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MRVing Philippine Road Transport Emissions

This article discusses the importance of monitoring and reporting on road transport emissions in the Philippines, and the need for better data collection and analysis. It highlights the limitations of existing data sources and calls for the integration of emissions-relevant data into existing mechanisms. The article also introduces the Transport Data Database and the Better Transport Data in Asia Project as efforts to improve data collection and reporting. The author encourages contributions to these initiatives to support the sustainable transport initiative in the country.

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MRVing Philippine Road Transport Emissions

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  1. Priority Data for “MRV”ing the Philippine Road Transport Emissions By Alvin A. Mejia Clean Air Asia Presented by Mark Angelo Tacderas Clean Air Asia

  2. IMPORTANCE OF ROAD TRANSPORT: EMISSIONS

  3. RECENT STATISTICS

  4. COP 19 COP 21 “The Philippines intends to undertake GHG (CO2e) emissions reduction of about 70% by 2030 relative to its BAU scenario of 2000-2030. Reduction of CO2e emissions will come from energy, transport, waste, forestry and industry sectors. The mitigation contribution is conditioned on the extent of financial resources, including technology development & transfer, and capacity building, that will be made available to the Philippines.” GOVERNMENT OF THE PHILIPPINES

  5. TOP DOWN APPROACH • Tells you how much CO2 is emitted • Doesn’t tell you much about the sources • Doesn’t enable mitigation impacts analysis of interventions Volume of fuel consumed Total CO2 Emissions (kgCO2) CO2 Emission Factor per amount of fuel consumed (e.g. kgCO2/liter of gasoline)

  6. BOTTOM UP APPROACH Activity (Passenger & freight activity, vehicle activity, occupancies and loading) Amount of fuel consumed Total CO2 Emissions (kgCO2) And other emissions Structure (Vehicle population, loading and occupancies) Modal Energy Intensity (fuel efficiencies, person kilometer/unit of energy) Factor of Emissions (e.g. kgCO2/liter of gasoline, pollutants/ vehicle kilometers) Occupancies; average energy efficiencies (km/liter); fleet composition Energy content of fuels

  7. Vehicle Registration Data • Although the publicly available data contains such detailed classification, these are also limited in terms of disaggregation in terms of fuel type, which are currently limited to gasoline and diesel. Other fuels such as liquefied petroleum gas (LPG), compressed natural gas (CNG), electric-driven, as well as hybrid propulsion need to be accounted into the system. • Moreover, the public does not have direct access to the digital data, as the publicly available versions of the data in the reports are provided in physical printed formats.

  8. VEHICLE KILOMETERS • No significant sampling has been done, limited to ad hoc studies • This parameter can easily be integrated into the annual vehicle registration process, particularly through the emissions testing procedures, and through the motor vehicle inspection procedures (through the motor vehicle inspection centers).

  9. AVERAGE LOAD • Average loads (occupancies and payload) are also important parameters in estimating transportation activity, as well as efficiencies in terms of performing work. These are important in estimating passenger-kilometers and ton-kilometers performed by the different types of vehicles. • Collation of existing studies is needed.

  10. VEHICLE FUEL EFFICIENCIES • official vehicle registration data for the different vehicle sub-segments is not available which is needed in estimating average rated fuel economy values for different vehicle segments • Limited studies – LDVs, small samples for other types of vehicles • Instituting the estimation of average vehicle fuel economy figures can be lodged into relevant government agencies (LTO, with collaboration with the DOE), coupled with private sector information on the fuel economy ratings Source: Clean Air Asia, UNEP, DOE (2015)

  11. EMISSION FACTORS • Study on local carbon content of fuels has been conducted, although local CO2 emission factors not too critical • The IPCC default Carbon content values are normally accepted as reliable estimates. • Philippines has yet to come up with updated emission factors for criteria air pollutants CO2 CH4 N2O BC CO PM SOx HC NOx

  12. SUMMARY • PHL needs to move towards providing transparent and accessible data that can aid researchers in conducting such emissions assessment studies. • Existing available data such as the vehicle registration statistics need to be provided in easily accessible and modifiable forms. The public need not be limited to hard copies of these statistics. • The potential integration of emissions-relevant data into mechanisms that have not been tapped in emissions inventory studies must be looked into. • The active engagement of the relevant agencies—such as the LTO, DOTC, DOE, DENR, DTI, PSA – and other supporting organizations is critical in ensuring that the system is built to integrate such data.

  13. Transport Data Database : 40 developing member countries 14 focus countries Better Transport Data in Asia Project • Socio-economic • Transport activity • Transport structure • Emissions and energy • Road safety • Urban transport • Workforce • Infrastructure To support the operationalization of the ADB Sustainable Transport Initiative Operational Plan • Transport database • Transport models • DATA CONTRIBUTIONS ARE MUCH WELCOME! • PLEASE CONTACT Lloyd Wright lwright@adb.org Senior Transport Specialist Asian Development Bank • Knowledge products

  14. For more information: www.cleanairasia.org For more information: www.cleanairasia.org alvin.mejia@cleanairasia.org Clean Air Asia India Office india@cleanairasia.org 1st Floor, Building No. 4 Thyagraj Nagar Market, Lodhi Colony New Delhi 110003 India center@cleanairasia.org Unit 3505 Robinsons Equitable Tower ADB Avenue, Pasig City Metro Manila 1605 Philippines Clean Air Asia China Office Clean Air Asia Center china@cleanairasia.org 901A Reignwood Building, No. 8 YongAnDongLi Jianguomenwai Avenue Beijing China Clean Air Asia Country Networks China . India . Indonesia . Nepal . Pakistan . Philippines . Sri Lanka . Vietnam • Clean Air Asia • Center Members • Shell • Asia Clean Fuels Association • Corning 240 Clean Air Asia Partnership Members Donors in 2012 to 2013 Asian Development Bank  Cities Development Initiative for Asia  ClimateWorks Foundation  DHL/IKEA/UPSEnergy Foundation Fredskorpset Norway Fu Tak Iam Foundation German International Cooperation (GIZ) Institute for Global Environmental Strategies (IGES) Institute for Transport Policy Studies Institute for Transportation and Development Policy International Union for Conservation of Nature L'Agence Française de Développement (AFD)  MAHA Pilipinas Shell  Rockefeller Brothers Fund Shakti Foundation  Shell Foundation  United Nations Environment Program Partnership for Clean Fuels and Vehicles (UNEP PCFV)  USAID CEnergy  Veolia World Bank • Cities • Environment ministries and government agencies • Development agencies and foundations • Non-government organizations • Academic and research institutions • Private sector companies and associations

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