo-Inf. 2021, 10, 13. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010013

AMA Style

Wang A, Zhang A, Chan EHW, Shi W, Zhou X, Liu Z. A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development. ISPRS International Journal of Geo-Information. 2021; 10(1):13. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010013

Chicago/Turabian Style

Wang, Anqi, Anshu Zhang, Edwin H.W. Chan, Wenzhong Shi, Xiaolin Zhou, and Zhewei Liu. 2021. "A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development" ISPRS International Journal of Geo-Information 10, no. 1: 13. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10010013

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