Research on Comfort Evaluation Model of Urban Residents’ Public Space Lighting Integrating Public Perception and Nighttime Light Remote Sensing Data

Abstract

With the development of a sustainable lifestyle, people are paying more and more attention to the comfort of their own living environment, including public space lighting, which is immediately accessible to residents. The demand on its quality and comfort has thus gained attention recently. However, there is still a lack of related research on public space lighting comfort evaluation models that combine nighttime light remote sensing data and field measurement data, and link lighting attributes with the comfort of residents. This research uses nighttime light remote sensing data to select typical test areas, measures the lighting data of the survey points on the spot, develops an intelligent WeChat applet that collects public perception data, analyzes different lighting parameters, and builds a public space lighting comfort model based on the structural equation model analysis method. The results show that the factor that the areas with high light intensity are more comfortable than the areas with low light intensity. In areas with high light intensity, people pay more attention to the uniformity, security and comfort of the light, while in areas with low light intensity or high blue light, people’s perception of glare will be more obvious. This research can provide a basis for the intelligent optimization of public space lighting from the perspective of public preference.

Color Night Light Remote Sensing Images Generation Using Dual-Transformation

“…One-dimensional wavelet decomposition is obtained for high-frequency component W and low-frequency component L in the horizontal direction. Two-dimensional wavelet decomposition is obtained for low-frequency and highfrequency components in the horizontal and vertical directions [28,29], as expressed in Equations ( 5) and (6). Equation ( 5) denotes the coefficient matrix of wavelet decomposi-tion, and the values reflect the weight distribution of the different frequency components.…”

“…where I F denotes the fused image and I W denotes the source image. (6) The correlation coefficient (CC) indicates the correlation between the fused and source images [43]; the closer the value of the correlation coefficient to 1, the greater the correlation. It can be expressed as follows:…”

“…[1][2][3][4][5]. Current research on night light image processing focuses on the integration of Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and National Polar-orbiting Partnership/Visible Infrared Imaging Radiometer (NPP/VIIRS) night light images to obtain high temporal resolution night images [6]. LuoJia1-01, the first visible hyper-spectral and nocturnal multi-spectral multi-mode programmable micronanosatellite in orbit in China [7], has overcome the limitations of traditional nocturnal remote sensing images (i.e., black and white images with low resolution) and provides a new perspective and data source for small-scale urban development research [8].…”

Evaluation and Optimization of Sense of Security during the Day and Night in Campus Public Spaces Based on Physical Environment and Psychological Perception

“…Users' perceptions of the safety of campus public spaces are multifaceted, influenced by both physical environmental characteristics and individual psychological factors. Synthesizing the relevant literature [53][54][55], this study's selection criteria for evaluation factors are as follows: (1) Relevance: The chosen evaluation factors should tangibly impact the sense of security among faculty and students in public spaces. (2) Perceptibility: The selected evaluations should, to some extent, be perceivable by users, ensuring that the assessment considers actual subjective experiences.…”

“…Visual perception Brightness A well-lit environment tends to evoke positive feelings, whereas a dim environment elicits the opposite. The brightness of public spaces can significantly influence the psychological perception of the space [54], which is an important factor in assessing the sense of security within the space.…”