Revealing the differences in bicycle theft and motorcycle theft: spatial patterns and contributing factors
Humanities and Social Sciences Communications,
Год журнала:
2025,
Номер
12(1)
Опубликована: Фев. 9, 2025
Язык: Английский
Perception of urban street visual color environment based on the CEP-KASS framework
Landscape and Urban Planning,
Год журнала:
2025,
Номер
259, С. 105359 - 105359
Опубликована: Апрель 9, 2025
Язык: Английский
Mapping the Impact of Spontaneous Streetscape Features on Social Sensing in the Old City of Quanzhou, China: Based on Multisource Data and Machine Learning
Buildings,
Год журнала:
2025,
Номер
15(9), С. 1522 - 1522
Опубликована: Май 1, 2025
Streetscapes
in
old
urban
areas
are
not
only
an
important
carrier
to
show
regional
economies
and
city
style,
but
also
closely
correlate
residents’
everyday
life
the
hustle
bustle
which
they
live.
Nevertheless,
previous
studies
have
either
focused
on
a
few
examples
with
low-throughput
surveys
or
lacked
specific
consideration
of
spontaneous
features
data-driven
explorations.
Furthermore,
impact
streetscape
diversified
social
sensing
has
rarely
been
examined.
This
paper
combined
mobile
collection
street
view
images
(SVIs)
machine
learning
algorithm
calculate
eight
types
elements
integrated
two
online
platforms
(Dianping
Sina
Weibo)
map
distribution
economic
vitality
media
perception,
respectively.
Then,
through
comparing
multiple
regression
models,
impacts
characteristics
were
revealed.
The
results
include
following
aspects:
(1)
overall,
certain
similarity
both
dimensions
Quanzhou,
significant
clustering
transitional
trends
strong
spatial
heterogeneity;
(2)
specifically,
can
be
divided
into
three
categories,
given
differentiated
roles
significantly
positive,
negative,
polarizing
results.
For
example,
proper
use
open-interface
storefronts,
ads,
banners
is
consistent
common
suggestions,
while
excessive
pursuit
interface
diversity
cultural
may
bring
ambiguous
effect.
provides
transferable
analytical
framework
for
mixed
regeneration
potentially
inspire
related
decisionmakers
adopt
more
refined
low-cost
approach
enhance
sustainability.
Язык: Английский
Comparing effectiveness of point of interest data and land use data in theft crime modelling: A case study in Beijing
Land Use Policy,
Год журнала:
2024,
Номер
147, С. 107357 - 107357
Опубликована: Сен. 17, 2024
Язык: Английский
Interpretable spatial machine learning for understanding spatial heterogeneity in factors affecting street theft crime
Applied Geography,
Год журнала:
2024,
Номер
175, С. 103503 - 103503
Опубликована: Дек. 27, 2024
Язык: Английский
Exploring the Complex Association Between Urban Built Environment, Sociodemographic Characteristics and Crime: Evidence from Washington, D.C.
Land,
Год журнала:
2024,
Номер
13(11), С. 1886 - 1886
Опубликована: Ноя. 11, 2024
The
urban
built
environment
and
sociodemographic
characteristics
have
complex
relationships
with
crime.
However,
previous
studies
had
limitations
such
as
generalizing
green
space
types,
functionality,
characteristics.
Given
these,
this
study
aimed
to
explore
the
relationship
between
them
using
more
detailed
indicators.
utilized
Google
Street
View
points
of
interest
depict
environment.
Building
on
work
that
segmented
natural
artificial
elements
in
streetscape
images,
further
distinguished
trees,
bush,
grass.
Additionally,
it
incorporated
data
from
Data
Analysis
Visualization
Unit
DC
Office
Planning
reflect
a
broader
range
individual
Weighted
least
squares
regression
Pearson
correlation
analysis
were
used
test
environment,
sociodemographic,
crime,
respectively.
Some
key
findings
are
follows.
(1)
Trees,
bushes,
grass
all
reduce
(2)
Urban
functionality
is
hard
curb
crime
by
enhancing
informal
public
surveillance.
(3)
Among
variables,
walking
commute
rate
variable
most
strongly
positively
correlated
(4)
Family
play
an
important
role
suppressing
This
examined
comprehensive
indicators
affecting
favor
safer
cities.
Язык: Английский