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Author |
Pandharipande, A.; Ramasamy, S.; Anderson, J. |
Title |
Social Impact of Connected Landmark Lighting: A Social Sensing Approach |
Type |
Journal Article |
Year  |
2020 |
Publication |
IEEE Internet of Things Magazine |
Abbreviated Journal |
IEEE Internet Things M. |
Volume |
3 |
Issue |
1 |
Pages |
64-67 |
Keywords |
Lighting; Society |
Abstract |
The benefits of using light emitting diode (LED) lighting for landmarks extend beyond energy savings to the use of illumination for creating visual identity, placemaking, and increasing tourism. While measuring energy consumption is possible with metering technologies, thereby quantifying savings in energy costs, quantification of the social impact of landmark lighting is not straightforward. Measuring and monitoring social impact metrics is key to stakeholders investing in new connected LED lighting systems or upgrades of conventional lighting in order to realize the benefits of lighting that are beyond energy sustainability. We consider social sensing as an approach to quantifying social impact of landmark lighting. Using lighting at the Empire State Building and Bay Bridge as case studies, social sensing querying and data analytics aspects are presented. A number of practical lessons and technical directions for the use of social sensing in connected landmark lighting are then laid out. |
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2576-3180 |
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GFZ @ kyba @ |
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2881 |
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Author |
Komine, H.; Koike, S.; Schwarzkopf, L. |
Title |
Impacts of artificial light on food intake in invasive toads |
Type |
Journal Article |
Year  |
2020 |
Publication |
Scientific Reports |
Abbreviated Journal |
Sci Rep |
Volume |
10 |
Issue |
1 |
Pages |
6527 |
Keywords |
Animals |
Abstract |
Artificial light at night (ALAN) is a major form of anthropogenic disturbance. ALAN attracts nocturnal invertebrates, which are a food source for nocturnal predators, including invasive species. Few studies quantify the effects of increased food availablity by ALAN on invasive vertebrate predators, and enhancement of food intake caused by ALAN may also be influenced by various environmental factors, such as proximitity to cities, moon phase, temperature, rainfall and wind speed. Revealing the potential impacts on invasive predators of ALAN-attracted invertebrates, and the influence of other factors on these effects, could provide important insights for the management of these predators. We constructed and supplied with artificial light field enclosures for invasive toads, and placed them at locations with different levels of ambient light pollution, in northeastern Australia. In addition, we determined the effect of rainfall, temperature, wind speed, and lunar phase on food intake in toads. We found that ALAN greatly increased the mass of gut contents of invasive toads compared to controls, but that the effect was increased in dark lunar phases, and when there were low ambient light pollution levels. Effects of rainfall, temperature and wind speed on food intake were comparatively weak. To avoid providing food resources to toads, management of ALAN in rural areas, and during dark lunar phases may be advisable. On the contrary, to effectively capture toads, trapping using lights as lures at such times and places should be more successful. |
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College of Science and Engineering, Centre for Biodiversity & Climate Change, James Cook University, Townsville, 4811, Australia |
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English |
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2045-2322 |
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PMID:32300179 |
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no |
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GFZ @ kyba @ |
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2882 |
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Author |
Eberenz, S.; Stocker, D.; Röösli, T.; Bresch, D.N. |
Title |
Asset exposure data for global physical risk assessment |
Type |
Journal Article |
Year  |
2020 |
Publication |
Earth System Science Data |
Abbreviated Journal |
Earth Syst. Sci. Data |
Volume |
12 |
Issue |
2 |
Pages |
817-833 |
Keywords |
Economics |
Abstract |
One of the challenges in globally consistent assessments of physical climate risks is the fact thatasset exposure data are either unavailable or restricted to single countries or regions. We introduce a globalhigh-resolution asset exposure dataset responding to this challenge. The data are produced using “lit population”(LitPop), a globally consistent methodology to disaggregate asset value data proportional to a combination ofnightlight intensity and geographical population data. By combining nightlight and population data, unwantedartefacts such as blooming, saturation, and lack of detail are mitigated. Thus, the combination of both data typesimproves the spatial distribution of macroeconomic indicators. Due to the lack of reported subnational assetdata, the disaggregation methodology cannot be validated for asset values. Therefore, we compare disaggregatedgross domestic product (GDP) per subnational administrative region to reported gross regional product (GRP)values for evaluation. The comparison for 14 industrialized and newly industrialized countries shows that thedisaggregation skill for GDP using nightlights or population data alone is not as high as using a combinationof both data types. The advantages of LitPop are global consistency, scalability, openness, replicability, and lowentry threshold. The open-source LitPop methodology and the publicly available asset exposure data offer valuefor manifold use cases, including globally consistent economic disaster risk assessments and climate changeadaptation studies, especially for larger regions, yet at considerably high resolution. The code is published onGitHub as part of the open-source software CLIMADA (CLIMate ADAptation) and archived in the ETH DataArchive with the link https://doi.org/10.5905/ethz-1007-226 (Bresch et al., 2019b). The resulting asset exposuredataset for 224 countries is archived in the ETH Research Repository with the link https://doi.org/10.3929/ethz-b-000331316 (Eberenz et al., 2019). |
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1866-3516 |
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GFZ @ kyba @ |
Serial |
2883 |
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Author |
Svechkina, A.; Trop, T.; Portnov, B.A. |
Title |
How Much Lighting is Required to Feel Safe When Walking Through the Streets at Night? |
Type |
Journal Article |
Year  |
2020 |
Publication |
Sustainability |
Abbreviated Journal |
Sustainability |
Volume |
12 |
Issue |
8 |
Pages |
3133 |
Keywords |
Public Safety; Security |
Abstract |
Public space lighting (PSL) is indispensable after the natural dark. However, little is known about how much PSL people actually need to feel sufficiently safe in different real-world urban settings. The present study attempts to answer this question by employing a novel real-time interactive approach, according to which, observers use a specially-designed mobile phone application to assess and report the perceived attributes of street lighting and the feeling of safety (FoS) it generates. To validate the proposed approach, a systematic survey was conducted in three cities in Israel—Tel Aviv-Yafo and Haifa, which lie on the Mediterranean coast, and Be’er Sheba, which lies inland. Additionally, instrumental PSL measurements were performed at the same locations. As the study reveals, the necessary level of illumination required by urban residents to feel safe differs by city and is significantly higher in Be’er Sheba, other factors held equal, in compare to Haifa and Tel Aviv-Yafo. This difference may be attributed to stronger daylight that the residents of the desert city of Be’er Sheba are accustomed to, and, therefore, may prefer stronger nighttime illumination. The difference could also be related to the relatively low socio-economic status and somewhat higher crime rates in the latter city. Findings also show a significant and positive association between FoS and instrumentally measured PSL levels, although this association exhibits diminishing returns. To the best of our knowledge, the present study is the first to use an interactive location- and time-based mobile phone technology, which can potentially provide more accurate and reliable assessments, compared to traditional “pen and paper” survey techniques. |
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2071-1050 |
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GFZ @ kyba @ |
Serial |
2884 |
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Author |
Shier, D.M.; Bird, A.K.; Wang, T.B. |
Title |
Effects of artificial light at night on the foraging behavior of an endangered nocturnal mammal |
Type |
Journal Article |
Year  |
2020 |
Publication |
Environmental Pollution |
Abbreviated Journal |
Environmental Pollution |
Volume |
in press |
Issue |
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Pages |
in press |
Keywords |
Animals |
Abstract |
Modification of nighttime light levels by artificial illumination (artificial light at night; ALAN) is a rapidly increasing form of human disturbance that affects natural environments worldwide. Light in natural environments influences a variety of physiological and ecological processes directly and indirectly and, as a result, the effects of light pollution on species, communities and ecosystems are emerging as significant. Small prey species may be particularly susceptible to ALAN as it makes them more conspicuous and thus more vulnerable to predation by visually oriented predators. Understanding the effects of disturbance like ALAN is especially important for threatened or endangered species as impacts have the potential to impede recovery, but due to low population numbers inherent to at-risk species, disturbance is rarely studied. The endangered Stephens’ kangaroo rat (SKR), Dipodomys stephensi, is a nocturnal rodent threatened by habitat destruction from urban expansion. The degree to which ALAN impacts their recovery is unknown. In this study, we examined the effects of ALAN on SKR foraging decisions across a gradient of light intensity for two types of ALAN, flood and bug lights (756 vs 300 lumen, respectfully) during full and new moon conditions. We found that ALAN decreased probability of resource patch depletion compared to controls. Moreover, lunar illumination, distance from the light source and light type interacted to alter SKR foraging. Under the new moon, SKR were consistently more likely to deplete patches under control conditions, but there was an increasing probability of patch depletion with distance from the source of artificial light. The full moon dampened SKR foraging activity and the effect of artificial lights. Our study underscores that ALAN reduces habitat suitability, and raises the possibility that ALAN may impede the recovery of at-risk nocturnal rodents. |
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0269-7491 |
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GFZ @ kyba @ |
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2885 |
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