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224 <br />Chicago <br /> <br />-0.2797 <br />Veh _ H 1 <br />I 1 <br />-1.9029.955 + 1 915 <br />_ O.ODD142 $ <br />C P) <br />- e <br /> <br /> <br />1 <br /> <br />P ooess <br />+ 0.4893 <br />~~Tr + 2.960- ' <br /> <br />96.3% <br />~ <br />Hh H <br />VMT H- -o.os47 <br />-116200.1662 + <br />~ P <br />Cl + 0.00653 <br />~~l 1 <br />- 0.0249 Ped ~- 0.0818 P - 22136 I <br />46.8% <br />Veh <br />TA H J <br />VMT <br />Veh VMT <br />_ <br />Hh Hh x Veh 93.5% <br />Los Angeles <br /> <br />-0.0926 <br />Veh H1 <br />=1.7326.155+ <br />J 1 0.8278 <br />_ 0.000131 ~ <br />P) <br />-e <br /> <br /> <br />1 <br /> <br />P o tees <br />+0.7936 <br />1eTr+30.796-' <br /> <br />78.6% <br />~ <br />~ H <br />VMT H -o.oesl <br />~ <br />-116240.3432+ P <br />1 <br />C1+0.01555 <br />~1- <br />0.1078 Ped)-0.04095~p-22136 <br />42.0% <br />TA <br />Veh H <br />J <br />VMT <br />Veh VMT <br />_ <br />Hh HIi X Veh 80.0% <br />San Francisco <br /> <br />-0.3471 <br />Veh _ H <br />- 4.7221 22.520 + <br />~ i. 386 <br />_ O.OD0112 $ <br />( P, <br />1- e C <br /> <br />P 02336 <br />l + 1.0519 <br />~~Tr + 60.312- ' <br /> <br />90.2% <br />~ <br />HIz H <br />--0.0419 <br />~~ =103860.5041+ ~ I <br />~1+.0.02759 H~ <br />~1- <br />0.0704 Ped ~-0.01743 p -22136 <br />43.8% <br />J ) <br />VMT <br />Veh VMT <br />_ <br />Hh Hh x Veh 87.1% <br />* H/RA is Households/Residential Acres, H/'TA is Households/Total Acre, $/P is Income/Capita, P/H is <br />Persons/Hh, Tr is Zonal Transit Density and Ped is PedBicycle Friendliness. <br />characteristics to predict average auto ownership and mileage by neighborhood in three of major <br />U.S. regions. Extending the analyses to other metropolitan areas is a first step. Extending the <br />analysis from vehicles and VMT to vehicle trips and vehicle starts would increase its applicability <br />to air quality analysis. Expanding the analysis from just the characteristics of residential . <br />neighborhoods to the: concentration ox dispersal of jobs or commerce would extend its utility to <br />air quality analysis. ' <br />This study was made in order to quantify the transportation savings of average families living in <br />convenient location efficient neighborhoods, allowing them to qualify for Location Efficient <br />MortgagessM. LEMs allow families to apply these transportation savings to qualifying for a higher <br />Figure 2. How residential density and transit impact VIvIT/Hh using the San Francisco area equation. <br />