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Author Debbich, M. url  openurl
  Title Assessing Oil and Non-Oil GDP Growth from Space: An Application to Yemen 2012-17 Type Journal Article
  Year 2019 Publication International Monetary Fund Abbreviated Journal  
  Volume 19 Issue 221 Pages  
  Keywords Economics; Remote Sensing  
  Abstract This paper uses an untapped source of satellite-recorded nightlights and gas flaring data to characterize the contraction of economic activity in Yemen throughout the ongoing conflict that erupted in 2015. Using estimated nightlights elasticities on a sample of 72 countries for real GDP and 28 countries for oil GDP over 6 years, I derive oil and non-oil GDP growth for Yemen. I show that real GDP contracted by a cumulative 24 percent over 2015-17 against 50 percent according to official figures. I also find that the impact of the conflict has been geographically uneven with economic activity contracting more in some governorates than in others.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2721  
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Author Bickenbach, F. url  openurl
  Title Night Lights and Regional Type Journal Article
  Year 2014 Publication Kiel Institute for the World Economy Abbreviated Journal IFW  
  Volume 1888 Issue Pages  
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  Notes Approved no  
  Call Number LoNNe @ kagoburian @ Serial 996  
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Author Xu, P.; Jin, P.; Cheng, Q. url  doi
openurl 
  Title Monitoring Regional Urban Dynamics Using DMSP/OLS Nighttime Light Data in Zhejiang Province Type Journal Article
  Year 2020 Publication Mathematical Problems in Engineering Abbreviated Journal Mathematical Problems in Engineering  
  Volume 2020 Issue Pages 1-10  
  Keywords Remote Sensing  
  Abstract Accurate monitoring of urban regions and urban sprawls is critical to the detection and assessment of regional development. The nighttime light images of Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) provide us direct solutions to make spatial descriptions of urban regions. Unfortunately, accurate monitoring of urban regions is apt to be hampered due to the shortages of the DMSP/OLS data. In this study, we utilized a new urban region extraction strategy based on the edge-detection method which is widely applied in automatic digital image processing. The edges of urban areas in Zhejiang province were identified based on the distributions and values of pixels. Compared with other traditional methods, the urban regions extracted in this study present a higher overall accuracy and kappa coefficient (OA = 93.1409%; Kappa = 0.8755). Two periods of the urban dynamic process and urban sprawl pattern in Zhejiang from 1992–2013 were further detected by the proposed method. At city level, the drastic increase in urban areas was found in cities of Hangzhou and Ningbo. This study provides an objective and convenient solution to the accurate identification of urban regions, which is also an important step to better understand the urban dynamics and urban development.  
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  ISSN 1024-123X ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2979  
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Author Liu, J.; Cai, J.; Lin, S.; Zhao, J. url  doi
openurl 
  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).  
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  ISSN 0197-6729 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2913  
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Author Desaulniers, J.; Desjardins, S.; Lapierre, S.; Desgagné, A. url  doi
openurl 
  Title Sleep Environment and Insomnia in Elderly Persons Living at Home Type Journal Article
  Year 2018 Publication Journal of Aging Research Abbreviated Journal Journal of Aging Research  
  Volume 2018 Issue Pages 1-7  
  Keywords Human Health  
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  ISSN 2090-2204 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2016  
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