Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work
Commuting provides opportunities for regular physical activity which can reduce the risk of chronic disease. Commuters' mode of travel may be shaped by their environment, but understanding of which specific environmental characteristics are most important and might form targets for intervention...
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description | Commuting provides opportunities for regular physical activity which can reduce the risk of chronic disease. Commuters' mode of travel may be shaped by their environment, but understanding of which specific environmental characteristics are most important and might form targets for intervention is limited. This study investigated associations between mode choice and a range of objectively assessed environmental characteristics.
Participants in the Commuting and Health in Cambridge study reported where they lived and worked, their usual mode of travel to work and a variety of socio-demographic characteristics. Using geographic information system (GIS) software, 30 exposure variables were produced capturing characteristics of areas around participants' homes and workplaces and their shortest modelled routes to work. Associations between usual mode of travel to work and personal and environmental characteristics were investigated using multinomial logistic regression.
Of the 1124 respondents, 50% reported cycling or walking as their usual mode of travel to work. In adjusted analyses, home-work distance was strongly associated with mode choice, particularly for walking. Lower odds of walking or cycling rather than driving were associated with a less frequent bus service (highest versus lowest tertile: walking OR 0.61 [95% CI 0.20-1.85]; cycling OR 0.43 [95% CI 0.23-0.83]), low street connectivity (OR 0.22, [0.07-0.67]; OR 0.48 [0.26-0.90]) and free car parking at work (OR 0.24 [0.10-0.59]; OR 0.55 [0.32-0.95]). Participants were less likely to cycle if they had access to fewer destinations (leisure facilities, shops and schools) close to work (OR 0.36 [0.21-0.62]) and a railway station further from home (OR 0.53 [0.30-0.93]). Covariates strongly predicted travel mode (pseudo r-squared 0.74).
Potentially modifiable environmental characteristics, including workplace car parking, street connectivity and access to public transport, are associated with travel mode choice, and could be addressed as part of transport policy and infrastructural interventions to promote active commuting. |
doi_str_mv | 10.1371/journal.pone.0067575 |
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Participants in the Commuting and Health in Cambridge study reported where they lived and worked, their usual mode of travel to work and a variety of socio-demographic characteristics. Using geographic information system (GIS) software, 30 exposure variables were produced capturing characteristics of areas around participants' homes and workplaces and their shortest modelled routes to work. Associations between usual mode of travel to work and personal and environmental characteristics were investigated using multinomial logistic regression.
Of the 1124 respondents, 50% reported cycling or walking as their usual mode of travel to work. In adjusted analyses, home-work distance was strongly associated with mode choice, particularly for walking. Lower odds of walking or cycling rather than driving were associated with a less frequent bus service (highest versus lowest tertile: walking OR 0.61 [95% CI 0.20-1.85]; cycling OR 0.43 [95% CI 0.23-0.83]), low street connectivity (OR 0.22, [0.07-0.67]; OR 0.48 [0.26-0.90]) and free car parking at work (OR 0.24 [0.10-0.59]; OR 0.55 [0.32-0.95]). Participants were less likely to cycle if they had access to fewer destinations (leisure facilities, shops and schools) close to work (OR 0.36 [0.21-0.62]) and a railway station further from home (OR 0.53 [0.30-0.93]). Covariates strongly predicted travel mode (pseudo r-squared 0.74).
Potentially modifiable environmental characteristics, including workplace car parking, street connectivity and access to public transport, are associated with travel mode choice, and could be addressed as part of transport policy and infrastructural interventions to promote active commuting.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0067575</identifier><identifier>PMID: 23840743</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Adults ; Aged ; Automobile Driving ; Bicycles ; Bicycling ; Chronic diseases ; Chronic illnesses ; Commuting ; Cycling ; Demographic variables ; Demographics ; Environmental assessment ; Epidemiology ; Exercise ; Female ; Geographic information systems ; Health risks ; Humans ; Local transit ; Male ; Medical research ; Medicine ; Middle Aged ; Modal choice ; Neighborhoods ; Occupational health ; Parking ; Physical activity ; Physical fitness ; Population ; Public health ; Public transportation ; Railroads ; Railway stations ; Regression analysis ; Remote sensing ; Residence Characteristics ; Satellite navigation systems ; Schools ; Social and Behavioral Sciences ; Studies ; Topography ; Transportation ; Transportation planning ; Travel ; United Kingdom ; Walking ; Workplace ; Workplaces ; Young Adult</subject><ispartof>PloS one, 2013-06, Vol.8 (6), p.e67575</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Dalton et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2013 Dalton et al 2013 Dalton et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-afee4fe24a7bddf714513bca7aebbf39a0508af390a3f810ee42006ba8c19cd93</citedby><cites>FETCH-LOGICAL-c692t-afee4fe24a7bddf714513bca7aebbf39a0508af390a3f810ee42006ba8c19cd93</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/PMC3686740/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686740/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2930,23873,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23840743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Harry</contributor><creatorcontrib>Dalton, Alice M</creatorcontrib><creatorcontrib>Jones, Andrew P</creatorcontrib><creatorcontrib>Panter, Jenna R</creatorcontrib><creatorcontrib>Ogilvie, David</creatorcontrib><title>Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Commuting provides opportunities for regular physical activity which can reduce the risk of chronic disease. Commuters' mode of travel may be shaped by their environment, but understanding of which specific environmental characteristics are most important and might form targets for intervention is limited. This study investigated associations between mode choice and a range of objectively assessed environmental characteristics.
Participants in the Commuting and Health in Cambridge study reported where they lived and worked, their usual mode of travel to work and a variety of socio-demographic characteristics. Using geographic information system (GIS) software, 30 exposure variables were produced capturing characteristics of areas around participants' homes and workplaces and their shortest modelled routes to work. Associations between usual mode of travel to work and personal and environmental characteristics were investigated using multinomial logistic regression.
Of the 1124 respondents, 50% reported cycling or walking as their usual mode of travel to work. In adjusted analyses, home-work distance was strongly associated with mode choice, particularly for walking. Lower odds of walking or cycling rather than driving were associated with a less frequent bus service (highest versus lowest tertile: walking OR 0.61 [95% CI 0.20-1.85]; cycling OR 0.43 [95% CI 0.23-0.83]), low street connectivity (OR 0.22, [0.07-0.67]; OR 0.48 [0.26-0.90]) and free car parking at work (OR 0.24 [0.10-0.59]; OR 0.55 [0.32-0.95]). Participants were less likely to cycle if they had access to fewer destinations (leisure facilities, shops and schools) close to work (OR 0.36 [0.21-0.62]) and a railway station further from home (OR 0.53 [0.30-0.93]). Covariates strongly predicted travel mode (pseudo r-squared 0.74).
Potentially modifiable environmental characteristics, including workplace car parking, street connectivity and access to public transport, are associated with travel mode choice, and could be addressed as part of transport policy and infrastructural interventions to promote active commuting.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Automobile Driving</subject><subject>Bicycles</subject><subject>Bicycling</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Commuting</subject><subject>Cycling</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Environmental assessment</subject><subject>Epidemiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Geographic information systems</subject><subject>Health risks</subject><subject>Humans</subject><subject>Local transit</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Modal choice</subject><subject>Neighborhoods</subject><subject>Occupational health</subject><subject>Parking</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Population</subject><subject>Public health</subject><subject>Public transportation</subject><subject>Railroads</subject><subject>Railway stations</subject><subject>Regression analysis</subject><subject>Remote sensing</subject><subject>Residence Characteristics</subject><subject>Satellite navigation systems</subject><subject>Schools</subject><subject>Social and Behavioral Sciences</subject><subject>Studies</subject><subject>Topography</subject><subject>Transportation</subject><subject>Transportation planning</subject><subject>Travel</subject><subject>United Kingdom</subject><subject>Walking</subject><subject>Workplace</subject><subject>Workplaces</subject><subject>Young 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Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work</title><author>Dalton, Alice M ; Jones, Andrew P ; Panter, Jenna R ; Ogilvie, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-afee4fe24a7bddf714513bca7aebbf39a0508af390a3f810ee42006ba8c19cd93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Automobile Driving</topic><topic>Bicycles</topic><topic>Bicycling</topic><topic>Chronic diseases</topic><topic>Chronic illnesses</topic><topic>Commuting</topic><topic>Cycling</topic><topic>Demographic variables</topic><topic>Demographics</topic><topic>Environmental assessment</topic><topic>Epidemiology</topic><topic>Exercise</topic><topic>Female</topic><topic>Geographic information systems</topic><topic>Health 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dalton, Alice M</au><au>Jones, Andrew P</au><au>Panter, Jenna R</au><au>Ogilvie, David</au><au>Zhang, Harry</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2013-06-19</date><risdate>2013</risdate><volume>8</volume><issue>6</issue><spage>e67575</spage><pages>e67575-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Commuting provides opportunities for regular physical activity which can reduce the risk of chronic disease. Commuters' mode of travel may be shaped by their environment, but understanding of which specific environmental characteristics are most important and might form targets for intervention is limited. This study investigated associations between mode choice and a range of objectively assessed environmental characteristics.
Participants in the Commuting and Health in Cambridge study reported where they lived and worked, their usual mode of travel to work and a variety of socio-demographic characteristics. Using geographic information system (GIS) software, 30 exposure variables were produced capturing characteristics of areas around participants' homes and workplaces and their shortest modelled routes to work. Associations between usual mode of travel to work and personal and environmental characteristics were investigated using multinomial logistic regression.
Of the 1124 respondents, 50% reported cycling or walking as their usual mode of travel to work. In adjusted analyses, home-work distance was strongly associated with mode choice, particularly for walking. Lower odds of walking or cycling rather than driving were associated with a less frequent bus service (highest versus lowest tertile: walking OR 0.61 [95% CI 0.20-1.85]; cycling OR 0.43 [95% CI 0.23-0.83]), low street connectivity (OR 0.22, [0.07-0.67]; OR 0.48 [0.26-0.90]) and free car parking at work (OR 0.24 [0.10-0.59]; OR 0.55 [0.32-0.95]). Participants were less likely to cycle if they had access to fewer destinations (leisure facilities, shops and schools) close to work (OR 0.36 [0.21-0.62]) and a railway station further from home (OR 0.53 [0.30-0.93]). Covariates strongly predicted travel mode (pseudo r-squared 0.74).
Potentially modifiable environmental characteristics, including workplace car parking, street connectivity and access to public transport, are associated with travel mode choice, and could be addressed as part of transport policy and infrastructural interventions to promote active commuting.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23840743</pmid><doi>10.1371/journal.pone.0067575</doi><tpages>e67575</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Adults Aged Automobile Driving Bicycles Bicycling Chronic diseases Chronic illnesses Commuting Cycling Demographic variables Demographics Environmental assessment Epidemiology Exercise Female Geographic information systems Health risks Humans Local transit Male Medical research Medicine Middle Aged Modal choice Neighborhoods Occupational health Parking Physical activity Physical fitness Population Public health Public transportation Railroads Railway stations Regression analysis Remote sensing Residence Characteristics Satellite navigation systems Schools Social and Behavioral Sciences Studies Topography Transportation Transportation planning Travel United Kingdom Walking Workplace Workplaces Young Adult |
title | Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-05T04%3A49%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Neighbourhood,%20Route%20and%20Workplace-Related%20Environmental%20Characteristics%20Predict%20Adults'%20Mode%20of%20Travel%20to%20Work&rft.jtitle=PloS%20one&rft.au=Dalton,%20Alice%20M&rft.date=2013-06-19&rft.volume=8&rft.issue=6&rft.spage=e67575&rft.pages=e67575-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0067575&rft_dat=%3Cgale_plos_%3EA478210450%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1369823971&rft_id=info:pmid/23840743&rft_galeid=A478210450&rft_doaj_id=oai_doaj_org_article_30d1d7b001064cbf86240ea9ebd3641d&rfr_iscdi=true |