Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?

Jerome N. Rachele, Vincent Learnihan, Hannah M. Badland, Suzanne Mavoa, Gavin Turrell, Billie Giles-Corti

    Research output: Contribution to journalArticle

    • 1 Citations

    Abstract

    Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.
    LanguageEnglish
    Pages13-21
    Number of pages9
    JournalJournal of Physical Activity Health
    Volume15
    Issue number1
    DOIs
    StatePublished - Jan 2018

    Cite this

    Rachele, Jerome N. ; Learnihan, Vincent ; Badland, Hannah M. ; Mavoa, Suzanne ; Turrell, Gavin ; Giles-Corti, Billie. / Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?. In: Journal of Physical Activity Health. 2018 ; Vol. 15, No. 1. pp. 13-21
    @article{066f772588da4cd690649fc9b4deb406,
    title = "Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?",
    abstract = "Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.",
    keywords = "active transport, built environment, epidemiology, physical activity, policy, walkability",
    author = "Rachele, {Jerome N.} and Vincent Learnihan and Badland, {Hannah M.} and Suzanne Mavoa and Gavin Turrell and Billie Giles-Corti",
    year = "2018",
    month = "1",
    doi = "10.1123/jpah.2016-0693",
    language = "English",
    volume = "15",
    pages = "13--21",
    journal = "Journal of Physical Activity Health",
    issn = "1543-3080",
    publisher = "Human Kinetics Publishers Inc.",
    number = "1",

    }

    Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport? / Rachele, Jerome N.; Learnihan, Vincent; Badland, Hannah M.; Mavoa, Suzanne; Turrell, Gavin; Giles-Corti, Billie.

    In: Journal of Physical Activity Health, Vol. 15, No. 1, 01.2018, p. 13-21.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Are Measures Derived From Land Use and Transport Policies Associated With Walking for Transport?

    AU - Rachele,Jerome N.

    AU - Learnihan,Vincent

    AU - Badland,Hannah M.

    AU - Mavoa,Suzanne

    AU - Turrell,Gavin

    AU - Giles-Corti,Billie

    PY - 2018/1

    Y1 - 2018/1

    N2 - Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.

    AB - Background: There is growing urgency for higher quality evidence to inform policy. This study developed geographic information system spatial measures based on land use and transport policies currently used in selected Australian states to assess which, if any, of these measures were associated with walking for transport. Methods: Overall, 6901 participants from 570 neighborhoods in Brisbane, Australia, were included. Participants reported their minutes of walking for transport in the previous week. After a review of state-level land use and transport policies relevant to walking for transport across Australia, 7 geographic information system measures were developed and tested based on 9 relevant policies. Data were analyzed using multilevel multinomial logistic regression. Results: Greater levels of walking for transport were associated with more highly connected street networks, the presence of public transport stops, and having at least 2 public transport services per hour. Conversely, neighborhoods with shorter cul-de-sac lengths had lower levels of walking for transport. There was no evidence of associations between walking for transport and street block lengths less than 240 m or traffic volumes. Conclusions: These findings highlight the need for urban design and transport policies developed by governments to be assessed for their impact on transport-related physical activity.

    KW - active transport

    KW - built environment

    KW - epidemiology

    KW - physical activity

    KW - policy

    KW - walkability

    U2 - 10.1123/jpah.2016-0693

    DO - 10.1123/jpah.2016-0693

    M3 - Article

    VL - 15

    SP - 13

    EP - 21

    JO - Journal of Physical Activity Health

    T2 - Journal of Physical Activity Health

    JF - Journal of Physical Activity Health

    SN - 1543-3080

    IS - 1

    ER -