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Author Edensor, T.; Andrews, J. url  doi
openurl 
  Title Walking the creek: reconnecting place through light projection Type Journal Article
  Year 2019 Publication Geographical Research Abbreviated Journal Geographical Research  
  Volume 57 Issue 3 Pages 263-274  
  Keywords Society; Psychology; Australia; public amenity; placemaking; light projection  
  Abstract In this paper, we explore how a light projection sought to convey a range of qualities: conviviality, a sense of place, playfulness, defamiliarisation, and the affective and sensory capacities that were experienced through walking in the distinctive, liminal realm of Bendigo Creek in Victoria, Australia. The projection aspired to solicit a sensory and affective empathy that chimed with the experiences of an earlier event in which dozens of pedestrians were filmed walking in the creek. The projection contributed to a local campaign to reappraise the much‐maligned creek as a local public amenity. We discuss the productive potential of solitary and collective walking and, subsequently, the attributes of the projection in its static and mobile manifestation. In so doing, we suggest that publicly engaged, inclusive, creative practice can offer potent place‐making possibilities.  
  Address (down) School of Geography, University of Melbourne, Carlton, Victoria, Australia; t.edensor(at)mmu.ac.uk  
  Corporate Author Thesis  
  Publisher Wiley Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1745-5863 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2435  
Permanent link to this record
 

 
Author Ou, J.; Liu, X.; Li, X.; Li, M.; Li, W. url  doi
openurl 
  Title Evaluation of NPP-VIIRS Nighttime Light Data for Mapping Global Fossil Fuel Combustion CO2 Emissions: A Comparison with DMSP-OLS Nighttime Light Data Type Journal Article
  Year 2015 Publication PloS one Abbreviated Journal PLoS One  
  Volume 10 Issue 9 Pages e0138310  
  Keywords Remote Sensing  
  Abstract Recently, the stable light products and radiance calibrated products from Defense Meteorological Satellite Program's (DMSP) Operational Linescan System (OLS) have been useful for mapping global fossil fuel carbon dioxide (CO2) emissions at fine spatial resolution. However, few studies on this subject were conducted with the new-generation nighttime light data from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) Satellite, which has a higher spatial resolution and a wider radiometric detection range than the traditional DMSP-OLS nighttime light data. Therefore, this study performed the first evaluation of the potential of NPP-VIIRS data in estimating the spatial distributions of global CO2 emissions (excluding power plant emissions). Through a disaggregating model, three global emission maps were then derived from population counts and three different types of nighttime lights data (NPP-VIIRS, the stable light data and radiance calibrated data of DMSP-OLS) for a comparative analysis. The results compared with the reference data of land cover in Beijing, Shanghai and Guangzhou show that the emission areas of map from NPP-VIIRS data have higher spatial consistency of the artificial surfaces and exhibit a more reasonable distribution of CO2 emission than those of other two maps from DMSP-OLS data. Besides, in contrast to two maps from DMSP-OLS data, the emission map from NPP-VIIRS data is closer to the Vulcan inventory and exhibits a better agreement with the actual statistical data of CO2 emissions at the level of sub-administrative units of the United States. This study demonstrates that the NPP-VIIRS data can be a powerful tool for studying the spatial distributions of CO2 emissions, as well as the socioeconomic indicators at multiple scales.  
  Address (down) School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1932-6203 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:26390037; PMCID:PMC4577086 Approved no  
  Call Number GFZ @ kyba @ Serial 2272  
Permanent link to this record
 

 
Author Li, S.; Cheng, L.; Liu, X.; Mao, J.; Wu, J.; Li, M. url  doi
openurl 
  Title City type-oriented modeling electric power consumption in China using NPP-VIIRS nighttime stable light data Type Journal Article
  Year 2019 Publication Energy Abbreviated Journal Energy  
  Volume 189 Issue Pages 116040  
  Keywords Energy; Remote Sensing; China; electric power consumption; Night lights; Nighttime light; VIIRS-DNB  
  Abstract Accelerating urbanization has created tremendous pressure on the global environment and energy supply, making accurate estimates of energy use of great importance. Most current models for estimating electric power consumption (EPC) from nighttime light (NTL) imagery are oversimplified, ignoring influential social and economic factors. Here we propose first classifying cities by economic focus and then separately estimating each category’s EPC using NTL data. We tested this approach using statistical employment data for 198 Chinese cities, 2015 NTL data from the Visible Infrared Imaging Radiometer Suite (VIIRS), and annual electricity consumption statistics. We used cluster analysis of employment by sector to divide the cities into three types (industrial, service, and technology and education), then established a linear regression model for each city's NTL and EPC. Compared with the estimation results before city classification (R2: 0.785), the R2 of the separately modeled service cities and technology and education cities increased to 0.866 and 0.830, respectively. However, the results for industrial cities were less consistent due to their more complex energy consumption structure. In general, using classification before modeling helps reflect factors affecting the relationship between EPC and NTL, making the estimation process more reasonable and improving the accuracy of the results.  
  Address (down) School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, China  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0360-5442 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2672  
Permanent link to this record
 

 
Author Zhu, Y.; Xu, D.; Saleem, A.; Ma, R.; Cheng, J. url  openurl
  Title Can Nighttime Light Data Be Used to Estimate Electric Power Consumption? New Evidence from Causal-Effect Inference Type Journal Article
  Year 2019 Publication Energies Abbreviated Journal Energies  
  Volume 12 Issue 16 Pages 3154  
  Keywords Society; electric power consumption; nighttime light data; panel econometrics; panel Granger causality  
  Abstract Nighttime light data are often used to estimate some socioeconomic indicators, such as energy consumption, GDP, population, etc. However, whether there is a causal relationship between them needs further study. In this paper, we propose a causal-effect inference method to test whether nighttime light data are suitable for estimating socioeconomic indicators. Data on electric power consumption and nighttime light intensity in 77 countries were used for the empirical research. The main conclusions are as follows: First, nighttime light data are more appropriate for estimating electric power consumption in developing countries, such as China, India, and others. Second, more latent factors need to be added into the model when estimating the power consumption of developed countries using nighttime light data. Third, the light spillover effect is relatively strong, which is not suitable for estimating socioeconomic indicators in the contiguous regions between developed countries and developing countries, such as Spain, Turkey, and others. Finally, we suggest that more attention should be paid in the future to the intrinsic logical relationship between nighttime light data and socioeconomic indicators.  
  Address (down) School of Economics and Management, China University of Geosciences, Wuhan 430074, China; xdy(at)cug.edu.cn  
  Corporate Author Thesis  
  Publisher MDPI Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1996-1073 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ john @ Serial 2614  
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Author Nguyen, C.N.; Noy, I. url  doi
openurl 
  Title Measuring the impact of insurance on urban earthquake recovery using nightlights Type Journal Article
  Year 2019 Publication Journal of Economic Geography Abbreviated Journal  
  Volume in press Issue Pages lbz033  
  Keywords Remote Sensing; Earthquakes; New Zealand; Night lights  
  Abstract We measure the longer-term effect of a major earthquake on the local economy, using night-time light intensity, and focus on the role of insurance payments for damaged residential property in the recovery process. The destructive Canterbury Earthquake Sequence (2010–2011) in New Zealand is our case study. Uniquely, for this event, >95% of residential housing units were covered by insurance and almost all incurred some damage. However, insurance payments were staggered over 5 years, enabling us to identify their local impact on recovery. We find that night-time luminosity can capture the process of recovery; and that insurance payments contributed significantly to the process of local economic recovery after the earthquake. Cash settlement of claims was no more effective than insurance-managed repairs in generating local recovery. Notably, delayed payments were less affective in assisting recovery; this suggests an important role for the regulator in making sure insurance payments are made promptly after disaster events.  
  Address (down) School of Economics and Finance, Victoria University of Wellington, Kelburn, Wellington, New Zealand; ilan.noy(at)vuw.ac.nz  
  Corporate Author Thesis  
  Publisher Oxford Academic Place of Publication Editor  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1468-2702 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2750  
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