Engineering Construction & Architectural Management,
Journal Year:
2022,
Volume and Issue:
30(6), P. 2481 - 2502
Published: March 29, 2022
Purpose
Reportedly,
green
roof
(GR)
makes
a
significant
contribution
towards
truly
sustainable-built
environment;
however,
its
implementation
is
yet
to
hit
sufficient
level
in
developing
countries.
Thus,
this
study
assesses
GR
strategies
countries
by
providing
comparative
analysis
through
experts
Kazakhstan,
Malaysia
and
Turkey.
Design/methodology/approach
The
adopts
four-step
methodological
approach
achieve
the
research
aim:
literature
review,
focus
group
discussion,
fuzzy
analytical
hierarchy
process
(FAHP)
correlation
analyses.
First,
review
followed
discussion
used
determine
18
(out
of
25
initially)
for
selected
context
these
are
classified
into
three
categories:
governmental
institutional
support,
knowledge
information
policy
regulation.
Afterward,
identified
evaluated
using
FAHP
with
data
gathered
from
studied.
Finally,
analyses
were
observe
strength
agreement
between
assessments
included
Findings
findings
indicate
that
financial
incentives,
low-cost
government
loans
subsidies
tax
rebates
essential
wider
adoption
GR.
Evaluating
regulations
also
showed
mandatory
policies
better
enforcement
developed
ranked
as
most
prominent
strategies.
show
low
among
respondents
while
there
high
Research
limitations/implications
twofold.
First
(research
implication),
identifies
complete
review.
Second,
lenses
which
hoped
provide
(practical
contribution)
understanding
effective
require
attention
enable
frontline
stakeholders
(particularly
authorities)
on
them.
Originality/value
good
point
departure
explore
broader
GRs
economic
setting.
Geomatics Natural Hazards and Risk,
Journal Year:
2021,
Volume and Issue:
12(1), P. 2087 - 2116
Published: Jan. 1, 2021
Severe
flood
events
in
the
trans-boundary
Shatt
Al-Arab
basin
(Iraq-Iran)
claim
hundreds
of
human
lives
and
cause
damage
to
economy
environment.
Therefore,
developing
a
hazard
model
recognize
basin's
susceptible
areas
flooding
is
important
for
decision
makers
comprehensive
risk
management.
The
map
was
prepared
using
geographical
information
systems
(GIS)
multi-criteria
analysis
(MCDA)
along
with
application
analytical
hierarchy
process
(AHP)
method
identify
optimal
selection
weights
factors
that
contribute
risk.
causative
used
this
study
were
rainfall,
distance
river,
digital
elevation
(DEM),
slope,
land
use/land
cover
(LULC),
drainage
density,
soils,
lithology.
derived
consisted
four
distinct
categories
(zones).
These
zones
depict
high,
intermediate,
low,
very
low
around
20%,
40%,
39%,
2%
area,
respectively.
produced
further
verified
historical
event
area.
results
found
be
consistent
data
events,
revealing
model's
effectiveness
realistic
representation
mapping.
Geoscience Frontiers,
Journal Year:
2021,
Volume and Issue:
12(5), P. 101177 - 101177
Published: Feb. 23, 2021
This
paper
introduces
an
intelligent
framework
for
predicting
the
advancing
speed
during
earth
pressure
balance
(EPB)
shield
tunnelling.
Five
artificial
intelligence
(AI)
models
based
on
machine
and
deep
learning
techniques—back-propagation
neural
network
(BPNN),
extreme
(ELM),
support
vector
(SVM),
long-short
term
memory
(LSTM),
gated
recurrent
unit
(GRU)—are
used.
geological
nine
operational
parameters
that
influence
are
considered.
A
field
case
of
tunnelling
in
Shenzhen
City,
China
is
analyzed
using
developed
models.
total
1000
datasets
adopted
to
establish
The
prediction
performance
five
ranked
as
GRU
>
LSTM
SVM
ELM
BPNN.
Moreover,
Pearson
correlation
coefficient
(PCC)
sensitivity
analysis.
results
reveal
main
thrust
(MT),
penetration
(P),
foam
volume
(FV),
grouting
(GV)
have
strong
correlations
with
(AS).
An
empirical
formula
constructed
high-correlation
influential
factors
their
corresponding
datasets.
Finally,
performances
method
compared.
all
perform
better
than
method.
