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Author Melville, H.I.A.S.; Conway, W.C.; Hardin, J.B.; Comer, C.E.; Morrison, M.L. url  doi
openurl 
  Title Abiotic variables influencing the nocturnal movements of bobcats and coyotes Type Journal Article
  Year 2020 Publication Wildlife Biology Abbreviated Journal Wildlife Biology  
  Volume (down) 2020 Issue 3 Pages  
  Keywords Animals; Moonlight  
  Abstract Despite the increasing spatial, temporal and dietary overlap between bobcats Lynx rufus and coyotes Canis latrans, these species live sympatrically throughout much of North America. To determine if differential activity patterns relative to abiotic variables might influence interspecific interactions, we investigated whether these species responded differentially to crepuscular and nocturnal abiotic variables in Texas. Using GPS collars, we calculated hourly movements from sequential locations, and compared bobcat and coyote movements relative to sex, season, moonlight intensity, night period, crepuscularity and temperature. We used generalized linear mixed effects models (GLMM) to investigate the responses of bobcats and coyotes to variables associated to their nocturnal movements. Temperature and its interactions with various abiotic variables influenced bobcat movements. Biological season and its interactions with other abiotic variables influenced coyote movements. Bobcats moved shorter hourly distances than coyotes. Female bobcats moved shorter hourly distances than males. Moonlight intensity seemed to influence coyotes but not bobcats. Differential movements between bobcats and coyotes relative to night period could possibly be due behavioral avoidance of coyotes by bobcats. Reduced crepuscular activity by coyotes may be behavioral avoidance of humans. Differential responses to nocturnal variables may dampen competitive interactions between bobcats and coyotes.  
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  Series Volume Series Issue Edition  
  ISSN 0909-6396 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3052  
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Author Lee, J.; Le, L.-T.; Le, H.-T.; Liao, H.-Y.; Huang, G.-Z.; Ma, H.-Y.; Wen, C.-C.; Fang, Y.C.; Chen, C.-H.; Chang, S.-H.; Lee, H.-Y. url  doi
openurl 
  Title Low-Glare Freeform-Surfaced Street Light Luminaire Optimization to Meet Enhanced Road Lighting Standards Type Journal Article
  Year 2020 Publication International Journal of Optics Abbreviated Journal International Journal of Optics  
  Volume (down) 2020 Issue Pages 1-12  
  Keywords Lighting  
  Abstract To enhance driving safety at night, a new freeform-surface street light luminaire was proposed and evaluated in this study that meets the requirements of the International Commission on Illumination (CIE) M3 class standard for road lighting. The luminaire was designed using simulations to optimize the location of the bulb according to the requirements of the standard. The light source IES file was experimentally obtained for the optimized luminaire prototype with a 150 W ceramic metal halide lamp using an imaging goniophotometer. The trial road lighting simulation results computed by the lighting software DIALux indicated that the proposed luminaire provided an average road surface brightness of 1.1 cd/m2 (compared to a minimum requirement of 1.0 cd/m2), a brightness uniformity of 0.41 (compared to a minimum requirement of 0.4), a longitudinal brightness uniformity of 0.64 (compared to a minimum requirement of 0.6), and a glare factor of 7.6% (compared to a maximum limit of 15%). The findings of the image goniophotometer tests were then confirmed by the results of a certified mirror goniophotometer test conducted by the Taiwan Accreditation Foundation (TAF). The results of this study can be used to provide improved street lighting designs to meet enhanced international standards.  
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  ISSN 1687-9384 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3103  
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Author Wang, J.; Qu, S.; Peng, K.; Feng, Y. url  doi
openurl 
  Title Quantifying Urban Sprawl and Its Driving Forces in China Type Journal Article
  Year 2019 Publication Discrete Dynamics in Nature and Society Abbreviated Journal Discrete Dynamics in Nature and Society  
  Volume (down) 2019 Issue Pages 1-14  
  Keywords Remote Sensing  
  Abstract Against the background that urbanization has proceeded quickly in China over the last two decades, a limited number of empirical researches have been performed for analyzing the measurement and driving forces of urban sprawl at the national and regional level. The article aims at using remote sensing derived data and administrative data (for statistical purposes) to investigate the development status of urban sprawl together with its driving forces. Compared with existing studies, NPP/VIIRS data and LandScan data were used here to examine urban sprawl from two different perspectives: urban population sprawl and urban land sprawl. Furthermore, we used population density as a counter-indicator of urban sprawl, and the regression results also prove the superiority of the urban sprawl designed by us. The main results show that the intensity of urban population sprawl and urban land sprawl has been enhanced. However, the upside-down between the inflow of migrants and the supply of urban construction land among different regions aggravates the intensity of urban sprawl. According to the regression analyses, the driving mechanism of urban sprawl in the eastern region relying on land finance and financial development has lost momentum for the limitation of urban construction land supply. The continuous outflow of population and loosely land supply have accelerated the intensity of urban land sprawl in the central and western regions. The findings of the article may help people to realize that urban sprawl has become a staggering reality among Chinese cities; thereby urban planners as well as policymakers should make some actions to hinder the urban sprawl.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1026-0226 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2379  
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Author Lopez-Ruiz, H., Nezamuddin, N., Al Hassan, R., & Muhsen, A. url  doi
openurl 
  Title Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia Type Journal Article
  Year 2019 Publication EconPapers Abbreviated Journal  
  Volume (down) ks--2019-mp07 Issue Pages  
  Keywords Remote Sensing; Freight; shipping; freight transport activity; FTA; China; India; Saudi Arabia; Transportation; nighttime lights; NTL  
  Abstract This paper focuses on the methodology for estimating total freight transport activity (FTA) for three countries — China, India and Saudi Arabia — with the objective of building on current state-of-the-art transportation modeling in three key areas: Studying the relationship between nighttime lights (NTL) and FTA allows for an estimation of full transportation datasets for countries where only a few observation points exist or where data is unavailable. Establishing the foundation for future work on how to use this approach in transport flow estimation (origin-destination matrices). Determining whether this approach can be used globally, given the coverage of the satellite data used. The paper uses the KAPSARC Transport Analysis Framework (KTAF), which estimates transport activity from freely available global data sources, satellite images and NTL. It is a tool for estimating freight transport activity that can be used in models to measure the impact of an accelerated transport policy planning approach. The methodology offers a solution to inadequate data access and allows for scenario building in policy planning for transportation. This approach allows for quick estimation of the effects of policy measures and economic changes on transportation activities at a global level. The paper also includes a detailed guide on how to replicate the methodology used in this analysis.  
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  Notes Approved no  
  Call Number IDA @ intern @ Serial 2639  
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Author Fiorini M.; Sanfilippo M. url  doi
openurl 
  Title Roads and jobs in Ethiopia Type Journal Article
  Year 2019 Publication UNU-WIDER Abbreviated Journal  
  Volume (down) 2019 Issue 116 Pages  
  Keywords Remote Sensing  
  Abstract We look at how improving roads can affect jobs and structural transformation. We use a novel geocoded dataset covering the universe of Ethiopian roads and match this information with individual data to identify the effects of improvements in road infrastructure on the creation, quality, and sectoral distribution of jobs over the period 1994–2013. We find that, at the district level, higher market potential due to better roads contributes to the creation of new jobs, reduces the share of agricultural workers, and increases that of workers in the services sector but not in manufacturing. The latter experiences a relative increase in the share of informal workers. Finally, investigating the underlying mechanisms, we show that patterns of internal migration and changes in economic opportunities can help to rationalize our findings.  
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  Notes Approved no  
  Call Number UP @ altintas1 @ Serial 3213  
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