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Author Liu, J.; Cai, J.; Lin, S.; Zhao, J.
Title Analysis of Factors Affecting a Driver’s Driving Speed Selection in Low Illumination Type Journal Article
Year 2020 Publication Journal of Advanced Transportation Abbreviated Journal Journal of Advanced Transportation
Volume 2020 Issue Pages Article ID 2817801
Keywords Public Safety
Abstract To better understand a driver’s driving speed selection behaviour in low illumination, a self-designed questionnaire was applied to investigate driving ability in low illumination, and the influencing factors of low-illumination driving speed selection behaviour were discussed from the driver’s perspective. The reliability and validity of 243 questionnaires were tested, and multiple linear regression was used to analyse the comprehensive influence of demographic variables, driving speed in a low-illumination environment with street lights and driving ability on speed selection behaviour in low illumination without street lights. Pearson’s correlation test showed that there was no correlation among age, education, accidents in the past 3 years, and speed selection behaviour in low illumination, but gender, driving experience, number of night-driving days per week, and average annual mileage were significantly correlated with speed selection behaviour. In a low-illumination environment, driving ability has a significant influence on a driver’s speed selection behaviour. Technical driving ability under low-illumination conditions of street lights has the greatest influence on speed selection behaviour on a road with a speed limit of 120 km/h (β = 0.51). Risk perception ability has a significant negative impact on speed selection behaviour on roads with speed limits of 80 km/h and 120 km/h (β = −0.25 and β = −0.34, respectively). Driving speed in night-driving environment with street lights also has a positive influence on speed selection behaviour in low illumination (β = 0.61; β = 0.28; β = 0.37).
Address
Corporate Author (up) Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0197-6729 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2913
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Author Raynham, P.; Unwin, J.; Khazova, M.; Tolia, S.
Title The role of lighting in road traffic collisions Type Journal Article
Year 2020 Publication Lighting Research & Technology Abbreviated Journal Lighting Research & Technology
Volume 52 Issue 4 Pages 485-494
Keywords Public Safety
Abstract The paper reports a study that examines how to determine if a road traffic collision took place in daylight or in the dark. An innovative method was developed, based on solar altitude, to establish cut-off points of daylight and darkness determined from a study of daylight availability in England, Scotland and Wales. This approach provides a rigorous method to differentiate daytime and night-time collisions. The criteria were used in a study of the collisions reported in the STATS19 data set for the weeks either side of the clock changes that are necessary between Greenwich Mean Time and British Summer Time. By comparing periods with the same clock time either side of the time change, using the aforementioned method, it was possible to isolate collisions within the same time period that during one week occurred in darkness and in the other week in daylight. The initial finding was that there are 19.3% more collisions in the dark periods and there is an even greater increase (31.7%) in pedestrian injuries.
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Corporate Author (up) Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1477-1535 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2991
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Author He, L.; Páez, A.; Jiao, J.; An, P.; Lu, C.; Mao, W.; Long, D.
Title Ambient Population and Larceny-Theft: A Spatial Analysis Using Mobile Phone Data Type Journal Article
Year 2020 Publication ISPRS International Journal of Geo-Information Abbreviated Journal Ijgi
Volume 9 Issue 6 Pages 342
Keywords Remote Sensing; Public Safety
Abstract In the spatial analysis of crime, the residential population has been a conventional measure of the population at risk. Recent studies suggest that the ambient population is a useful alternative measure of the population at risk that can better capture the activity patterns of a population. However, current studies are limited by the availability of high precision demographic characteristics, such as social activities and the origins of residents. In this research, we use spatially referenced mobile phone data to measure the size and activity patterns of various types of ambient population, and further investigate the link between urban larceny-theft and population with multiple demographic and activity characteristics. A series of crime attractors, generators, and detractors are also considered in the analysis to account for the spatial variation of crime opportunities. The major findings based on a negative binomial model are three-fold. (1) The size of the non-local population and people’s social regularity calculated from mobile phone big data significantly correlate with the spatial variation of larceny-theft. (2) Crime attractors, generators, and detractors, measured by five types of Points of Interest (POIs), significantly depict the criminality of places and impact opportunities for crime. (3) Higher levels of nighttime light are associated with increased levels of larceny-theft. The results have practical implications for linking the ambient population to crime, and the insights are informative for several theories of crime and crime prevention efforts.
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Corporate Author (up) Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2220-9964 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2997
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Author Schröter-Schlaack, C.; Schulte-Römer, N.; Revermann, C.
Title Lichtverschmutzung – Ausmaß, gesellschaftliche und ökologische Auswirkungen sowie Handlungsansätze Type Report
Year 2020 Publication Abbreviated Journal
Volume 186 Issue Pages 1-200
Keywords Review; Skyglow; Ecology; Human Health; Lighting; Public Safety; Remote Sensing
Abstract Künstliches Licht kann als eine der größten technischen Errungenschaften der Menschheit angesehen werden, die erhebliche Veränderungen bzw. Fortschritte der Arbeits- und Lebensweisen ermöglichen. Mit künstlicher Beleuchtung wird aber auch der natürliche Rhythmus von Tag und Nacht verändert und damit das Gesamtgefüge des Naturhaushaltes und der Nachtlandschaft transformiert. Ein natürlich dunkler Nachthimmel ist in Deutschland selten geworden. Licht-glocken über urbanen Gebieten sind weit weg von ihrem Entstehungsort in unbeleuchteten Gebieten noch sichtbar und lassen Sterne und die Milchstraße unkenntlich werden. Nicht nur das direkte elektrische Licht erleuchtet unsere Umwelt, sondern auch der nach oben abgestrahlte und reflektierte Teil des Lichts. Schichten der Atmosphäre, Staub oder Wassertropfen reflektieren und streuen das Licht. Dieser auch als Skyglow bezeichnete Effekt bewirkt eine zusätzliche Erhellung. Neben dieser künstlich erhöhten Himmelshelligkeit kann Licht auch die direkte Umgebung ungewollt aufhellen oder durch Blendung das Sehen einschränken. Licht ist ein wichtiger externer Zeitgeber für die innere Uhr der Lebewesen, an dessen natürlichen Rhythmus sich Menschen, Tiere und Pflanzen über Jahrhunderte angepasst haben. So wird vermutet, dass die permanent und periodisch veränderten Lichtverhältnisse durch zunehmende künstliche Beleuchtung negative Auswirkungen auf die menschliche Gesundheit haben und ebenso zu ökologischen Beeinträchtigungen führen.All diese nichtintendierten Wirkungen der künstlichen Beleuchtung werden unter dem Sammelbegriff Lichtverschmutzung verstanden. Lichtverschmutzung ist hier definiert als unerwünschte Wirkung künstlicher Beleuchtung im Außenbereich, also das Licht, das räumlich (Richtung und Fläche), zeitlich (Tages- und Jahreszeit, Dauer, Periodizität) oder in der Intensität oder spektralen Zusammensetzung (z.B. Ultraviolett- oder Blauanteil) über den reinen Beleuchtungszweck hinaus nicht beabsichtigte Auswirkungen hat (Kuechly et al. 2018). Mit dem vorliegenden Bericht werden der wissenschaftliche Erkenntnis-stand im Hinblick auf Umfang und Trends der Lichtverschmutzung sowie ihre wirtschaftlichen und soziokulturellen, humanmedizinischen und ökologischen Wirkungen zusammengefasst. Auf Basis dieser Erkenntnisse und aktueller beleuchtungstechnologischer und lichtplanerischer Möglichkeiten werden Handlungsoptionen abgeleitet, die eine Verringerung der Lichtverschmutzung bei gleichzeitiger Berücksichtigung der nutzbringenden Ziele der Beleuchtung unterstützen können.
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Corporate Author (up) Thesis
Publisher Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag (TAB) Place of Publication Editor
Language German Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3058
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Author Liu, L.; Zhou, H.; Lan, M.; Wang, Z.
Title Linking Luojia 1-01 nightlight imagery to urban crime Type Journal Article
Year 2020 Publication Applied Geography Abbreviated Journal Applied Geography
Volume 125 Issue Pages 102267
Keywords Public Safety; Remote Sensing
Abstract Various environmental criminology theories and empirical studies have linked the urban environment to crime. The crime pattern theory, in particular, argues that edges, either social or physical, affect crime. A recent study has combined both social and physical edges to derive composite edges. A composite edge index measured by NPP-VIIRS satellite nightlights at the census tract level is found to be related to street robbery and burglary. Nightlight images of Luojia 1-01, launched in June 2018, have a much higher spatial resolution than that of NPP-VIIRS. This study applies Luojia 1-01 nightlight data to measure composite edges by nightlight gradients at the smaller census block group level. The effects of the composite edges on street robbery and burglary are explored by negative binomial models. Results show that composite edges measured by Luojia 1-01 nightlight data improve the fitness of models noticeably on street robbery but not on burglary. Nightlight gradients make a statistically significant and positive impact on the street robbery rate, but an insignificant and negative impact on the burglary rate. Furthermore, the composite edge effect on street robbery is more substantial than that on burglary. In sum, this study provides evidence that Luojia 1-01 nightlight imagery can help explain crime at the aggregated block group level, but its impact on crime varies by crime type.
Address
Corporate Author (up) Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0143-6228 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 3112
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