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["Carbon footprint calculator for (avoided) patient travel"]
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["How to use this template to calculate (avoided) patient travel related carbon emissions (CO2e) and costs (£)"]
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[null,"When you open up the spreadsheet, enable editing and enable macros"]
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[null,"Introduction "]
[null,"                                          is the main tab to use to calculate carbon emissions avoidance (CO2e avoided). When you click on it you will see the following spread sheet. "]
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[null,"Data can be entered in  the column with yellow headings. The columns with grey headings are calculated automatically."]
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[null,"Choosing your scenario "]
[null,"The CO2e savings tab enables users to paste in a list of avoided patient and/or staff journeys. The tab then (sometimes with supporting use of the freemap tool) calculates the CO2e avoided."]
[null,"It can be used for a number of scenarios, depending on what type of data you have available.  "]
[null,"The table below shows which scenario you should use depending on the data information you have."]
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[null,null,"'From' and 'To' postcodes",null,"Main mode of transport",null,"Miles Travelled",null,"Go to section>>"]
[null,"Scenario 1",4,null,6,null,6,null,1,null,"x§"]
[null,"Scenario 2",4,null,4,null,6,null,2]
[null,"Scenario 3",6,null,4,null,4,null,3]
[null,"Scenario 4",6,null,6,null,4,null,4]
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[null,"Scenario 1"]
[null,"1)   Using the function 'Paste Special' 'Text', paste your list of patients or staff postcodes into column C (starting postcode) and your hospital/GP postcode into column D (destination postcode), "]
[null," starting at line 6. You can enter up to 3000 postcodes. Please include a space in your postcode, BA1 3ZG not BA13ZG."]
[null,"2)   Column E puts the postcodes from column C and D automatically into the correct format to use with the freemap tool. The tool will calculate the distance 'as the crow flies' between the postcodes."]
[null,"3)   Copy the data in column E and paste it into https://www.freemaptools.com/distance-between-uk-postcodes.htm in the 'bulk processing' section half way down the webpage. "]
[null," You can use 200 data sets in one go. See image below."]
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[null,"4)   Click on Process postcode list."]
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[null,"5)   Select and copy the data provided by the freemap tool into column F (row 6 onwards). "]
[null,"6)   Column K automatically pulls out the 'as the crow flies' distance travelled in miles from column F and turns it into road miles travelled."]
[null,"7)   (optional) Enter the number of people (e.g. parent, partner, guardian, carer) accompanying the patient in column J."]
[null,"8)   The avoided carbon emissions associated with your data appear in cell N2 (single journeys) and O2 (return journeys)."]
[null,"9)   If your data represents only a fraction of the avoided carbon emissions you wish to quantify, enter the percentage your sample represents in cell J2. "]
[null," For examle, if you have pasted in 100 journeys, but know that 1000 journeys were avoided in total, then input 10%."]
[null,"10) Total avoided carbon emissions are provided in cell N3 (single journey) and O3 (return journey)."]
[null,"11) Avoided miles travelled (return journey) associated with your data appear in cell Q2. "]
[null," If your data represents only a fraction of the avoided miles you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided miles travelled in Q3."]
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[null,"Scenario 2"]
[null,"1)   Using the function 'Paste Special' 'Text', paste your list of patients or staff postcodes into column C (starting postcode) and your hospital/GP postcode into column D (destination postcode), "]
[null," starting at line 6. You can enter up to 3000 postcodes. Please include a space in your postcode, BA1 3ZG not BA13ZG."]
[null,"2)   Column E puts the postcodes from column C and D automatically into the correct format to use with the freemap tool. The tool will calculate the distance 'as the crow flies' between the postcodes."]
[null,"3)   Copy the data in column E and paste it into https://www.freemaptools.com/distance-between-uk-postcodes.htm in the 'bulk processing' section half way down the webpage. "]
[null," You can use 200 data sets in one go. See image below."]
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[null,"4)   Click on Process postcode list"]
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[null,"5)   Select and copy the data provided by the freemap tool into column F (row 6 onwards). "]
[null,"6)   Column K automatically pulls out the 'as the crow flies' distance travelled in miles from column F and turns it into road miles travelled."]
[null,"7)   Using the function 'Paste Special' 'Text', paste the known main mode of transport for each journey, into column I. Please use the following names for modes of transport."]
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[null,"8)   (optional) Enter the number of people (e.g. parent, partner, guardian, carer) accompanying the patient in column J."]
[null,"9)   (optional) Enter the cost of the return journey into column H if known. Include the cost to the patient/staff only. "]
[null," If column J indicates that a carer is accompanying the patient, column P will automatically multiply the cost entered in  column H by the number of the carers where public transport is used. "]
[null," Where mode of transport is 'car' or 'motorbike', do not include fuel costs here. It is assumed that a car costs £0.45 per mile and a motorbike £0.24. You may enter other costs though, such as parking."]
[null," Both, parking costs and costs per mile, are included in column P."]
[null,"10) The avoided carbon emissions associated with your data appear in cell N2 (single journeys) and O2 (return journeys)."]
[null,"11) If your data represents only a fraction of the avoided carbon emissions you wish to quantify, enter the percentage your sample represents in cell J2. "]
[null,"  For example, if you have pasted in 100 journeys, but know that 1000 journeys were avoided in total, then input 10%."]
[null,"12) Total avoided carbon emissions are provided in cell N3 (single journey) and O3 (return journey)."]
[null,"13) The avoided miles travelled (return journey) associated with your data appear in cell Q2. "]
[null,"  If your data represents only a fraction of the avoided miles you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided miles travelled in Q3."]
[null,"14)  The avoided costs to patients (return journey) associated with your data appear in cell S2."]
[null,"  If no costs have been entered in column H, it is assumed that a car costs £0.45 per mile and a motorbike £0.24. No assumptions are made for public transport, a cost of zero is assumed."]
[null,"  If your data represents only a fraction of the avoided costs you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided costs travelled in S3."]
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[null,"Scenario 3"]
[null,"1)   Using the function 'Paste Special' 'Values', paste the miles for each patient or staff  single journey into column G."]
[null,"2)   Using the function 'Paste Special' 'Text', paste the known main mode of transport for each journey, into column I. Please use the following names for modes of transport."]
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[null,"3)   (optional) Enter the number of people (e.g. parent, partner, guardian, carer) accompanying the patient in column J."]
[null,"4)   (optional) Using the function 'Paste Special' 'Values', paste the cost of each patient return journey into column H if known.  Include the cost to the patient/staff only. "]
[null," If column J indicates that a carer is accompanying the patient, column P will automatically  include the costs of the carer where public transport is used. "]
[null," Where mode of transport is 'car' or 'motorbike', do not include fuel costs here. It is assumed that a car costs £0.45 per mile and a motorbike £0.24. You may enter other costs though, such as parking."]
[null," Both, parking costs and costs per mile, are included in column P."]
[null,"5)   The avoided carbon emissions associated with your data appear in cell N2 (single journeys) and O2 (return journeys)."]
[null,"6)   If your data represents only a fraction of the avoided carbon emissions you wish to quantify, enter the percentage your sample represents in cell J2. "]
[null," For example, if you have pasted in 100 journeys, but know that 1000 journeys were avoided in total, then input 10%"]
[null,"7)  Total avoided carbon emissions are provided in cell N3 (single journey) and O3 (return journey)."]
[null,"8)   The avoided miles travelled (return journey) associated with your data appear in cell Q2. "]
[null," If your data represents only a fraction of the avoided miles you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided miles travelled in Q3."]
[null,"9)  The avoided costs to patients (return journey) associated with your data appear in cell S2."]
[null,"If no costs have been entered in column H, it is assumed that a car costs £0.45 per mile and a motorbike £0.24. No assumptions are made for public transport, a cost of zero is  assumed."]
[null,"If your data represents only a fraction of the avoided costs you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided costs travelled in S3."]
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[null,"Scenario 4"]
[null,"1)   Using the function 'Paste Special' 'Values', paste the miles for each patient or staff single journey into column G."]
[null,"2)   (optional) Enter the number of people (e.g. parent, partner, guardian, carer) accompanying the patient in column J."]
[null,"3)   The avoided carbon emissions associated with your data appear in cell N2 (single journeys) and O2 (return journeys)."]
[null,"4)   If your data represents only a fraction of the avoided carbon emissions you wish to quantify, enter the percentage your sample represents in cell J2. "]
[null," For example, if you have pasted in 100 journeys, but know that 1000 journeys were avoided in total, then input 10%"]
[null,"5)  Total avoided carbon emissions are provided in cell N3 (single journey) and O3 (return journey)."]
[null,"6)   The avoided miles travelled (return journey) associated with your data appear in cell Q2. "]
[null,"  If your data represents only a fraction of the avoided miles you wish to quantify, enter the percentage your sample represents in cell J2. You will find the total avoided miles travelled in Q3."]
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[null,"Mass data input"]
[null,"If you have a huge number of patient/staff travel data, but would like to only analyse a random selection, use tab 'mass input'."]
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[null,"If you know the patients' postcodes"]
[null,"0)   If the row numbers are in blue when you come to the 'mass input tab', this sheet was not reset before it was previously saved. If this is the case, click on the red reset box and wait a few seconds."]
[null,"1)   Using the function 'Paste Special' 'Text', paste your list of patients or staff postcodes into column B and your GP/hospital postcode into column C, starting at row 2. You can enter up to 5000 postcodes. Please include a space in your postcode, BA1 3ZG not BA13ZG."]
[null,"2)   Click on the blue box titled 'Select a sample'. You will be asked to enter the sample size, e.g. 200. Click 'ok'. Wait (this may take 30 seconds or so to complete). "]
[null," Once the sample has been selected, click 'ok' again."]
[null,"3)   Copy the selected patients or staff postcodes from column B on 'mass input'  and paste them into column C on 'CO2e savings' tab using the function 'Paste Special' 'Text'."]
[null,"4)   Copy the hospital postcode in column C on 'mass inut' and paste them into column D on 'CO2e savings' tab using the function 'Paste Special' 'Values'."]
[null,"5)   Follow the steps for scenario 1"]
[null,"6)   When you have finished, go back to the  ‘Mass Input’ tab, click on reset, and delete your postcode/ miles data so it is ready for future use."]
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[null,"If you know the single patient journeys in miles"]
[null,"0)   If the row numbers are in blue when you come to the 'mass input tab', this sheet was not reset before it was previously saved. If this is the case, click on the red reset box and wait a few seconds."]
[null,"1)   Using the function 'Paste Special' 'Text', paste the 'miles travelled' for a single patient journey into column D. You can enter up to 5000 patient journeys."]
[null,"2)   Click on the blue box titled 'Select a sample'. You will be asked to enter the sample size, e.g. 200. Click 'ok'. Wait (this may take 30 seconds or so to complete). Once the sample has been selected, click 'ok' again."]
[null," Once the sample has been selected, click 'ok' again."]
[null,"3)   Copy the selected patient journeys from column D on 'mass input'  and paste them into column G on 'CO2e savings' tab using the function 'Paste Special' 'Text'."]
[null,"4)   Follow the steps for scenario 4."]
[null,"5)   When you have finished, go back to the  ‘Mass Input’ tab, click on reset, and delete your postcode/ miles data so it is ready for future use."]
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["Acknowledgement: This carbon footprint calculator has been co-developed by CSH in partnership with PD Transformation"]

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["Cost Calculation logic table"]
["Mode of Transport","Costs of trip entered?","guardian/partner/carer accompanying patient?","Forumula","Explanation"]
["Car or motorbike",">0",0,"((Miles * cost per mile)*2) +costs of trip entered","If they've used a car or motorbike and have included journey costs, and don't have a companion ...... take the miles for the single journey, multiply this by the cost per miles, take the result and multiply this by 2 to reflect return journy costs. Add the costs of trip to this."]
["Car or motorbike",">0",">=1","((Miles * cost per mile)*2) +costs of trip entered","If they've used a car or motorbike and have included journey costs, and have at least one companion ...... take the miles for the single journey, multiply this by the cost per miles, take the result and multiply this by 2 to reflect return journey costs. Add the costs of the trip entered. (note, it's assumed the companion travelled in the car or motorbike with them)"]
["Car or motorbike","=0",0,"(Miles * cost per mile)*2","If they've used a car or motorbike, don't have journey costs, and don't have a companion ...... take the miles for the single journey, multiply this by the cost per miles, take the result and multiply this by 2 to reflect return journey costs."]
["Car or motorbike","=0",">=1","(Miles * cost per mile)*2","If they've used a car or motorbike, don't have journey costs, and  have at least one companion ...... take the miles for the single journey, multiply this by the cost per miles, take the result and multiply this by 2 to reflect return journey costs."]
["Other vehicle",">0",0,"costs of trip entered","If they've not used a car or motorbike, included journey costs, and don't have a companion ….. Take the costs of the trip entered (assumes they're putting in return journey costs)"]
["Taxi",">0",">=1","costs of trip entered","If they've used a taxi, have included journey costs, and have a guardian we take the journey costs"]
["Taxi",">0",0,"costs of trip entered","If they'e used a taxi, have included journey costs, but don't have a companion …. Take the journey costs"]
["Not given",">0",">=1","Costs of trip entered","IF they've not given a mode of transport, have included costs and have one or more companions ….. Take the costs of trip entered but don't multiply for companions, as mode of transport unclear"]
["Not given",">0",0,"Costs of trip entered","IF they've not given a mode of transport, have included costs and have no companions ….. Take the costs of trip entered"]
["Other vehicle",">0",">=1","costs of trip entered *number of guardians","If they've not used a car or motorbike and have entered journey costs, and have at least one companion ...... take journey costs and multiply this by 1 + the number of companions"]
["Other vehicle","=0",">=1","Zero","If they've not used a car or motorbike and have not entered journey costs , and have at least one companion ...... Costs will be zero"]
["Taxi","=0",0,"Zero","If they've used a taxi, have not included journey costs, we are assuming zero journey costs, since there's nothing better to go on."]
["Other vehicle","=0",0,"Zero","If they've not used a car or motorbike, have not included journey costs, we are assuming zero journey costs, since there's nothing better to go on."]
["Taxi","=0",">=1","Zero","If they've used a taxi, have not included journey costs, and have a guardian  we are assuming zero journey costs, since there's nothing better to go on."]
["Not given","=0",">=1","Zero","IF they've not given a mode of transport, have not included costs and have one or more companions ….. Put costs as zero, because we have nothing to go on."]
["Not given","=0",0,"Zero","IF they've not given a mode of transport, have not included costs and have no companions ….. Put costs as zero, because we have nothing to go on."]

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[null,null,null,null,null,null,null,null,null,null,null,null,null,"Single Journey","Return Journey"]
["(Avoided) patient travel (miles and carbon emissions)",null,null,null,null,null,null,null,"The (avoided) journeys below make up what proportion of all avoided journeys?",1,null,null,"Total (avoided) CO2e for data provided",{"$f":"SUM(N6:N1001)","v":0},{"$f":"SUM(O6:O1001)","v":0},"(Avoided) miles for return journeys for data provided",{"$f":"SUM(K6:K1006)*2","v":0},"Total (avoided) cost for data provided",{"$f":"SUM(P6:P1006)","v":0}]
[null,null,null,null,null,null,null,null,null,null,null,null,"Total (avoided) CO2e emissions - all journeys",{"$f":"N2/$J$2","v":0},{"$f":"O2/$J$2","v":0},"(Avoided) miles for all return journeys",{"$f":"Q2/$J$2","v":0},"Total (avoided) cost for all journeys",{"$f":"S2/$J$2","v":0}]
[null,null,"Use if postcode known but miles are unknown",null,"Copy this for input into freemap tools","Paste  from Freemaptool",null,null,null,null,null,"Carbon emissions per mile (kgCO2e/mile)",null,"Carbon emissions (kg CO2e)"]
["Patient reference","Date of Journey","Starting/ home postcode","Hospital/GP postcode ","This is the input format required for freemap tools","Freemaptool, postcodes and distance how the crow flies (miles)","Distance travelled, one-way (miles)","Cost of the return trip (if known) (£)","Main mode of transport (if known)","Number of carers accompanying patient","Distance travelled, one-way (miles)","Emissions factor one-way (estimated where mode of transport not given)","Emissions factor, including carer(s) accompanying patient","Total GHG emissions, one-way (CO2e)","Total GHG emissions, return journey (CO2e)","Total cost return journey (£)"]
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[null,null,null,null,"",null,null,null,null,null,{"$f":"IF(ISERROR(IF(ISBLANK(G3000),(RIGHT(F3000,(LEN(F3000)-FIND(\",\",F3000,11))))*'Assumptions and limits'!$B$25,G3000)),\"\",IF(ISBLANK(G3000),(RIGHT(F3000,(LEN(F3000)-FIND(\",\",F3000,11))))*'Assumptions and limits'!$B$25,G3000))","v":""},{"$f":"IF(ISERROR(IF(ISBLANK(I3000),HLOOKUP(VLOOKUP(ROUNDUP(K3000,0),'Emissions categories'!A:B,2,FALSE),Likelihood!$C$17:$K$31,15,FALSE),VLOOKUP(I3000,'Emissions factors'!$A$18:$E$29,5,FALSE))),\"\",IF(ISBLANK(I3000),HLOOKUP(VLOOKUP(ROUNDUP(K3000,0),'Emissions categories'!A:B,2,FALSE),Likelihood!$C$17:$K$31,15,FALSE),VLOOKUP(I3000,'Emissions factors'!$A$18:$E$29,5,FALSE)))","v":""},"","","",{"$f":"IF(AND(ISBLANK(H3000),ISBLANK(I3000)),\"\",IF(AND(OR(I3000=\"Car\",I3000=\"Motorbike\")),(K3000*VLOOKUP(I3000,'Assumptions and limits'!$A$18:$B$19,2,FALSE))*2+'CO2e savings'!H3000,IF(OR(AND('CO2e savings'!I3000<>\"Car\",'CO2e savings'!I3000<>\"Motorbike\",'CO2e savings'!I3000<>\"Taxi\",'CO2e savings'!H3000>0,'CO2e savings'!J3000=0),AND('CO2e savings'!I3000=\"Taxi\",'CO2e savings'!H3000>0),ISBLANK(I3000)),'CO2e savings'!H3000,IF(AND('CO2e savings'!I3000<>\"Car\",'CO2e savings'!I3000<>\"Motorbike\",'CO2e savings'!I3000<>\"Taxi\",'CO2e savings'!J3000>0),'CO2e savings'!H3000*(1+'CO2e savings'!J3000),0))))","v":""}]
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{"sheet":"Assumptions and limits","index":3,"n_rows":25,"n_cols":2,"rows_kept":25,"cut":false,"hidden":false,"merged":[]}
["Working parrameters and assumptions"]
[]
["CO2e savings tab can handle up to 3000 journeys"]
[]
["If users are gathering data on modes of transport, these are the options that should be given, if you wish to use this tool:"]
["Walk"]
["Cycle"]
["Car"]
["Motorbike"]
["Taxi"]
["Local bus, London"]
["Local bus, not London"]
["Coach"]
["National rail"]
["Lightrail"]
["London Underground"]
[]
["Car",0.45]
["Motorbike",0.24]
["Assumption for car:","average size , unknown fuel"]
["Assumption for Motorbike:","average size , unknown fuel"]
[]
[]
[]
["Crow flies factor",1.45]

{"sheet":"Emissions factors","index":4,"n_rows":46,"n_cols":5,"rows_kept":46,"cut":false,"hidden":false,"merged":[[2,2,2,4],[16,2,16,4],[32,0,32,11]]}
["Emissions factors"]
[]
[null,null,"Emissions factor per km"]
["Mode of transport","Unit","CO2e road travel","CO2e WTT","CO2e Total"]
["Walk","km",0,0,0]
["Cycle","km",0,0,0]
["Car","km",null,null,{"$f":"D46","v":0.21480887999999998}]
["Motorbike","km",0.11355,3.134E-2,{"$f":"SUM(C8+D8)","v":0.14488999999999999}]
["Taxi","passenger.km",0.17646000000000001,4.3159999999999997E-2,{"$f":"SUM(C9:D9)","v":0.21962000000000001}]
["Local bus, London","passenger.km",7.7179999999999999E-2,1.8849999999999999E-2,9.6030000000000004E-2]
["Local bus, not London","passenger.km",0.11774,2.8680000000000001E-2,0.14641999999999999]
["Coach","passenger.km",2.7320000000000001E-2,6.4599999999999996E-3,3.3779999999999998E-2]
["National rail","passenger.km",3.5490000000000001E-2,7.3299999999999997E-3,4.2819999999999997E-2]
["Lightrail","passenger.km",2.8129999999999999E-2,4.6600000000000001E-3,3.279E-2]
["London Underground","passenger.km",2.7810000000000001E-2,4.6100000000000004E-3,3.2420000000000004E-2]
[]
[null,null,"Emmissions factor per mile"]
["Mode of transport","Unit","CO2e road travel","CO2e WTT","CO2e Total"]
["Walk","miles",{"$f":"C5*1.60934","v":0},0,{"$f":"SUM(C19+D19)","v":0}]
["Cycle","miles",0,0,{"$f":"SUM(C20+D20)","v":0}]
["Car","miles",null,null,{"$f":"D39","v":0.34571002000000001}]
["Motorbike","miles",0.18274000000000001,5.0430000000000003E-2,{"$f":"SUM(C22+D22)","v":0.23317000000000002}]
["Taxi","passenger.mile",0.28398413640000003,6.9459114399999994E-2,0.3534432508]
["Local bus, London","passenger.mile",{"$f":"C10*1.60934","v":0.12420886119999999},3.0336058999999999E-2,0.15454492020000002]
["Local bus, not London","passenger.mile",0.1894836916,4.6155871200000004E-2,0.23563956279999998]
["Coach","passenger.mile",4.3967168799999998E-2,1.0396336399999999E-2,5.4363505199999995E-2]
["National rail","passenger.mile",5.7115476599999999E-2,1.17964622E-2,6.8911938799999989E-2]
["Lightrail","passenger.mile",4.5270734199999996E-2,7.4995243999999997E-3,5.2770258600000002E-2]
["London Underground","passenger.mile",4.4755745400000005E-2,7.4190574000000007E-3,5.217480280000001E-2]
[]
["* Note initially, taxi emissions were split between black cab and other. So the figures below are an average of the 2"]
[]
["Car emission factors based on Department of Transport 2021 statistics for licensed cars split by fuel type (Includes WTT, T&D for Evs)"]
["Miles "]
["Fuel type","% of all UK licensed cars","Emissions factor","CO2e Total"]
["Petrol",0.58399999999999996,0.35915000000000002,{"$f":"B36*C36","v":0.2097436}]
["Diesel",0.38200000000000001,0.33711999999999998,{"$f":"B37*C37","v":0.12877983999999998}]
["Alternative fuels ",3.4000000000000002E-2,0.21137,7.1865800000000006E-3]
["Total",null,null,{"$f":"SUM(D36:D38)","v":0.34571002000000001}]
[]
["km"]
["Fuel type","% of all UK licensed cars","Emissions factor","CO2e Total"]
["Petrol",0.58399999999999996,0.22316,{"$f":"B43*C43","v":0.13032543999999999}]
["Diesel",0.38200000000000001,0.20946999999999999,{"$f":"B44*C44","v":8.0017539999999998E-2}]
["Alternative fuels",3.4000000000000002E-2,0.13134999999999999,{"$f":"B45*C45","v":4.4659000000000001E-3}]
["Total",null,null,{"$f":"SUM(D43:D45)","v":0.21480887999999998}]

{"sheet":"Likelihood","index":5,"n_rows":31,"n_cols":12,"rows_kept":31,"cut":false,"hidden":false,"merged":[[14,0,15,16383]]}
[null,"Main mode","<1","1-1.999","2-4.999","5-9.999","10-24.999","25-49.999","50-99.999",">=100","All lengths"]
["Private","Walk",198,55,9,0,0,0,0,0,262]
[null,"Cycle",3,5,6,2,1,0,0,0,17]
[null,"Car",45,106,199,124,92,22,10,5,395]
[null,"Motorbike",0,0,0,1,0,0,0,0,2]
[null,"Other private transport2",1,1,2,2,1,1,0,0,7]
["Public","Local bus, London",1,3,7,3,0,0,0,0,15]
[null,"Local bus, not London",1,4,15,8,4,0,0,0,33]
[null,"Coach",0,0,0,0,0,0,0,0,0]
[null,"London Underground",0,0,3,4,4,0,0,0,11]
[null,"National rail",0,0,1,4,8,5,2,1,22]
[null,"Taxi",1,2,4,2,1,0,0,0,10]
[null,"Lightrail",0,0,1,1,1,0,0,0,3]
[null,"All modes",{"$f":"SUM(C2:C13)","v":250},176,247,151,112,28,12,6,777]
[]
[]
[null,"Main mode","<1","1-1.999","2-4.999","5-9.999","10-24.999","25-49.999","50-99.999",">=100","All lengths","Emmissions Factors"]
["Private",{"$f":"B2","v":"Walk"},{"$f":"C2/C$14","v":0.79200000000000004},0.3125,3.643724696356275E-2,0,0,0,0,0,0.33719433719433717,0]
[null,{"$f":"B3","v":"Cycle"},{"$f":"C3/C$14","v":1.2E-2},2.8409090909090908E-2,2.4291497975708502E-2,1.3245033112582781E-2,8.9285714285714281E-3,0,0,0,2.1879021879021878E-2,0]
[null,{"$f":"B4","v":"Car"},{"$f":"C4/C$14","v":0.18},0.60227272727272729,0.80566801619433204,0.82119205298013243,0.8214285714285714,0.7857142857142857,0.83333333333333337,0.83333333333333337,0.50836550836550831,{"$f":"VLOOKUP(B20,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":0.34571002000000001}]
[null,{"$f":"B5","v":"Motorbike"},{"$f":"C5/C$14","v":0},0,0,6.6225165562913907E-3,0,0,0,0,2.5740025740025739E-3,0.23170000000000002]
[null,"Other private transport2",{"$f":"C6/C$14","v":4.0000000000000001E-3},5.681818181818182E-3,8.0971659919028341E-3,1.3245033112582781E-2,8.9285714285714281E-3,3.5714285714285712E-2,0,0,9.0090090090090089E-3,0]
["Public","Local bus, London",{"$f":"C7/C$14","v":4.0000000000000001E-3},1.7045454545454544E-2,2.8340080971659919E-2,1.9867549668874173E-2,0,0,0,0,1.9305019305019305E-2,{"$f":"VLOOKUP(B23,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":0.15454492020000002}]
[null,"Local bus, not London",{"$f":"C8/C$14","v":4.0000000000000001E-3},2.2727272727272728E-2,6.0728744939271252E-2,5.2980132450331126E-2,3.5714285714285712E-2,0,0,0,4.2471042471042469E-2,{"$f":"VLOOKUP(B24,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":0.23563956279999998}]
[null,"Coach",{"$f":"C9/C$14","v":0},0,0,0,0,0,0,0,0,{"$f":"VLOOKUP(B25,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":5.4363505199999995E-2}]
[null,"London Underground",{"$f":"C10/C$14","v":0},0,1.2145748987854251E-2,2.6490066225165563E-2,3.5714285714285712E-2,0,0,0,1.4157014157014158E-2,{"$f":"VLOOKUP(B26,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":5.217480280000001E-2}]
[null,"National rail",{"$f":"C11/C$14","v":0},0,4.048582995951417E-3,2.6490066225165563E-2,7.1428571428571425E-2,0.17857142857142858,0.16666666666666666,0.16666666666666666,2.8314028314028315E-2,{"$f":"VLOOKUP(B27,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":6.8911938799999989E-2}]
[null,"Taxi",{"$f":"C12/C$14","v":4.0000000000000001E-3},1.1363636363636364E-2,1.6194331983805668E-2,1.3245033112582781E-2,8.9285714285714281E-3,0,0,0,1.2870012870012869E-2,{"$f":"VLOOKUP(B28,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":0.3534432508}]
[null,"Lightrail",{"$f":"C13/C$14","v":0},0,4.048582995951417E-3,6.6225165562913907E-3,8.9285714285714281E-3,0,0,0,3.8610038610038611E-3,{"$f":"VLOOKUP(B29,'Emissions factors'!$A$18:$E$29,5,FALSE)","v":5.2770258600000002E-2}]
[null,"All modes",{"$f":"SUM(C18:C29)","v":1},1,1.0000000000000002,1,0.99999999999999978,1,1,1,0.99999999999999989]
[null,"Agreggate Emmissions Factor",{"$f":"(C18*$L18)+(C19*$L19)+(C20*$L20)+(C21*$L21)+(C22*$L22)+(C23*$L23)+(C24*$L24)+(C25*$L25)+(C26*$L26)+(C27*$L27)+(C28*$L28)+(C29*$L29)","v":6.5202314535200007E-2},{"$f":"(D18*$L18)+(D19*$L19)+(D20*$L20)+(D21*$L21)+(D22*$L22)+(D23*$L23)+(D24*$L24)+(D25*$L25)+(D26*$L26)+(D27*$L27)+(D28*$L28)+(D29*$L29)","v":0.22021785018977272},0.30406753632550604,0.30922183754701982,0.30280436001964278,0.28393500478571432,0.29957700646666668,0.29957700646666668]

{"sheet":"Emissions categories","index":6,"n_rows":301,"n_cols":2,"rows_kept":301,"cut":false,"hidden":true,"merged":[]}
["Miles","Category"]
[1,"<1"]
[2,"1-1.999"]
[3,"2-4.999"]
[4,"2-4.999"]
[5,"2-4.999"]
[6,"5-9.999"]
[7,"5-9.999"]
[8,"5-9.999"]
[9,"5-9.999"]
[10,"5-9.999"]
[11,"10-24.999"]
[12,"10-24.999"]
[13,"10-24.999"]
[14,"10-24.999"]
[15,"10-24.999"]
[16,"10-24.999"]
[17,"10-24.999"]
[18,"10-24.999"]
[19,"10-24.999"]
[20,"10-24.999"]
[21,"10-24.999"]
[22,"10-24.999"]
[23,"10-24.999"]
[24,"10-24.999"]
[25,"10-24.999"]
[26,"25-49.999"]
[27,"25-49.999"]
[28,"25-49.999"]
[29,"25-49.999"]
[30,"25-49.999"]
[31,"25-49.999"]
[32,"25-49.999"]
[33,"25-49.999"]
[34,"25-49.999"]
[35,"25-49.999"]
[36,"25-49.999"]
[37,"25-49.999"]
[38,"25-49.999"]
[39,"25-49.999"]
[40,"25-49.999"]
[41,"25-49.999"]
[42,"25-49.999"]
[43,"25-49.999"]
[44,"25-49.999"]
[45,"25-49.999"]
[46,"25-49.999"]
[47,"25-49.999"]
[48,"25-49.999"]
[49,"25-49.999"]
[50,"25-49.999"]
[51,"50-99.999"]
[52,"50-99.999"]
[53,"50-99.999"]
[54,"50-99.999"]
[55,"50-99.999"]
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[58,"50-99.999"]
[59,"50-99.999"]
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[61,"50-99.999"]
[62,"50-99.999"]
[63,"50-99.999"]
[64,"50-99.999"]
[65,"50-99.999"]
[66,"50-99.999"]
[67,"50-99.999"]
[68,"50-99.999"]
[69,"50-99.999"]
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[75,"50-99.999"]
[76,"50-99.999"]
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[78,"50-99.999"]
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[80,"50-99.999"]
[81,"50-99.999"]
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[84,"50-99.999"]
[85,"50-99.999"]
[86,"50-99.999"]
[87,"50-99.999"]
[88,"50-99.999"]
[89,"50-99.999"]
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[91,"50-99.999"]
[92,"50-99.999"]
[93,"50-99.999"]
[94,"50-99.999"]
[95,"50-99.999"]
[96,"50-99.999"]
[97,"50-99.999"]
[98,"50-99.999"]
[99,"50-99.999"]
[100,"50-99.999"]
[101,">=100"]
[102,">=100"]
[103,">=100"]
[104,">=100"]
[105,">=100"]
[106,">=100"]
[107,">=100"]
[108,">=100"]
[109,">=100"]
[110,">=100"]
[111,">=100"]
[112,">=100"]
[113,">=100"]
[114,">=100"]
[115,">=100"]
[116,">=100"]
[117,">=100"]
[118,">=100"]
[119,">=100"]
[120,">=100"]
[121,">=100"]
[122,">=100"]
[123,">=100"]
[124,">=100"]
[125,">=100"]
[126,">=100"]
[127,">=100"]
[128,">=100"]
[129,">=100"]
[130,">=100"]
[131,">=100"]
[132,">=100"]
[133,">=100"]
[134,">=100"]
[135,">=100"]
[136,">=100"]
[137,">=100"]
[138,">=100"]
[139,">=100"]
[140,">=100"]
[141,">=100"]
[142,">=100"]
[143,">=100"]
[144,">=100"]
[145,">=100"]
[146,">=100"]
[147,">=100"]
[148,">=100"]
[149,">=100"]
[150,">=100"]
[151,">=100"]
[152,">=100"]
[153,">=100"]
[154,">=100"]
[155,">=100"]
[156,">=100"]
[157,">=100"]
[158,">=100"]
[159,">=100"]
[160,">=100"]
[161,">=100"]
[162,">=100"]
[163,">=100"]
[164,">=100"]
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{"sheet":"Mass input","index":7,"n_rows":10001,"n_cols":8,"rows_kept":10001,"cut":false,"hidden":false,"merged":[]}
["Ref No","Home postcode","Hospital postcode (appointment)","Miles","Selected projects?",null,"Lines:",{"$f":"MAX(COUNTA(B:B)-1,COUNTA(C:C)-1,COUNTA(D:D)-1)","v":0}]
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