Weather factor dummy variable.

Weather factor dummy variable.

<div><p>This paper studies the parking demand characteristics of large commercial areas in the city’s central regions. The study uses non-parametric and semi-parametric analysis methods in survival analysis to explore if and how weather conditions, parking tariffs, and temporal factors (...

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Bibliographic Details
Main Author: Zhendong Sun (4723221) (author)
Other Authors: Jiangling Wu (11669178) (author), Feng Wang (44414) (author), Zhenzhong Tian (21500013) (author), Qiang He (30485) (author)
Published: 2025
Subjects:
Medicine
Sociology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
urban commercial areas
spatial capacity optimization
responsive pricing adjustments
relative risk curves
large commercial supermarket
large commercial areas
city &# 8217
6 %, whereas
vehicles departing decreased
3 %, respectively
study uses non
parking demand characteristics
vehicles departing increased
statistically significant impact
china </ p
parking tariffs demonstrated
different weather conditions
parametric analysis methods
factor analysis results
factor analysis based
001 ), weekends
001 ),
weather conditions
parking tariffs
parking increased
survival analysis
vehicles ending
3 %.
study area
parking duration
parking data
including weather
case study
xlink ">
temporal variations
temporal factors
sunny days
significantly influenced
short holidays
rainfall patterns
parametric multi
paper studies
one month
moderate rain
heavy rain
findings suggest
cumulative survival
central regions
approach suggests
05 ).
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