Data for 'Co-benefits of Transport Demand Reductions from Compact Urban Development in Chinese Cities'

Fu, Xiangwen; Cheng, Jing; Peng, Liqun; Zhou, Mi; Tong, Dan; Mauzerall, Denise L.
Issue date: 2024
Rights:
Creative Commons Attribution 4.0 International (CC BY)
Cite as:
Fu, Xiangwen, Cheng, Jing, Peng, Liqun, Zhou, Mi, Tong, Dan, & Mauzerall, Denise L. (2024). Data for 'Co-benefits of Transport Demand Reductions from Compact Urban Development in Chinese Cities' [Data set]. Princeton University. https://doi.org/10.34770/njry-v825
@electronic{fu_xiangwen_2024,
  author      = {Fu, Xiangwen and
                Cheng, Jing and
                Peng, Liqun and
                Zhou, Mi and
                Tong, Dan and
                Mauzerall, Denise L.},
  title       = {{Data for 'Co-benefits of Transport Deman
                d Reductions from Compact Urban Developm
                ent in Chinese Cities'}},
  publisher   = {{Princeton University}},
  year        = 2024,
  url         = {https://doi.org/10.34770/njry-v825}
}
Description:

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.

Show More