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Agenda - 10-07-2008- 7b
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Agenda - 10-07-2008- 7b
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10/7/2008 2:08:48 PM
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10/7/2008 12:55:08 PM
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BOCC
Date
10/7/2008
Meeting Type
Regular Meeting
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Agenda
Agenda Item
7b
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Minutes - 20081007
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\Board of County Commissioners\Minutes - Approved\2000's\2008
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2~6 <br />Sn1a~t Growth -- .As Seen From the Air <br />C®nvenient Neighborhood., Slip the Car <br />John W. Holtzclaw <br />Consultant, Natural Resources Defense Council; and Chair, Siena Club Transportation Com. <br />1508 Taylor, San Francisco CA 94133 <br />(Frese~zted at the Air & YYaste Management Association's 93rd Annual Meeting & Exhibition, 23 June 2000, Salt Lake <br />City, U7) <br />ABSTRACT <br />The design of our urban areas and their transportation systems strongly influences emissions of <br />urban air pollutants. Smart Growth can increase neighborhood convenience, consequently <br />reducing driving to one-fourth or less, by: <br />® increasing neighborhood density to raise the number of nearby destinations, <br />including markets, restaurants and other commerce and services in residential neighborhoods <br />(mixed-use), <br />® locating neighborhoods close to job centers, <br />a providing safe, attractive and convenient pedestrian and bicycle conditions, <br />® limiting parking; and <br />® providing frequent, convenient, affordable and safe public transit. <br />Such neighborhoods encourage wallcing, bicycling and use of transit for most trips. Equations <br />developed from research using all these variables except parking in the Chicago, Los Angeles and <br />San Francisco regions predicts 79 to 96% of the variance in auto ownership and 80 to 94% of the <br />variance in driving (vehicle miles traveled -- VMT) for neighborhoods within those regions. <br />Residential density is the most effective urban variable in predicting auto ownership and driving. <br />The next most effective variable is the amount of nearby public transit. Finally comes pedestrian <br />and bicycle friendliness, including the fineness of the street grid, provision of public sidewallcs and <br />weather pxotection, location of buildings close to the sidewalk rather than behind parking lots, and <br />trafl=lc safety. Center proximity slightly improved the prediction of VMT in the San Francisco <br />area, the only area where data was available. We had no measure of the amount of private and <br />public parking by neighborhood. The success of these neighborhoods in attracting and retaining <br />residents also depends upon: <br />® nearby parks, creeks, recreation areas, and other open spaces and wildlife habitat, <br />® attractive, quality architecture of the neighborhood and buildings, <br />® quality construction, built to last much longer than housing or shopping centers located in <br />.sprawl. <br />INTRODUCTION <br />Motor Vehicle Pollution <br />Motor vehicles are the single largest source of urban air pollution and a major source of water <br />pollution. In the San Francisco Bay Area, for instance, on-road vehicles emit 49% of the reactive <br />
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