2022
DOI: 10.1016/j.envpol.2022.119719
|View full text |Cite
|
Sign up to set email alerts
|

Tracing out the effect of transportation infrastructure on NO2 concentration levels with Kernel Density Estimation by investigating successive COVID-19-induced lockdowns

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(2 citation statements)
references
References 69 publications
0
2
0
Order By: Relevance
“…Kernel density estimation is less dependent on model and research duration and has good statistical properties. Therefore, it has been widely applied in the analysis of spatial disequilibrium distributions [46]. The spatial and temporal evolution trend of the development level in each subsystem of tourism public services is shown by drawing the Kernel density estimation map.…”
Section: Kernel Density Estimationmentioning
confidence: 99%
“…Kernel density estimation is less dependent on model and research duration and has good statistical properties. Therefore, it has been widely applied in the analysis of spatial disequilibrium distributions [46]. The spatial and temporal evolution trend of the development level in each subsystem of tourism public services is shown by drawing the Kernel density estimation map.…”
Section: Kernel Density Estimationmentioning
confidence: 99%
“…Increases in temperature have been observed in the context of climate change, e.g., the global surface temperature increased by 1.1°C (2011–2020 compared to 1850–1900) (IPCC 2022 ). Anthropogenic activity and related changes in the surface of the earth contribute to changes in climatic conditions and are key drivers of air pollutant concentrations (Fritsch and Behm 2021a ; Kovács and Haidu 2022 ). Therefore, urban areas can be regarded as “harbingers” of climate change (Ziska et al 2003 ) and urban–rural gradients are useful for studying ecological changes.…”
Section: Introductionmentioning
confidence: 99%