A Study of the Interaction of Human Smart Characteristics with Demographic Dynamics and Built Environment: The Case of Limassol, Cyprus
Journal
Smart Cities
Date Issued
March 2020
DOI
10.3390/smartcities3010004
Abstract
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.
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.
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