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Author Zheng, Q.; Deng, J.; Jiang, R.; Wang, K.; Xue, X.; Lin, Y.; Huang, Z.; Shen, Z.; Li, J.; Shahtahmassebi, A.R.
Title Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data Type Journal Article
Year 2017 Publication Habitat International Abbreviated Journal Habitat International
Volume 70 Issue Pages 34-42
Keywords Remote Sensing
Abstract (down) Urbanization has proceeded at an unprecedented speed in China during the last 20 years, resulting in extensive natural landscapes being transformed into impervious surface. The “ghost city” phenomenon has emerged due to the unreasonable urban expansion which far exceeds the actual demand of human habitat. Previously, few research studies have provided objective and sufficient knowledge with regard to identify “ghost cities” and their spatial distribution. In this paper, we proposed an effective and feasible framework to monitor and evaluate “ghost cities” utilizing nighttime light imagery obtained from day-night band (DNB) of Visible Infrared Imaging Radiometer Suite (VIIRS). We established a “ghost city” index (GCI) to quantify the intensity of the phenomenon in the northeast of China, and analyzed the spatial pattern of “ghost cities” for different GCI classes. Our results indicate that the intensity of “ghost city” phenomenon decrease from regions adjacent to the border to interior areas, whilst regions with extremely high GCI are mostly districts and county cities. Tests of typical regions show that non-lit built-up area for high GCI regions is spatially clustered and low population regions have a high tendency to suffer from the “ghost city” phenomenon. Therefore, our findings provide a spatial-explicit insight into the “ghost city” phenomenon, and consequently can be beneficial to assist sustainable urban planning.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0197-3975 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1773
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Author Zhang, A., Li, W., Wu, J., Lin, J., Chu, J., & Xia, C.
Title How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China Type Journal Article
Year 2020 Publication Environment and Planning B: Urban Analytics and City Science Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract (down) Urban vitality, as a metric, measures the attractiveness and competitiveness of a city and is a driver of development. As the physical and social space of human activities, the urban landscape has close connections with urban vitality according to classical theories. However, limited quantitative criteria for the urban landscape and gaps between macro urban planning and micro design create difficulties when constructing a vibrant city. In this study, we quantitatively examined the relationship between the urban landscape and urban vitality at the street block level using geospatial open data to discover where, how, and to what extent we could improve urban vitality, taking 15 Chinese metropolises as a case study. Results indicate that, among the three aspects of the urban landscape considered, the city plan pattern has the highest effect on stimulating vitality, followed by the land use and the patterns of building form. Specifically, the three-dimensional form of buildings has a greater effect than a two-dimensional form. In addition, convenient transportation, a compact block form, diverse buildings, mixed land use, and high buildings are the main characteristics of vibrant blocks. The results also show that the effects of the urban landscape have spatial variations and obvious diurnal discrepancies. Furthermore, over 20 and 33% of the blocks in these cities are identified as low-vitality blocks during the day and night, respectively, and are then categorized into six different types. The identification of the common characteristics of these low-vitality blocks can be taken as references for designing a vibrant urbanity.
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Notes Approved no
Call Number IDA @ intern @ Serial 2946
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Author Xia, C.; Yeh, A.G.-O.; Zhang, A.
Title Analyzing spatial relationships between urban land use intensity and urban vitality at street block level: A case study of five Chinese megacities Type Journal Article
Year 2020 Publication Landscape and Urban Planning Abbreviated Journal Landscape and Urban Planning
Volume 193 Issue Pages 103669
Keywords Remote Sensing
Abstract (down) Urban sprawl in urbanizing China has resulted in a series of ecological and environmental problems. Urban planners have been committed to promoting compact development through high-density and mixed land use. However, a problem brought by such compact urban form is the mismatch between physical spaces and socio-economic activities. To date, minimal research has been conducted using spatial statistics to study this issue at the local scales. Moreover, urban night-time vitality has been consistently ignored in existing studies. In the current work, urban land use intensity was analyzed on the basis of street block density and typology, and urban daytime and night-time vitality were measured using small catering business and night-time light data, respectively. The spatial relationships between urban land use intensity and urban vitality were investigated using a local indicator of spatial association (LISA), and five megacities in China were taken as a case study to examine whether variations exist between different cities. Results showed a significant positive spatial autocorrelation between urban land use intensity and urban vitality according to global statistics. Therefore, socio-economic activities are more likely to be abundant in densely developed urban areas. However, local spatial mismatches were found in the five megacities, indicating overcrowded or underutilized urban spaces in all the cities. These relationships were associated with different urban areas (urbanized before 1995 and during 1995–2015), land use conditions (function and mixture) and time periods (day and night). The results of this work will provide a comprehensive understanding of compact city and sustainability.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0169-2046 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2697
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Author Welch, R.
Title Monitoring urban population and energy utilization patterns from satellite Data Type Journal Article
Year 1980 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment
Volume 9 Issue 1 Pages 1-9
Keywords Remote Sensing
Abstract (down) Urban population trends in China and energy utilization patterns in the United States have been assessed from LANDSAT and Defense Meteorological Satellite Program (DMSP) images. Regression models developed from population (P) data and urban area (A) measurements on LANDSAT images are of the form P = αAb and provide insights into the success of Chinese urban planning policies for cities with populations of 500,000 to 2,000,000 people. Studies of the relationships between population, urban area, and electric-energy utilization patterns have been conducted from DMSP images of the United States. Microdensitometer profiles of illuminated cities recorded on nighttime (visual band) images are used in combination with the map boundaries of the built-up areas to create unique three-dimensional representations of the urban centers. The volumes of these three-dimensional figures may be computed and plotted with respect to population and/or energy utilization data to model regional patterns of use. Improvements in the quality of sensor data should increase the potential for monitoring urban energy demands and populations.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0034-4257 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2382
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Author Zheng, Q.; Jiang, R.; Wang, K.; Huang, L.; Ye, Z.; Gan, M.; Ji, B.
Title Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model Type Journal Article
Year 2018 Publication International Journal of Applied Earth Observation and Geoinformation Abbreviated Journal International Journal of Applied Earth Observation and Geoinformation
Volume 65 Issue Pages 24-34
Keywords Remote Sensing
Abstract (down) Urban nighttime light hotspot is an ideal representation of the spatial heterogeneity of human activities within a city, which is sensitive to regional urban expansion pattern. However, most of previous studies related to nighttime light imageries focused on extracting urban extent, leaving the spatial variation of radiance intensity insufficiently explored. With the help of global radiance calibrated DMSP-OLS datasets (NTLgrc), we proposed an innovative framework to explore the spatio-temporal trajectory of polycentric urban nighttime light hotspots. Firstly, NTLgrc was inter-annually calibrated to improve the consistency. Secondly, multi-resolution segmentation and region-growing SVM classification were employed to remove blooming effect and to extract potential clusters. At last, the urban hotspots were identified by a Gaussian volume model, and the resulting parameters were used to quantitatively depict hotspot features (i.e., intensity, morphology and centroid dynamics). The result shows that our framework successfully captures hotspots in polycentric urban area, whose Ra2 are over 0.9. Meanwhile, the spatio-temporal dynamics of the hotspot features intuitively reveal the impact of the regional urban growth pattern and planning strategies on human activities. Compared to previous studies, our framework is more robust and offers an effective way to describe hotspot pattern. Also, it provides a more comprehensive and spatial-explicit understanding regarding the interaction between urbanization pattern and human activities. Our findings are expected to be beneficial to governors in term of sustainable urban planning and decision making.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0303-2434 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1771
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