Carbon emissions, transport and locationCarbon emissions, transport and locationEmer Byrne

Carbon emissions, transport and location: A sustainability toolkit for

stakeholders in development

Background to research

Methodology

Results

Conclusions and recommendations

Outline of Presentation

Background to Research

• Peter Wyatt working paper 2011 – Workplace destination CO2 comparisons

• Carty Aherne 2011– Transport mode CO2 figures

• CSO POWCAR dataset 2006– Workplace destination data– 250 metre grid square granularity

• NTA/DIT collaboration

MethodologyGranularity

Corduff Park, Blanchardstown - outline of ED and aerial view outline

Aerial view of population at origin in linear interpolation and grid square formats respectively with outline of ED overlaid on images

MethodologyPOWCAR dataset and Granularity

Electoral District data 250m Origin and Destination Population data

MethodologyCarbon Emissions per Mode

The data presented here is from Carty & Aherne (2011) except for the CO2 emissions associated with lorry transport, which was located on the website of the University of Exeter (2003)

Mode Mode Label

CO2 Emissions

(kg/person/km)

Walking 1 0

Bicycle 2 0

Bus 3 0.077

Rail 4 0.0152

Motorbike 5 0.0939

Car 6 0.169

Car (passenger) 7 0.0845

Lorry 8 2.68

MethodologyThe Model and Model Formula

• Input: POWCAR dataset + Carbon Emissions per mode of transport

• Output: CO2 reading per person to each destination grid square in GDA

∑ Distance X CO2 per km X Count

∑Count

MethodologySample Calculations and Data

Res_DED Grid_Code Mode Adj_Jour_KmCountOfUnique_IDRes_DED Mode*emiss total CO2 emissions p.p.2001 57693 4 20 1 0.0152 0.304 13 34.833615382001 61514 7 10 1 0.0845 0.845 84 24.374994052001 61964 6 13 1 0.169 2.197 2165 4.0913611552001 62005 6 7 1 0.169 1.183 8 8.202252001 62258 3 15 1 0.077 1.155 121 2.8238892562001 66997 4 8 1 0.0152 0.1216 4730 6.5550147152001 66997 4 26 1 0.0152 0.3952 4730 6.5550147152001 66997 7 8 1 0.0845 0.676 4730 6.5550147152001 66997 7 20 1 0.0845 1.69 4730 6.5550147152001 67042 6 23 1 0.169 3.887 93 3.3540419352001 69737 6 12 1 0.169 2.028 162 3.3285691362001 69749 3 5 1 0.077 0.385 1481 3.8155091152001 69749 6 20 1 0.169 3.38 1481 3.8155091152001 69838 8 29 1 2.68 77.72 680 4.5444197062001 72701 6 13 1 0.169 2.197 54 3.1527277782001 73212 8 4 1 2.68 10.72 22 2.4643409092001 73265 3 10 1 0.077 0.77 27 1.2985370372001 73483 3 5 1 0.077 0.385 103 1.6039504852001 73483 6 10 1 0.169 1.69 103 1.603950485

Results

3D image of GDA showing CO2 emissions at destination

Results

≤ 1 Kg CO2 per person

≤ 3 Kg CO2 per person

≤ 5 Kg CO2 per person

≤ 10 Kg CO2 per person

Results

ResultsModel Validation

City Centre SiteSt Stephens Green

M50 suburban siteBallymount

Outer Suburban SiteNaas

Questionnaire: 160 respondents

Results

Results

CO2 Emissions: Model - v - Survey

Test Site

Location

CO2 Model

Kg CO2 /pers

CO2 Survey

Kg CO2 /pers

City Centre

1.092 1.85

M50

5.05 3.85

Outer Suburb

5.97 5.30

ConclusionTest Sites Building BER Location EPC

Overall

Rank

City Centre

1970’s 6

storey1st

generation

D

Central and

accessible to

PT

A A/B?

M50

1980’s 2

storey office

building

C Limited PT

links C C

Outer

Suburb

2001 3 rd

generation 3

storey office

park

premises

C Poor PT

links E D

Note: BER – Building Energy Rating; EPC – Energy Performance Certificate; PT – Public Transport

Conclusions and Recommendations

• Progression from previous research is the calculation of CO2 emissions at destination

• What gives the results the extra rigour is – (a) the quality of the census data– (b) The 250m grid square i.e. the granularity

• Demonstrated link between carbon emissions, location and transport

Conclusions and Recommendations

• Predictive tool can assist evidence based decision making

• The methodology can be utilised for the 2011 census data which will be available in POWCAR for the entire country

• Suggest incorporate BER and TEC in an overall Energy Performance Certificate

Thank You

Questions?Emer Byrne