Page 67 - Read Online

Wang et al. Carbon Footprints 2024;3:14 https://dx.doi.org/10.20517/cf.2024.19 Page 19 of 19

vehicles based on traffic speed-flow model: a case of Beijing. J Clean Prod 2020;277:122419. DOI
38. Azhari A, Abdul Halim ND, Othman M, et al. Highly spatially resolved emission inventory of selected air pollutants in Kuala
Lumpur's urban environment. Atmosp Pollut Res 2021;12:12-22. DOI
39. Sun C, Wang B, Miao H. Spatiotemporal dynamics of CO emissions: a case study of the "New Yangtze River Delta" in China.
2
Environ Sci Pollut Res Int 2023;30:40961-77. DOI
40. Cui X, Lei Y, Zhang F, Zhang X, Wu F. Mapping spatiotemporal variations of CO (carbon dioxide) emissions using nighttime light
2
data in Guangdong province. Phys Chem Earth Parts A/B/C 2019;110:89-98. DOI
41. China City Greenhouse Gas Working Group. China city carbon dioxide emission dataset. 2020. Available from: https://www.cityghg.
com/toArticleDetail;jsessionid=52C5671AF69E4CB1E74D601EB4BAD486?id=203 [Last accessed on 19 Sep 2024].
42. Tianyancha. Available from: https://www.tianyancha.com/ [Last accessed on 19 Sep 2024].
43. Bondarenko M, Kerr D, Sorichetta A, Tatem AJ. Census/projection-disaggregated gridded population datasets, adjusted to match the
corresponding UNPD 2020 estimates, for 183 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. University of
Southampton, UK: WorldPop; 2020. DOI
44. Earth Observation Group. See the world at night. Available from: https://eogdata.mines.edu/products/vnl/ [Last accessed on 19 Sep
2024].
45. Foundation O. OpenStreetMap data extracts. Available from: https://download.geofabrik.de/ [Last accessed on 19 Sep 2024].
46. China MoHaU-RDotPsRo. Code for design of urban road engineering. Beijing: China Architecture & Building Press; 2012. pp.8-9.
47. China MoTotPsRo. Technical standard of highway engineering. Beijing: China Communication Press; 2003. pp.1-9.
48. MarineTraffic. Automatic identification system. Available from: https://www.marinetraffic.com/ [Last accessed on 21 June 2024].
49. Damien SM, Mark F. MCD12Q1 v061 - MODIS/Terra+Aqua land cover type yearly L3 global 500 m SIN grid. Available from: https:/
/lpdaac.usgs.gov/products/mcd12q1v061/ [Last accessed on 19 Sep 2024].
50. He J, Wang Z, Zhao L, et al. Gridded emission inventory of organophosphorus flame retardants in China and inventory validation.
Environ Pollut 2021;290:118071. DOI
51. Hogue S, Marland E, Andres RJ, Marland G, Woodard D. Uncertainty in gridded CO emissions estimates. Earth's Future 2016;4:225-
2
39. DOI
52. Czigler T, Reiter S, Schulze P, Somers K. Laying the foundation for zero-carbon cement. McKinsey & Company; 2020. Available
from: https://www.mckinsey.com/industries/chemicals/our-insights/laying-the-foundation-for-zero-carbon-cement [Last accessed on
19 Sep 2024]
53. Xu Q, Dong YX, Yang R, Zhang HO, Wang CJ, Du ZW. Temporal and spatial differences in carbon emissions in the Pearl River Delta
based on multi-resolution emission inventory modeling. J Clean Prod 2019;214:615-22. DOI
54. Gurney KR, Mendoza DL, Zhou Y, et al. High resolution fossil fuel combustion CO emission fluxes for the united states. Environ Sci
2
Technol 2009;43:5535-41. DOI
55. Cai M, Shi Y, Ren C. Developing a high-resolution emission inventory tool for low-carbon city management using hybrid method - a
pilot test in high-density Hong Kong. Energy Build 2020;226:110376. DOI