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Aiman Mazhar Qureshi and Ahmed Rachid
Urbanization, anthropogenic activities, and social determinants such as poverty and literacy rate greatly contribute to heat-related mortalities. The 2003 strong heat wave (Lucifer) in France resulted in catastrophic health consequences in the region tha...
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Shunli Wang, Rui Li, Jie Jiang and Yao Meng
In the context of rapid urbanization, the refined management of cities is facing higher requirements. In improving urban population management levels and the scientific allocation of resources, fine-scale population data plays an increasingly important r...
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Annabel Whipp, Nicolas Malleson, Jonathan Ward and Alison Heppenstall
This paper will critically assess the utility of conventional and novel data sources for building fine-scale spatio-temporal estimates of the ambient population. It begins with a review of data sources employed in existing studies of the ambient populati...
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Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck
Pág. 777?803
A significant increase in global urban population affects the efficiency of urban transportation systems. Remarkable urban growth rates are observed in developing or newly industrialized countries where researchers, planners, and authorities face scarcit...
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Michal Lehnert, Stevan Savic, Dragan Milo?evic, Jelena Dunjic and Jan Geletic
In the light of climate change and burgeoning urbanization, heat loads in urban areas have emerged as serious issues, affecting the well-being of the population and the environment. In response to a pressing need for more standardised and communicable re...
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Zhenghong Peng, Ru Wang, Lingbo Liu and Hao Wu
Fine-scale population mapping is of great significance for capturing the spatial and temporal distribution of the urban population. Compared with traditional census data, population data obtained from mobile phone data has high availability and high real...
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Yun Zhou, Mingguo Ma, Kaifang Shi and Zhenyu Peng
Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief. In this study, the random f...
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Guanwei Zhao and Muzhuang Yang
Mapping population distribution at fine resolutions with high accuracy is crucial to urban planning and management. This paper takes Guangzhou city as the study area, illustrates the gridded population distribution map by using machine learning methods b...
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Wei Chen, Yao Fang, Qing Zhai, Wei Wang and Yijie Zhang
Mapping the fine-scale spatial distribution of emergency shelter demand is crucial for shelter planning during disasters. To provide shelter for people within a reasonable evacuation distance under day and night disaster scenarios, we formed an approach ...
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Samain Sabrin, Maryam Karimi and Rouzbeh Nazari
Extreme heat events at urban centers in combination with air pollution pose a serious risk to human health. Among these are financially distressed cities and neighborhoods that are facing enormous challenges without the scientific and technical capacity ...
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