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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Weather factor dummy variable.

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