2023
DOI: 10.3390/rs15092305
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Research Progress, Hotspots, and Evolution of Nighttime Light Pollution: Analysis Based on WOS Database and Remote Sensing Data

Abstract: With the rapid development of the global economy, the over-expansion of outdoor artificial light at night (ALAN) in cities has led to increasingly severe light pollution worldwide. More and more studies have paid attention to the problem of light pollution, but there is still a lack of systematic literature review on nighttime light pollution in terms of research progress, hotspots, and its evolutions. For this purpose, this study firstly analyzed current research actuality and trends about nighttime light pol… Show more

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Cited by 7 publications
(2 citation statements)
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“…Based on the Spatial method of Beijing GDP based on NPP-VIIRS night light data [3][4] [5], The weight of the regional average light intensity is determined as 0.8, and the weight of the regional light area index is determined as 0.2. The regional average light intensity (Mj) is…”
Section: Construct the Night Light Indexmentioning
confidence: 99%
“…Based on the Spatial method of Beijing GDP based on NPP-VIIRS night light data [3][4] [5], The weight of the regional average light intensity is determined as 0.8, and the weight of the regional light area index is determined as 0.2. The regional average light intensity (Mj) is…”
Section: Construct the Night Light Indexmentioning
confidence: 99%
“…Although there are is lot of geographical research on the night economy, researchers are still mainly focused on alcohol and violence, such as the concentration of potential nighttime crime zones [10], the impact of the nighttime economy on sexual violence [11], the relationship between the nighttime economy and alcohol-related violence [12], the costs of alcohol-related violence [13], and the dominant role of university students in bars [14]. Other scholars focused on ecological issues arising from the rapid growth of the nighttime economy, such as "light pollution" [15]. Although some scholars began to shift their attention to the temporal and spatial distribution of the night economy, the inefficient survey data they used made the study area only the central urban area and the important night commercial district [16][17][18].…”
Section: Introductionmentioning
confidence: 99%