Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area
Some claim that car-dependent cities contribute to obesity by discouraging walking and bicycling. In this article, we use household activity data from the San Francisco region to study the links between urban environments and nonmotorized travel. We used factor analysis to represent the urban design...
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Veröffentlicht in: | American journal of public health (1971) 2003-09, Vol.93 (9), p.1478-1483 |
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creator | Cervero, Robert Duncan, Michael |
description | Some claim that car-dependent cities contribute to obesity by discouraging walking and bicycling. In this article, we use household activity data from the San Francisco region to study the links between urban environments and nonmotorized travel. We used factor analysis to represent the urban design and land-use diversity dimensions of built environments. Combining factor scores with control variables, like steep terrain, that gauge impediments to walking and bicycling, we estimated discrete-choice models. Built-environment factors exerted far weaker, although not inconsequential, influences on walking and bicycling than control variables. Stronger evidence on the importance of urban landscapes in shaping foot and bicycle travel is needed if the urban planning and public health professions are to forge an effective alliance against car-dependent sprawl. |
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In this article, we use household activity data from the San Francisco region to study the links between urban environments and nonmotorized travel. We used factor analysis to represent the urban design and land-use diversity dimensions of built environments. Combining factor scores with control variables, like steep terrain, that gauge impediments to walking and bicycling, we estimated discrete-choice models. Built-environment factors exerted far weaker, although not inconsequential, influences on walking and bicycling than control variables. Stronger evidence on the importance of urban landscapes in shaping foot and bicycle travel is needed if the urban planning and public health professions are to forge an effective alliance against car-dependent sprawl.</description><identifier>ISSN: 0090-0036</identifier><identifier>EISSN: 1541-0048</identifier><identifier>DOI: 10.2105/AJPH.93.9.1478</identifier><identifier>PMID: 12948966</identifier><identifier>CODEN: AJPEAG</identifier><language>eng</language><publisher>Washington, DC: Am Public Health Assoc</publisher><subject>Bicycles ; Bicycling ; Bicycling - statistics & numerical data ; Biological and medical sciences ; Censuses ; Choice Behavior ; City Planning ; Community Health Planning ; Data ; Data Collection ; Environment ; Environment Design ; Environment. Living conditions ; Factor analysis ; Factor Analysis, Statistical ; Geographic information systems ; Health risk assessment ; Household activities ; Households ; Housing. Living conditions ; Humans ; Living conditions ; Medical sciences ; Neighborhoods ; Physical activity ; Population Density ; Promotion ; Public Health ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Public transportation ; Reviewing the Evidence ; San Francisco ; San Francisco Bay Area ; Social Environment ; Travel ; Urban areas ; Urban landscapes ; Urban planning ; Urbanization ; USA ; Utility functions ; Variables ; Walking ; Walking - statistics & numerical data</subject><ispartof>American journal of public health (1971), 2003-09, Vol.93 (9), p.1478-1483</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright American Public Health Association Sep 2003</rights><rights>American Journal of Public Health 2003 2003</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c617t-317a5d7d04829e4993de84cc010873b4dd63c2d0f05a5f32ff5736c56ed8953c3</citedby><cites>FETCH-LOGICAL-c617t-317a5d7d04829e4993de84cc010873b4dd63c2d0f05a5f32ff5736c56ed8953c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447996/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447996/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27865,27923,27924,30999,53790,53792</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15103191$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12948966$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cervero, Robert</creatorcontrib><creatorcontrib>Duncan, Michael</creatorcontrib><title>Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area</title><title>American journal of public health (1971)</title><addtitle>Am J Public Health</addtitle><description>Some claim that car-dependent cities contribute to obesity by discouraging walking and bicycling. In this article, we use household activity data from the San Francisco region to study the links between urban environments and nonmotorized travel. We used factor analysis to represent the urban design and land-use diversity dimensions of built environments. Combining factor scores with control variables, like steep terrain, that gauge impediments to walking and bicycling, we estimated discrete-choice models. Built-environment factors exerted far weaker, although not inconsequential, influences on walking and bicycling than control variables. Stronger evidence on the importance of urban landscapes in shaping foot and bicycle travel is needed if the urban planning and public health professions are to forge an effective alliance against car-dependent sprawl.</description><subject>Bicycles</subject><subject>Bicycling</subject><subject>Bicycling - statistics & numerical data</subject><subject>Biological and medical sciences</subject><subject>Censuses</subject><subject>Choice Behavior</subject><subject>City Planning</subject><subject>Community Health Planning</subject><subject>Data</subject><subject>Data Collection</subject><subject>Environment</subject><subject>Environment Design</subject><subject>Environment. Living conditions</subject><subject>Factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Geographic information systems</subject><subject>Health risk assessment</subject><subject>Household activities</subject><subject>Households</subject><subject>Housing. Living conditions</subject><subject>Humans</subject><subject>Living conditions</subject><subject>Medical sciences</subject><subject>Neighborhoods</subject><subject>Physical activity</subject><subject>Population Density</subject><subject>Promotion</subject><subject>Public Health</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Public transportation</subject><subject>Reviewing the Evidence</subject><subject>San Francisco</subject><subject>San Francisco Bay Area</subject><subject>Social Environment</subject><subject>Travel</subject><subject>Urban areas</subject><subject>Urban landscapes</subject><subject>Urban planning</subject><subject>Urbanization</subject><subject>USA</subject><subject>Utility functions</subject><subject>Variables</subject><subject>Walking</subject><subject>Walking - statistics & numerical data</subject><issn>0090-0036</issn><issn>1541-0048</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkU1vEzEQhi0EomnhyhFZSMCFLJ7117oHpLRqKCgSCKg4Wo7tzW7w7gY7aZV_j9NEBLhw8kh-_M6MH4SeASlKIPzt5OPn60LRQhXAZPUAjYAzGBPCqodoRIgiuabiBJ2mtCQEQHF4jE6gVKxSQozQl-8m_Gj7xRt80dqtDfel6R2-iXPT41kukzUrn87x1W3rfG89nsahw-vG46-ZmEbT2zbZAV-YLZ5Eb56gR7UJyT89nGfoZnr17fJ6PPv0_sPlZDa2AuR6TEEa7qTLo5bKM6Wo8xWzlgCpJJ0z5wS1pSM14YbXtKxrLqmwXHhXKU4tPUPv9rmrzbzzzvp-HU3Qq9h2Jm71YFr9903fNnox3GpgTColcsCrQ0Acfm58WusuL-JDML0fNknndkQB_B_kkghJ78EX_4DLYRP7_Au6BE4UL_kOKvaQjUNK0de_Rwaid1L1TqpWVCu9k5ofPP9z0SN-sJiBlwfAZFmh3is5chwIBQWZe73nmnbR3LXR69SZEHIsaLNcNceWvwAk4rWj</recordid><startdate>20030901</startdate><enddate>20030901</enddate><creator>Cervero, Robert</creator><creator>Duncan, Michael</creator><general>Am Public Health Assoc</general><general>American Public Health Association</general><general>American Journal of Public Health 2003</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7RV</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88A</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>KC-</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7QJ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20030901</creationdate><title>Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area</title><author>Cervero, Robert ; Duncan, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c617t-317a5d7d04829e4993de84cc010873b4dd63c2d0f05a5f32ff5736c56ed8953c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Bicycles</topic><topic>Bicycling</topic><topic>Bicycling - statistics & numerical data</topic><topic>Biological and medical sciences</topic><topic>Censuses</topic><topic>Choice Behavior</topic><topic>City Planning</topic><topic>Community Health Planning</topic><topic>Data</topic><topic>Data Collection</topic><topic>Environment</topic><topic>Environment Design</topic><topic>Environment. 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Urban Landscapes: Evidence From the San Francisco Bay Area</atitle><jtitle>American journal of public health (1971)</jtitle><addtitle>Am J Public Health</addtitle><date>2003-09-01</date><risdate>2003</risdate><volume>93</volume><issue>9</issue><spage>1478</spage><epage>1483</epage><pages>1478-1483</pages><issn>0090-0036</issn><eissn>1541-0048</eissn><coden>AJPEAG</coden><abstract>Some claim that car-dependent cities contribute to obesity by discouraging walking and bicycling. 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subjects | Bicycles Bicycling Bicycling - statistics & numerical data Biological and medical sciences Censuses Choice Behavior City Planning Community Health Planning Data Data Collection Environment Environment Design Environment. Living conditions Factor analysis Factor Analysis, Statistical Geographic information systems Health risk assessment Household activities Households Housing. Living conditions Humans Living conditions Medical sciences Neighborhoods Physical activity Population Density Promotion Public Health Public health. Hygiene Public health. Hygiene-occupational medicine Public transportation Reviewing the Evidence San Francisco San Francisco Bay Area Social Environment Travel Urban areas Urban landscapes Urban planning Urbanization USA Utility functions Variables Walking Walking - statistics & numerical data |
title | Walking, Bicycling, and Urban Landscapes: Evidence From the San Francisco Bay Area |
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