DocumentCode
1758039
Title
Architectural implications of smart city business models: an evolutionary perspective
Author
Mulligan, C.E.A. ; Olsson, M.
Volume
51
Issue
6
fYear
2013
fDate
41426
Firstpage
80
Lastpage
85
Abstract
Smart cities have rapidly become a hot topic within technology communities, and promise both improved delivery of services to end users and reduced environmental impact in an era of unprecedented urbanization. Both large hightech companies and grassroots citizen-led initiatives have begun exploring the potential of these technologies. Significant barriers remain to the successful rollout and deployment of business models outlined for smart city applications and services, however. Most of these barriers pertain to an ongoing battle between two main schools of thought for system architecture, ICT and telecommunications, proposed for data management and service creation. Both of these system architectures represent a certain type of value chain and the legacy perspective of the respective players that wish to enter the smart city arena. Smart cities services, however, utilize components of both the ICT industry and mobile telecommunications industries, and do not benefit from the current binary perspective of system architecture. The business models suggested for the development of smart cities require a longterm strategic view of system architecture evolution. This article discusses the architectural evolution required to ensure that the rollout and deployment of smart city technologies is smooth through acknowledging and integrating the strengths of both the system architectures proposed.
Keywords
data handling; mobile communication; mobile computing; telecommunication services; town and country planning; ICT industry; architectural implications; data management; environmental impact reduction; evolutionary perspective; grassroots citizen-led initiatives; high-tech companies; legacy perspective; mobile telecommunications industries; service creation; service delivery; smart city applications; smart city business models; smart city services; smart city technologies; system architecture evolution; value chain; Biological system modeling; Business; Cities and towns; Computer architecture; Data privacy; Mobile communication; Mobile computing;
fLanguage
English
Journal_Title
Communications Magazine, IEEE
Publisher
ieee
ISSN
0163-6804
Type
jour
DOI
10.1109/MCOM.2013.6525599
Filename
6525599
Link To Document