References of the Carbon Footprint Calculator

  1. Tokyo city university, Itsubo lab , “Environmental assessment report of Eco-products exhibition H.21”
  2. Norihiro Itsubo et al., (2012)Life Cycle CO2 Analysis for Large-scale Exhibition, Journal of Life Cycle assessment, Japan vol.8, No.2, p200-212, < https://doi.org/10.3370/lca.8.200 >
  3. METI, Agency for Natural Resource and Energy, White Paper, Annual Report on Energy,
    < https://www.enecho.meti.go.jp/en/category/whitepaper/ >
  4. METI, Agency for Natural Resource and Energy, FY2019 Energy Supply and Demand Report (Revised Report),
    < https://www.meti.go.jp/english/press/2021/0413_006.html >
  5. MAFF, “THE 95th STATISTICAL YEARBOOK OF MINISTRY OF AGRICULTURE” 11 Forestry, 7 Use of Woody Biomass Energy FY,
    < https://www.maff.go.jp/e/data/stat/95th/index.html >
  6. RCRIEPI, Comprehensive Assessment of Life Cycle CO2 Emissions from Power Generation Technologies in Japan,
    < https://criepi.denken.or.jp/hokokusho/pb/reportDetail?reportNoUkCode=Y06 >
  7. RCRIEPI, Evaluation of Life Cycle CO2 Emissions of Domestic and Foreign Biomass Fuel for Coal-fired Power Plant,
    < https://criepi.denken.or.jp/hokokusho/pb/reportDetail?reportNoUkCode=Y10010 >
  8. Ministry of the Environmental Government of Japan, Carbon intensity of each electric utility in2020,
    < https://www.env.go.jp/press/press_00216.html >
  9. Ministry of the Environment, calculation method and coefficient list of GHG emissions,
    < https://ghg-santeikohyo.env.go.jp/files/calc/itiran_2020_rev.pdf >
  10. METI, “Energy consumption survey”,
    < https://www.enecho.meti.go.jp/statistics/energy_consumption/ec001/2019_02/ >
  11. MLIT, Current State of Water resources in Japan,
    < https://www.mlit.go.jp/mizukokudo/mizsei/mizukokudo_mizsei_tk2_000014.html >
  12. ICAO, THE OFFICIAL UN TOOL TO QUANTIFY AIR TRAVEL CO2 FOOTPRINT,
    < https://www.icao.int/environmental-protection/Carbonoffset/Pages/default.aspx >
  13. ICAO, Presentation of 2019 air transport statistical results,
    < https://www.icao.int/annual-report-2019/Documents/ARC_2019_Air%20Transport%20Statistics.pdf >
  14. ICAO, INNOVATION FOR A GREEN TRANSITION 2022 Environmental Report,
    < https://www.icao.int/environmental-protection/Documents/EnvironmentalReports/2022/ICAO%20ENV%20Report%202022%20F4.pdf >
  15. ICAO, Carbon Emissions Calculator Methodology, Version 11,
    < https://www.icao.int/environmental-protection/CarbonOffset/Documents/Methodology%20ICAO%20Carbon%20Calculator_v11-2018.pdf >
  16. J-Credit Scheme, Methodologies, < https://japancredit.go.jp/english/methodologies/ >
  17. Ministry of Foreign Affairs of Japan, Countries and Regions, < https://www.mofa.go.jp/region/index.html >
  18. Airports Council International, ACI Reveals top 20 airports for passenger traffic, cargo, and aircraft movements,
    < https://aci.aero/2020/05/19/aci-reveals-top-20-airports-for-passenger-traffic-cargo-and-aircraft-movements/ >
  19. Airport company south Africa,
    < https://www.airports.co.za/Documents/JNBl_Passenger_Movements_Dec19.pdf >
  20. RIOgaleao, Airport Handling, Passengers,
    < https://www.riogaleao.com/corporativo/page/numeros-do-aeroporto >
  21. Empresa Argentina de Navegación Aérea (EANA),
    < https://www.eana.com.ar/sites/default/files/2019-01/Informe%20Mensual%20201812_1.pdf >
  22. General Authority of Civil Aviation (GACA) of the Kingdom of Saudi Arabia,
    < https://www.gaca.gov.sa/web/ar-sa/content/translation-of-ar_sa-open-data-library_41148 >
  23. e-Stat, Passenger transportation survey in FY2019,
    < https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00600460&tstat=000001016696&cycle=8&year=20191&month=0&tclass1=000001067591&result_back=1&tclass2val=0 >
  24. MLIT, Survey target, Passenger transportation survey,
    < https://www.mlit.go.jp/k-toukei/kamoturyokakutiikiryuudoutyousa_tyousataishouhani.html >
  25. MLIT, “Transport and Environment in Japan”,
    < http://www.ecomo.or.jp/english/pdf/tej2020.pdf >
  26. JADC, Statistic data of air transportation,
    < http://www.jadc.jp/files/topics/38_ext_01_0.pdf >
  27. e-Stat, Air transportation survey in 2019,
    < https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00600360&tstat=000001018894&cycle=7&year=20190&month=0&result_back=1&tclass1val=0 >
  28. Ryoko Morimoto et al (2012), COMPARATIVE ANALYSIS OF LIFE CYCLE CARBON DIOXIDE EMISSIONS FROM URBAN PASSENGER TRANSPORT MODES, JSCE D3, vol68, No.5, I285-I290,
    < https://doi.org/10.2208/jscejipm.68.I_285 >
  29. Antonio García et al., (2022), Life cycle footprint reduction comparison of hybrid and electric buses for bus transit networks, Applied Energy, Volume 308, < https://doi.org/10.1016/j.apenergy.2021.118354 >
  30. Yoshihito Yasaka et al., (2017), Meta Analysis of Life Cycle Greenhouse Gas of Automobiles, Journal of Life Cycle Assessment, Japan, Vol13, No2, p164-171, < https://doi.org/10.3370/lca.13.164 >
  31. GOV.UK, Greenhouse gas reporting : conversion factors 2019,
    < https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2019 >
  32. Ekitan, search of a fare, < https://ekitan.com/transit/fare >
  33. National Land Information Division, National Spatial Planning and Regional Policy Bureau, MLIT of Japan, The number of passenger getting on and off among the stations, < https://nlftp.mlit.go.jp/ksj/gml/datalist/KsjTmplt-S12-v3_0.html >
  34. Keisuke Nansai (2019) Embodied energy and emission intensity data for Japan using input–output tables (3EID), National Institute for Environmental Studies, Japan, < https://www.cger.nies.go.jp/publications/report/d031/jpn/index_j.htm >
  35. B. Keisuke Nansai, Jacob Fry, Arunima Malik, Naoki Kondo (2020), Carbon footprint of Japanese health care services from 2011 to 2015, Resources, Conservation & Recycling, 152, 104525, < https://doi.org/10.1016/j.resconrec.2019.104525 >
  36. Sebastien Humbert et al.,(2019), Life cycle assessment of spray dried soluble coffee and comparison with alternatives (drip filter and capsule espresso), Cleaner production, Volume 17, Issue 15, < https://doi.org/10.1016/j.jclepro.2009.04.011 >
  37. Sutthicha Nilrit et al., (2018), Carbon dioxide and methane emission rates from taxi vehicles in Thailand, Carbon management, Volume 9, No.1 37-43, < https://doi.org/10.1080/17583004.2017.1412232 >

* Some items utilize GHG (greenhouse gas) intensities, including CO2, methane, and nitrous oxide.