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.
There is a worldwide trend for planning bodies to allow, require, or encourage developers to provide open spaces in their properties for public enjoyment to complement the open spaces on government lands. The two types of privately owned open space and government-owned open space, both accessible to public, can influence on people’s quality of life. Whether and how the land ownership of open spaces would influence their performance and, in turn, affect user satisfaction has not yet been studied and is worthy of exploration. This paper aims to examine the interactive relationships among three variables: ‘publicness’, quality/performance, and user satisfaction in both types of open space in Hong Kong. A questionnaire survey was administered to users of privately owned open space and government-owned open space and found that satisfaction with government-owned open space was marginally higher than with privately owned open space, with respect to activity facilities, amenities, and the overall utilization. Nevertheless, the differences in satisfaction were mainly the result of open space quality rather than land ownership per se. This study also examines the determinants of satisfaction, open space provision, and management and trends in spatial use. Findings from this study can deepen the understanding of utilizing both government-owned open space and privately owned open space from the user’s perspective, which will help improve the planning, design, and management of open spaces in cities.
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