Social Network Based Decision Support System for Smart U-Parking Planning

The aim of this study was to build ‘Ubi-Net’, a
decision-making support system for systematic establishment in
U-City planning. We have experienced various urban problems caused
by high-density development and population concentrations in
established urban areas. To address these problems, a U-Service
contributes to the alleviation of urban problems by providing real-time
information to citizens through network connections and related
information. However, technology, devices, and information for
consumers are required for systematic U-Service planning in towns
and cities where there are many difficulties in this regard, and a lack of
reference systems.
Thus, this study suggests methods to support the establishment of
sustainable planning by providing comprehensive information
including IT technology, devices, news, and social networking
services (SNS) to U-City planners through intelligent searches. In this
study, we targeted Smart U-Parking Planning to solve parking
problems in an ‘old’ city. Through this study, we sought to contribute
to supporting advances in U-Space and the alleviation of urban
problems.





References:
[1] Y. K. Juan, L. Wang, J. Wang, J. Leckie, Li. O, “A decision-support
system for smarter city planning and management”, IBM Jounal. RES. &
DEV., Vol. 55 No. 1&2, PAPER 3, 2012, pp. 3:1–3:12.
[2] G. Falconer, S. Mitchell, “Smart City Framework: A Systematic Process
for Enabling Smart+Connected Communities”, Cisco IBSG, 2012, pp.
1-11.
[3] R. Giffinger, C. Fertner, H. Kramar, R. Kalasek, N. Pichler, E. Meijers,
“Smart cities Ranking of European medium-sized cities”, Edited by the
Centre of Regional Science, Vienna UT, 2007, pp. 1-26.
[4] http://www.spatial.redlands.edu./sds/
[5] Y. Choi, “Developing a Design Support System based on Components for
Rural Planning”, ChungBuk University of Argricultural & Rural
Engineering master’s thesis, 2007.
[6] Y. S. Oh, J. H. Koo, T. H. Kim, “Decision Support System Design for GIS
based Construction Planning of Urban Railroad”, The Journal of GIS
Association of Korea, No. 2, 2005, pp. 139-155.
[7] M. H. Hsu, A. S. Chen, L. C. Chen, C. S. Lee, F. T. Lin, C. J. Huang, “A
GIS-based Decision Support System for Typhoon Emergency Response in
Taiwan”, The Journal of Geotechnical and Geological Engineering, Vol.
29, No. 1, 2011, pp. 7-12.
[8] http://www.g2b.go.kr:8100/index.jsp
[9] H. Y. Kim, “A study on the analysis of sharing characteristics of urban
spatial data using social network analysis”, Busan University of
Department GIS Graduate School of master’s thesis, 2009, pp. 21.