Title |
People-Centric Service Intelligence for Smart Cities |
ID_Doc |
44048 |
Authors |
Xu, H; Geng, XX |
Title |
People-Centric Service Intelligence for Smart Cities |
Year |
2019 |
Published |
Smart Cities, 2, 2 |
DOI |
10.3390/smartcities2020010 |
Abstract |
In the era of big data, smart cities have become a promising prospect for governments, citizens, and industrials. Many ideas and their derived systems for smart cities depend on big data for achieving a goal of data intelligence. However, there is an urgent transformation trend from data intelligence to service intelligence in the vision of smart cities due to the living requirements of citizens. People-centric service intelligence in smart cities has to support the realization of people's needs within urban and social domains. This paper introduces a concept of people-centric service intelligence, defines the level of it and its challenges in the aspect of infrastructure, human dynamics, human understanding and prediction, and the human-machine interface. Then, this paper proposes the theoretical framework and technical frameworks of people-centric service intelligence, and the service intelligence schemas for future construction of smart cities. It will be helpful for governments and industries to design people-centric service intelligence for improving the quality of life, the capabilities of good sustainability, and better development. |
Author Keywords |
smart city; data intelligence; service intelligence; people-centric service |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Emerging Sources Citation Index (ESCI) |
EID |
WOS:000660897000001 |
WoS Category |
Engineering, Electrical & Electronic; Urban Studies |
Research Area |
Engineering; Urban Studies |
PDF |
https://www.mdpi.com/2624-6511/2/2/10/pdf?version=1555939977
|