TY - JOUR
T1 - A review of human mobility research based on big data and its implication for smart city development
AU - Wang, Anqi
AU - Zhang, Anshu
AU - Chan, Edwin H.W.
AU - Shi, Wenzhong
AU - Zhou, Xiaolin
AU - Liu, Zhewei
N1 - Funding Information:
Funding: This research was funded by the National Key R&D Program of China (2019YFB2103102), and The Hong Kong Polytechnic University (1-BBWF, 1-ZVN6, 4-ZZFZ).
Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Big data
KW - COVID-19
KW - Hong Kong
KW - Human mobility
KW - Smart city policy
KW - Spatiotemporal human activity
UR - http://www.scopus.com/inward/record.url?scp=85105215234&partnerID=8YFLogxK
U2 - 10.3390/ijgi10010013
DO - 10.3390/ijgi10010013
M3 - Review article
AN - SCOPUS:85105215234
SN - 2220-9964
VL - 10
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
IS - 1
M1 - 13
ER -
