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A Study of the Interaction of Human Smart Characteristics with Demographic Dynamics and Built Environment: The Case of Limassol, Cyprus
- Source :
- Smart Cities, Volume 3, Issue 1, Pages 4-73
-
Abstract
- The authors also would like to acknowledge the “CUT Open Access Author Fund” for covering the open access publication fees of the paper. The smart city notion provides an integrated and systematic answer to challenges facing cities today. Smart city policy makers and technology vendors are increasingly stating their interest in human-centered smart cities. On the other hand, in many studies smart city policies bring forward a one-size-fits-all type of recommendation for all areas in question instead of location-specific ones. Based on the above considerations, this paper illustrates that smart citizen characteristics, alongside local urban challenges, are paving the way towards more e ective e orts in smart city policy decision making. Our main presumption is that the development level of human-centered indicators of smart cities varies locally. The scientific objective of this paper is to find a simple, understandable link between human smart characteristics and local determinants in Limassol city, Cyprus. The data set consists of seven indicators defined as human smart characteristics and seven which determine local urban challenges consisting of demographic dynamics and built infrastructure attributes based on housing. Correlations of the 14 above indicators are examined in entirety and separately, as the study area was divided into three spatial sub-groups (high, moderate, and low coverage areas) depending on dispersed urbanization, as the main challenge of the study area. The data were obtained mainly from the most recent population census in 2011 and categorized in sub-groups by triggering CLC 2012. Analyzing the statistics using principal component analysis (PCA), we identify significant relationships between human smart city characteristics, demographic dynamics and built infrastructure attributes which can be used in local policy decision making. Spatial variations based on the dispersed urbanization are also observed regarding the above-mentioned relationships.
- Subjects :
- Urban challenges
0211 other engineering and technologies
02 engineering and technology
Civil Engineering
urban planning
human-centered smart cities
Human-centered smart cities
Urban planning
Policy decision
Smart city
Urbanization
11. Sustainability
021108 energy
local determinants
Environmental planning
Built environment
dispersed urbanization
urban challenges
Presumption
021107 urban & regional planning
Census
Limassol
13. Climate action
Dynamics (music)
Cyprus
Local determinants
Engineering and Technology
Business
Dispersed urbanization
Subjects
Details
- Language :
- English
- ISSN :
- 26246511
- Volume :
- 3
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Smart Cities
- Accession number :
- edsair.doi.dedup.....369a7a1416fe46a930d5bb1ae0262fe9
- Full Text :
- https://doi.org/10.3390/smartcities3010004