Decoding urban expansion: a machine learning perspective on Lucknow's growth trajectory
Danish Khan,
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Nizamuddin Khan
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GeoJournal,
Journal Year:
2025,
Volume and Issue:
90(2)
Published: March 10, 2025
Language: Английский
The influence of spatial form of different functional blocks on pollution reduction and carbon reduction: Evidence from Hefei City
Wenshan Su,
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Junqi Wu,
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Chunsen Hu
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et al.
Indoor and Built Environment,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Air
pollution
(PE)
and
carbon
emissions
(CE)
are
obstacles
to
achieving
the
Sustainable
Development
Goals
(SDGs)
globally.
The
development
intensity
spatial
form
of
urban
blocks
could
affect
PE-CE.
relationship
between
these
factors
PE-CE
was
investigated
in
this
study.
results
showed
that:
(1)
distribution
various
that
PE
consistent
with
normalized
difference
vegetation
index
(NDVI),
average
height
(AH)
building
density
(BD),
while
CE
BD,
floor
area
ratio
(FAR)
otherness
(BO).
Neighbourhoods
high
NDVI
have
low
CE.
(2)
Correlation
analysis
shows
general,
FAR,
BO
were
positively
correlated,
negatively
correlated.
correlation
other
different
functional
has
its
own
characteristics.
(3)
For
interpretation
random
forest
model,
FAR
a
strong
all
areas.
CE,
50%
public
blocks,
19%
residential
28%
industrial
blocks.
PE,
29%.
(4)
AH
most
frequently
judged
as
important
factors.
key
affecting
AH.
Public
block
(AREA).
Industrial
AREA,
BD
BO.
Language: Английский
Urban Expansion and Spatial Growth Patterns in Lucknow: Implications for Sustainable Development (1991–2021)
Danish Khan,
No information about this author
Nizamuddin Khan,
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Upasana Choudhury
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
17(1), P. 227 - 227
Published: Dec. 31, 2024
Urbanization
is
a
major
driver
of
land-use
change,
with
significant
implications
for
sustainable
development
in
rapidly
growing
cities.
In
this
study,
we
assess
the
spatiotemporal
patterns
urban
expansion
Lucknow,
India,
from
1991
to
2021,
using
geospatial
techniques
and
Landsat
satellite
imagery.
The
key
objective
analyze
growth
patterns,
identify
contributing
factors,
evaluate
sustainability
these
trends.
Results
reveal
nearly
fivefold
increase
built-up
area,
53.86
km2
261.45
2021.
Edge
accounted
55.99%
total
2001,
while
ribbon
increased
18.06%
21.03%
by
Leapfrog
development,
considered
unsustainable,
rose
12.35%
17.35%
Compared
previous
studies,
findings
highlight
influence
transportation
infrastructure
industrialization
on
sprawl,
particularly
northeastern
northwestern
zones.
This
study
contributes
offering
zone-wise
analysis
which
provides
deeper
insights
into
dynamics
expansion.
are
crucial
planners,
as
they
suggest
need
more
stringent
zoning
regulations
targeted
investments
manage
future
sustainably
minimising
environmental
impact.
Language: Английский
Urban Expansion and its Influence on Land Surface Temperature: A Case Study of Patna City, India
Wasim Akram,
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Amzad,
No information about this author
Danish Khan
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et al.
Journal of Landscape Ecology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 25, 2024
Abstract
Rapid
urbanization
in
developing
countries
has
significant
implications
for
local
climate
and
environmental
conditions.
This
study
examines
land
use/land
cover
(LULC)
changes
their
impact
on
surface
temperature
(LST)
Patna,
India
from
1988
to
2022
using
Landsat
imagery
geospatial
techniques.
cities
can
significantly
alter
climate,
but
the
dynamics
Patna
were
not
well
understood.
Using
supervised
classification
thermal
band
analysis,
research
quantified
LULC
transformations
LST
over
34
years.
Results
show
dramatic
urban
expansion,
with
built-up
area
increasing
38
%
80
of
total
area,
while
vegetation
decreased
44
just
7
%.
These
corresponded
an
overall
increase
LST,
maximum
temperatures
rising
by
1.06°C
minimum
6°C.
Strong
correlations
found
between
spectral
indices
like
NDVI
(negative)
NDBI
(positive).
The
reveals
accelerated
growth
increases,
especially
after
2005,
highlighting
need
sustainable
planning
strategies
mitigate
heat
island
effects
improve
comfort
Patna.
provides
valuable
baseline
data
understanding
impacts
rapidly
growing
Indian
cities.
Language: Английский