Quantifying the influence of urban sources on night light emissions
- Authors
- Cheon, SangHyun; Kim, Jung-A
- Issue Date
- Dec-2020
- Publisher
- ELSEVIER
- Keywords
- Light pollution; VIIRS; Urban land use; Urban built environment; Nightlight emissions
- Citation
- LANDSCAPE AND URBAN PLANNING, v.204
- Journal Title
- LANDSCAPE AND URBAN PLANNING
- Volume
- 204
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/11442
- DOI
- 10.1016/j.landurbplan.2020.103936
- ISSN
- 0169-2046
- Abstract
- Light pollution in urban locations is a complex, serious problem, but researchers have paid more attention to light pollution on natural, non-urban environments. Understanding the sources of artificial light radiance in-tensity is the first step in minimizing damage from light pollution in urban areas. The purpose of this study is to quantitatively examine the relationship between light pollution and urban built environments. We developed databases for a series of urban-built environment data with composite Visible Infrared Imaging Radiometer Suite day-night band (VIIRS-DNB) data from the Earth Observation Group of the United States National Oceanic Atmospheric Administration's National Geophysical Data Center to apply regression models (production functions) with grid cells at a spatial resolution of 15 arc seconds. Based on the results, we identified urban -development and land-use characteristics and built-environment factors that caused high levels of light emissions in a city. First, high levels of light emissions are associated with urban spatial-development patterns, such as roads, office buildings, commercial facilities, higher proportions of "station influence areas," and urban-development intensity. Second, more seriously, the infiltration of commercial facilities into urban residential areas makes them brighter and increases the risk of exposure to light pollution. Therefore, the development of commercial areas and commercial facilities that emit light should be properly managed, especially for areas mixed with residential land use. Third, our quantitative model with intra-city-level analyses can estimate a high level of the baseline light-emission propensity in Seoul, which indicates that a city's light-emission intensity can be highly associated with its sociocultural and institutional characteristics for lighting and light uses.
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