Journal of Modern Science,
Год журнала:
2024,
Номер
60(6), С. 896 - 916
Опубликована: Дек. 29, 2024
Objectives
The
article
focuses
on
the
analysis
and
evaluation
of
changes
in
tenant
behavior
expecta-tions,
rental
market
during
constraints
operation
of,
among
others,
institutions,
businesses,
schools,
pandemic.
young
people,
who,
by
defini-tion,
base
their
housing
needs
more
heavily
rent,
was
analyzed.
purpose
is
to
analyze
factors
that
affect
use
rent
people
Lower
Silesian
province
This
research
paper
attempted
answer
what
direction
these
have
gone.
In
process
designing
study,
hypotheses
were
formulated.
Based
statistical
analysis,
it
assumed
key
factor
affects
long-term
lack
creditworthiness
Material
methods
survey
conducted
focused
people.
An
author's
questionnaire
used.
titled
Rental
Market
Preferences
addressed
tenants
using
study
contained
nine
closed
questions.
pandemic
period.
Results
methodology
used
allowed
us
verify
relationship
between
number
rooms
rented
risk
factors,
thus
confirming
validity
hypothesis.
Conclusions
Factors
influencing
include
personal
circumstances
creditworthiness.
During
period,
divorces
Poland
increased
from
13.4
per
10,000
2020
15.9
2022.
carried
out
cities
province,
which
mainly
populated
living
away
family
home,
unable
nest
with
parents
after
breakup
a
relationship.
Finance research letters,
Год журнала:
2022,
Номер
50, С. 103236 - 103236
Опубликована: Авг. 5, 2022
This
study
analysed
the
impact
of
Russian
aggression
against
Ukraine
in
February
2022
on
rental
and
housing
prices
Warsaw
Krakow,
two
major
cities
Poland.
We
hypothesize
that
tremendous
urban
population
growth
(by
15%
23%
Krakow)
a
short
period
generated
demand
shock,
which,
combined
with
constrained
availability,
resulted
extraordinary
changes
rents.
Quantile
hedonic
indices
indicated
significant
increase
rents
since
beginning
invasion
both
markets,
which
were
affected
by
refugee
shock.
However,
similar
effects
not
observed
case
prices.
In
March
April
2022,
increased
around
16.5%
Krakow
14%
Warsaw,
while
rose
much
less
about
4.0%
1%
Warsaw).
Using
Bayesian
Structural
Time
Series
models,
we
demonstrated
this
abnormal
rent
is
random,
concluded
inflow
Ukrainian
refugees
most
likely
caused
it.
Land,
Год журнала:
2022,
Номер
11(11), С. 2100 - 2100
Опубликована: Ноя. 21, 2022
Machine
learning
algorithms
are
being
used
for
multiple
real-life
applications
and
in
research.
As
a
consequence
of
digital
technology,
large
structured
georeferenced
datasets
now
more
widely
available,
facilitating
the
use
these
to
analyze
identify
patterns,
as
well
make
predictions
that
help
users
decision
making.
This
research
aims
best
machine
predict
house
prices,
quantify
impact
COVID-19
pandemic
on
prices
Spanish
city.
The
methodology
addresses
phases
data
preparation,
feature
engineering,
hyperparameter
training
optimization,
model
evaluation
selection,
finally
interpretation.
Ensemble
based
boosting
(Gradient
Boosting
Regressor,
Extreme
Gradient
Boosting,
Light
Machine)
bagging
(random
forest
extra-trees
regressor)
compared
with
linear
regression
model.
A
case
study
is
developed
microdata
real
estate
market
Alicante
(Spain),
before
after
declaration
derived
from
COVID-19,
together
information
other
complementary
sources
such
cadastre,
socio-demographic
economic
indicators,
satellite
images.
results
show
perform
better
than
traditional
models
because
they
adapted
nonlinearities
complex
data.
Algorithms
overfitting
problems
those
have
performance
lower
overfitting.
contributes
literature
by
one
first
studies
explore
incidence
prices.
Habitat International,
Год журнала:
2022,
Номер
125, С. 102582 - 102582
Опубликована: Май 18, 2022
Over
time,
neighbourhoods
experience
different
types
of
change.
Neighbourhood
change
is
a
spatiotemporal
process
that
involves
analysing
how
attributes
location
over
time.
In
this
article,
we
explore
the
capability
short-term
property
rental
data
to
identify
where
occurring.
The
article
focuses
on
relationship
between
from
Airbnb
platform
and
gentrification.
Through
study
in
Dublin,
Ireland,
was
analysed
using
state-of-the-art
Emerging
Hotspot
Analysis
locations
with
high
potential
gentrification
areas
have
undergone
recent
development.
identified
by
method
are
correlated
neighbourhood
described
other
literature.
approach
reveals
more
about
locational
changes
city
than
methods,
which
focus
only
one
component,
such
as
space
or
highlights
importance
access
real
estate
market
data,
market,
extract
occurring
neighbourhoods.
results
contribute
discourse
impacts
cities
can
be
used
policymakers,
observers,
citizens
motivate
distribution
services.
question
whether
came
first
remains
an
open
one.
Cities,
Год журнала:
2023,
Номер
137, С. 104245 - 104245
Опубликована: Март 14, 2023
Converting
residential
housing
into
short-term
rentals
(STRs),
through
platforms
such
as
Airbnb,
has
become
a
very
profitable
business,
and
tourist-led
rentier
class
been
formed
in
connection
with
this
activity.
However,
the
pandemic
stalled
process
STRs
began
to
be
listed
on
rental
platforms.
Our
paper
questions
whether
these
have
actually
returned
market.
research
shows
how
fostered
what
we
term
emergence
of
digital
polyplatform
rentierism
hybridisation
markets.
This
amplifies
exchange
value
owners'
future
expectations
profits,
enhancing
opportunities
means
for
financialization
housing.
For
tenants,
model
produces
neoliberal
tenant
dystopia:
supply
is
reduced
power
dynamic
between
owners
tenants
altered,
former
empowered
latter
weakened.
Consequently,
without
stricter
public
policy
protect
right
live
city,
platformisation
will
result
less
stable
affordable
prices,
thereby
fostering
precarity
impoverishment.
Land Use Policy,
Год журнала:
2022,
Номер
120, С. 106226 - 106226
Опубликована: Июнь 14, 2022
Accurate
house
price
indexes
allow
governments
and
planners
to
make
more
effective
decisions
with
regard
land
use
policy.
We
compare
different
ways
of
computing
for
Warsaw
over
the
period
2006–2018
using
a
detailed
micro-level
dataset
101,182
transactions.
find
that
when
hedonic
approach
is
used,
resulting
index
reasonably
robust
choice
method.
More
problematic
repeat-sales
method,
which
widely
used
in
US.
are
unreliable,
affected
by
sample-selection
bias,
prone
significant
revisions
new
periods
added
dataset.
Even
approach,
method
can
become
important
smaller
datasets.
In
such
cases,
time
dummy
rolling
methods
tend
perform
better
than
repricing,
imputation
average
characteristics
methods.
comparison
produced
National
Bank
Poland
(NBP),
we
2006–7
prices
did
not
rise
as
much,
while
since
end
2012
have
risen
faster
indicated
NBP
index.
attribute
these
differences
combination
(we
time-dummy
uses
repricing
method)
datasets
(the
smaller,
especially
earlier
years
sample).
Highlights in Science Engineering and Technology,
Год журнала:
2023,
Номер
47, С. 16 - 23
Опубликована: Май 11, 2023
This
review
paper
examines
the
topic
of
descriptive
statistics,
which
is
a
study
deriving
from
basic
mathematics.
The
discusses
common
statistics
using
combination
numerical
examples
and
graphical
demonstrations.
introduces
definitions
some
their
corresponding
formulas.
then
reviews
several
research
articles
published
in
recent
years
researchers
have
used
to
help
analyze
housing
prices
relationship
between
stock
market
trust.
consults
tables
other
with
uses
specific
data
demonstrate
how
these
draw
meaningful
conclusions
about
subjects
analysis.
final
conclusion
that
although
simple
method
summarizing
data,
it
fundamental
statistical
analysis
can
be
as
building
block
on
further
based.
