Data for 'Co-benefits of Transport Demand Reductions from Compact Urban Development in Chinese Cities'
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下载链接：
https://datacommons.princeton.edu/discovery/doi/10.34770/njry-v825
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资源简介：
This dataset is created for the paper titled 'Co-benefits of
Transport Demand Reductions from Compact Urban Development in Chinese
Cities' and published on Nature Sustainability. We construct 6
scenarios of compact urban development, alternative energy vehicle
deployment, and power decarbonization to explore the co-benefits of
transport demand reductions via compact urban development for carbon
emissions, energy use, air quality, and human health in China in 2050.
This dataset provides the following gridded information for the scenarios:
(1) monthly mean surface PM2.5 concentrations from the WRF-Chem model; (2)
annual PM2.5-related premature deaths calculated by the GEMM model; (3)
2015 population in China; (4) mask for provinces in China; (5) longitude
and latitude of each grid center.
提供机构：
Princeton University
创建时间：
2023-12-18
