Ting Lan
Chinese Academy of Sciences
8 Papers
Ting Lan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Urban planning. The author has an hindex of 3, co-authored 7 publications. Previous affiliations of Ting Lan include Fujian Normal University.
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Papers
Measuring urban compactness based on functional characterization and human activity intensity by integrating multiple geospatial data sources
TL;DR: A novel index, called thefunctional compactness index (FCI), is introduced, to quantify urban functional compactness through the integration of geospatial data sources, including Points of Interest (POIs), Road Network of OpenStreetMap (RNO) data, and National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data.
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Quantifying Spatiotemporal Changes in Human Activities Induced by COVID-19 Pandemic Using Daily Nighttime Light Data
TL;DR: Wang et al. as mentioned in this paper used daily NTL data to examine the spatial variations and temporal dynamics of human activities under the influence of COVID-19, taking Chinese mainland as the study area.
33
Mapping hierarchical urban boundaries for global urban settlements
Zhibang Xu,Limin Jiao,Ting Lan,Zhengzi Zhou,Zhengzi Zhou,Hao Cui,Chengpeng Li,Gang Xu,Yaolin Liu +8 more
TL;DR: In this article, the authors proposed a model to consistently identify hierarchical urban boundaries (HUBs) according to physical urban entity and the main quantitative basis of their model is the density, size and spatial relationship of the artificial impervious surface.
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Considerable role of urban functional form in low-carbon city development
TL;DR: Wang et al. as mentioned in this paper used urban functional form data from 178 cities of China to study the relationship between urban CO2 emissions and five categories of urban form: compactness, extension, fragmentation, irregularity, and concentration.
25
Temporal and Spatial Variation Characteristics of Catering Facilities Based on POI Data: A Case Study within 5th Ring Road in Beijing
TL;DR: The number of total catering POI increased by about 6 times, and the center of the whole data shows a tendency to move from west to southeast, and there is little change of quantity of total Catering POI.