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Model description.txt
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Transportation Model
var model;
if (COUNTY === "Alameda" || COUNTY === "Contra Costa" || COUNTY === "Marin" || COUNTY === "San Francisco" || COUNTY === "San Mateo") {
return "San Francisco";
else if (COUNTY === "Santa Clara" || COUNTY === "San Benito") {
return "Santa Clara";
else if (COUNTY === "El Dorado" || COUNTY === "Placer" || COUNTY === "Sacramento" || COUNTY === "Yolo") {
return "Sacramento";
else if (COUNTY === "San Diego") {
return "San Diego";
else if (COUNTY === "Los Angeles" || COUNTY === "Orange") {
return "Los Angeles";
else if (COUNTY === "Riverside" || COUNTY === "San Bernardino") {
return "Riverside";
else {
return "Other";
VMT
var model = VMTMODEL[Transportation Model()],
result = Math.exp(model.Constant + model.LNVEH * Math.log(locale.VEHICLES) + model.LNHHSIZE * Math.log(locale.HHSIZE) + model.LNHHINC * Math.log(locale.INCOME2013) + model.WORKCOUNT * locale.WORKCNT + model.TIMETOWORK * locale.TIMETOWORK + model.DRIVE * locale.CARCOMMUTE + model.HHVEHCOUNT * locale.VEHICLES + model.HBPOPDN * locale.DENSITY + model.HHSIZE * locale.HHSIZE + model.HHINC * locale.INCOME2013 + model.WHITE * locale.WHITE + model.HOMEOWN * locale.OWN + model.HISP * locale.LATINO);
return result;
Natural Gas
var NGCONSTANT = 1.074,
NGGASCOEF = 2.911,
NGROOMSCOEF = 0.331,
NGYEARBUILTCOEF = 0.008575,
NGASIANCOEF = -0.499,
NGHHSIZELNCOEF = 0.314,
NGWHITECOEF = -0.369,
NGGRADCOEF = -0.234,
NGSQFTCOEF = 0.0001536,
NGOWNCOEF = -0.261,
NGSINGDETCOEF = 0.221,
REFYEAR = 2013,
result;
result = Math.exp((NGCONSTANT + NGGASCOEF * locale.GAS + NGROOMSCOEF * locale.ROOMS + NGYEARBUILTCOEF * (REFYEAR - locale.YEARBUILT) + NGASIANCOEF * locale.ASIAN + NGHHSIZELNCOEF * Math.log(locale.HHSIZE) + NGWHITECOEF * (locale.WHITE / 2) + NGGRADCOEF * locale.GRAD + NGSQFTCOEF * locale.SQFT + NGOWNCOEF * locale.OWN + NGSINGDETCOEF * locale.SINGDET));
Air Travel Distance
var AIR Travel CONSTANT = 33.088,
AIRINCOMECOEF = 0.0633;
return (AIR Travel CONSTANT + AIRINCOMECOEF * locale.INCOME2007);
HSR Travel (year) {
var perCapitaMiles = 0,
mpo = locale.MPO,
pop = 0;
pop = mpoPopCalc(year);
perCapitaMiles = MPOHSRTABLE[mpo][year] / pop;
return perCapitaMiles;
Light Rail Travel
return (locale["Subway Commuters"] * PUBLICTRANSTABLE[COUNTY].CommuterRailMilesPerCommuter / locale.WORKERS * locale.WORKCNT);
Heavy Rail Travel
return (locale["Railroad Commuters"] * PUBLICTRANSTABLE[COUNTY].AmtrakMilesPerCommuter / locale.WORKERS * locale.WORKCNT);
Bus Travel
return (locale["Bus Commuters"] * PUBLICTRANSTABLE[COUNTY].BusMilesPerCommuter / locale.WORKERS * locale.WORKCNT);
Water Use
var WATERHHSIZECOEF = 25550; // 70 gal/day/person * 365 days/yr
return (WATERHHSIZECOEF * locale.HHSIZE);
Vehicle maintenance
var VMNTCONSTANT = 78.20,
VMNTINCOME07COEF = 0.0021,
AUTOPARTHHSIZECOEF = 7.80,
VEHSERVCONSTANT = 158.78,
VEHSERVINCOMECOEF = 0.0043,
VEHSERVEHHSIZECOEF = 15.83;
return ((VMNTCONSTANT + VMNTINCOME07COEF * locale.INCOME2007 + AUTOPARTHHSIZECOEF * locale.HHSIZE) + (VEHSERVCONSTANT + VEHSERVINCOMECOEF * locale.INCOME2007 + VEHSERVEHHSIZECOEF * locale.HHSIZE));
kWh Use
var KWHCONSTANT = 5.029,
KWHROOMSCOEF = 0.09255,
KWHLNCDDSQFTCOEF = 0.124,
KWHLNHHSIZECOEF = 0.362,
KWHLNINCOME13COEF = 0.09992,
KWHASIANCOEF = -0.203,
KWHGASCOEF = -0.212,
KWHOWNCOEF = 0.133,
KWHSQFTCOEF = 0.0001046,
KWHGRADCOEF = -0.109,
KWHSINGDETCOEF = 0.08848;
return (Math.exp(KWHCONSTANT + KWHROOMSCOEF * locale.ROOMS + KWHLNCDDSQFTCOEF * Math.log(locale.CDD * locale.SQFT) + KWHLNHHSIZECOEF * Math.log(locale.HHSIZE) + KWHLNINCOME13COEF * Math.log(locale.INCOME2013) + KWHASIANCOEF * locale.ASIAN + KWHGASCOEF * locale.GAS + KWHOWNCOEF * locale.OWN + KWHSQFTCOEF * locale.SQFT + KWHGRADCOEF * locale.GRAD + KWHSINGDETCOEF * locale.SINGDET));
Oil Use
var FOCONSTANT = 228.95,
FOROOMSCOEF = 75.846,
FOREGIONCOEF = 128.895,
FOOWNCOEF = -164.353,
FOAGECOEF = 2.836,
FODIV1COEF = 99.678,
FOWHITECOEF = -94.047,
REGION = 0,
DIV1 = 0;
return ((FOCONSTANT + FOROOMSCOEF * locale.ROOMS + FOREGIONCOEF * REGION + FOOWNCOEF * locale.OWN + FOAGECOEF * locale.AGE + FODIV1COEF * DIV1 + FOWHITECOEF * locale.WHITE) * locale.OTHERFUEL);
Waste Generation
if (MSWTABLE[COUNTY].DISPOSALRATE) {
return (MSWTABLE[COUNTY].DISPOSALRATE);
else {
return (0.5);
Housing Construction
return (((0.0097 * Math.pow(locale.SQFT, 2) - 10.012 * locale.SQFT + 80256) / 70) * 1000); // gCO2/HH, amortized over 70 years
Meat Consumption
var ADULTMEATCAL = 487,
CHILDMEATCAL = 365;
return ((ADULTMEATCAL * locale.Adults + CHILDMEATCAL * locale.Children) * 365);
Dairy Consumption
var ADULTDAIRYCAL = 232,
CHILDDAIRYCAL = 174;
return ((ADULTDAIRYCAL * locale.Adults + CHILDDAIRYCAL * locale.Children) * 365);
Other Food Consumption
var ADULTOTHERCAL = 1170,
CHILDOTHERCAL = 877;
return ((ADULTOTHERCAL * locale.Adults + CHILDOTHERCAL * locale.Children) * 365);
Vegetable Consumption
var ADULTVEGECAL = 304,
CHILDVEGECAL = 228;
return ((ADULTVEGECAL * locale.Adults + CHILDVEGECAL * locale.Children) * 365);
Cereal Consumption
var ADULTCEREALCAL = 584,
CHILDCEREALCAL = 438;
return ((ADULTCEREALCAL * locale.Adults + CHILDCEREALCAL * locale.Children) * 365);
Clothing
var CLOTHCONSTANT = 75.63,
CLOTHINCOME07COEF = 0.0149,
CLOTHHHSIZECOEF = 323.60;
return (CLOTHCONSTANT + CLOTHINCOME07COEF * locale.INCOME2007 + CLOTHHHSIZECOEF * locale.HHSIZE);
Furnishings
var FURCONSTANT = 278.96,
FURINCOME07COEF = 0.0231,
FURHHSIZECOEF = 27.70;
return (FURCONSTANT + FURINCOME07COEF * locale.INCOME2007 + FURHHSIZECOEF * locale.HHSIZE);
Other Goods
var OTHERGOODSCONSTANT = 2769.82,
OTHERGOODSINCOME07COEF = 0.0291,
OTHERGOODSHHSIZECOEF = 100.70;
return (OTHERGOODSCONSTANT + OTHERGOODSINCOME07COEF * locale.INCOME2007 + OTHERGOODSHHSIZECOEF * locale.HHSIZE);
Services
var SERVICESCONSTANT = 3939.74,
SERVICESINCOME07COEF = 0.1428,
SERVICESHHSIZECOEF = 102.47;
return (SERVICESCONSTANT + SERVICESINCOME07COEF * locale.INCOME2007 + SERVICESHHSIZECOEF * locale.HHSIZE);