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Lopez-Ruiz, H., Nezamuddin, N., Al Hassan, R., & Muhsen, A. |
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Title |
Estimating Freight Transport Activity Using Nighttime Lights Satellite Data in China, India and Saudi Arabia |
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Journal Article |
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2019 |
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EconPapers |
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ks--2019-mp07 |
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Remote Sensing; Freight; shipping; freight transport activity; FTA; China; India; Saudi Arabia; Transportation; nighttime lights; NTL |
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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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IDA @ intern @ |
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2639 |
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Author |
Fiorini M.; Sanfilippo M. |
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Roads and jobs in Ethiopia |
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2019 |
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UNU-WIDER |
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2019 |
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116 |
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Remote Sensing |
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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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UP @ altintas1 @ |
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3213 |
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Desaulniers, J.; Desjardins, S.; Lapierre, S.; Desgagné, A. |
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Title |
Sleep Environment and Insomnia in Elderly Persons Living at Home |
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Journal Article |
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2018 |
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Journal of Aging Research |
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Journal of Aging Research |
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2018 |
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1-7 |
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Human Health |
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2090-2204 |
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GFZ @ kyba @ |
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2016 |
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Swardika, I.K.; Santiary, P.A.W.; Suasnawa, I.W. |
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Preliminary study of building a low-carbon emission concept for Bali with nocturnal light analysis |
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2020 |
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Journal of Physics: Conference Series |
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J. Phys.: Conf. Ser. |
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1450 |
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012038 |
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Remote Sensing |
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Energy crisis and increase energy consume initiate depletion of natural resources and environmental degradation and that will leads to global warming and climate change. Nowadays, tourism considered being one of the important industries in the world. It also acknowledged as significant largest consumers of energy through many sectors including supporting facilities for tourists that focused on this paper. Bali's most important tourist destination and become proponent of economic has many resorts surrounded by business trade support. Increasing electricity demand becomes present issues. This paper proposes a method to build community-based initiatives for reducing carbon emissions and saving energy. The method consists of procedural to build light threshold regulation. This research uses light-meter survey, a night-time satellite dataset, and other supporting data. The light threshold uses night-time satellite dataset. Classes of light thresholds are defined from histogram analysis. Results show a relationship of lux light-meter survey mean with night-time satellite dataset mean. From results created maps of class regions that show approximate of level energy used. |
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1742-6588 |
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GFZ @ kyba @ |
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2858 |
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Rezky, M.; Priyatikanto, R.; Admiranto, A.G.; Soegiartini, E. |
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Title |
Pattern recognition as tools for understanding night sky brightness variabilities |
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2019 |
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Journal of Physics: Conference Series |
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J. Phys.: Conf. Ser. |
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1231 |
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012001 |
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Skyglow |
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1742-6588 |
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GFZ @ kyba @ |
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2565 |
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