Collaboration between physical activity researchers and transport planners

A qualitative study of attitudes to data driven approaches

Katie Crist*, Khalisa Bolling, Jasper Schipperijn, Samantha Hurst, Michelle Takemoto, James F. Sallis, Hannah Badland, Jacqueline Kerr

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Resumé

Collaboration between physical activity (PA) researchers and transport planners is a recommended strategy to combat the physical inactivity epidemic. Data collected by PA researchers could be used to identify, implement and evaluate active transport (AT) projects. However, despite aligned interests, researchers and transport planners rarely collaborate. This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups. Semi-structured interviews were conducted with 17 transport modeling, planning or engineering professionals, transport agency directors, and academics with relevant expertise in health or transport planning. A thematic analysis was conducted following structural coding by two researchers. The analysis revealed that geographic and physical activity data that are current, local, objective and specific to individual AT trips would improve upon currently available data sources. Informants believed that research collaboration could increase capacity by providing unbiased data and access to students to assist with targeted research. Collaboration could also increase the relevance of academic research in applied settings. Identified barriers included: setting up contracts, lack of policy and planning mandates that include health, a disconnect between research interests and agency needs, and competing priorities. Researchers may need to initiate discussions with AT practitioners until health is formally included in the planning process as the first step in understanding data needs and identifying mutual research interests. However, regulations that link health and physical activity metrics to funding, as well as training programs that incorporate public health and transport planning, are needed to encourage cross collaboration.

OriginalsprogEngelsk
TidsskriftJournal of Transport & Health
Vol/bind8
Sider (fra-til)157-168
ISSN2214-1405
DOI
StatusUdgivet - 1. mar. 2018

Fingeraftryk

physical activity
planning process
academic research
accelerometer
public transport
public health
GPS
student
engineering
health
modeling
transport planning

Citer dette

Crist, Katie ; Bolling, Khalisa ; Schipperijn, Jasper ; Hurst, Samantha ; Takemoto, Michelle ; Sallis, James F. ; Badland, Hannah ; Kerr, Jacqueline. / Collaboration between physical activity researchers and transport planners : A qualitative study of attitudes to data driven approaches. I: Journal of Transport & Health. 2018 ; Bind 8. s. 157-168.
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abstract = "Collaboration between physical activity (PA) researchers and transport planners is a recommended strategy to combat the physical inactivity epidemic. Data collected by PA researchers could be used to identify, implement and evaluate active transport (AT) projects. However, despite aligned interests, researchers and transport planners rarely collaborate. This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups. Semi-structured interviews were conducted with 17 transport modeling, planning or engineering professionals, transport agency directors, and academics with relevant expertise in health or transport planning. A thematic analysis was conducted following structural coding by two researchers. The analysis revealed that geographic and physical activity data that are current, local, objective and specific to individual AT trips would improve upon currently available data sources. Informants believed that research collaboration could increase capacity by providing unbiased data and access to students to assist with targeted research. Collaboration could also increase the relevance of academic research in applied settings. Identified barriers included: setting up contracts, lack of policy and planning mandates that include health, a disconnect between research interests and agency needs, and competing priorities. Researchers may need to initiate discussions with AT practitioners until health is formally included in the planning process as the first step in understanding data needs and identifying mutual research interests. However, regulations that link health and physical activity metrics to funding, as well as training programs that incorporate public health and transport planning, are needed to encourage cross collaboration.",
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Collaboration between physical activity researchers and transport planners : A qualitative study of attitudes to data driven approaches. / Crist, Katie; Bolling, Khalisa; Schipperijn, Jasper; Hurst, Samantha; Takemoto, Michelle; Sallis, James F.; Badland, Hannah; Kerr, Jacqueline.

I: Journal of Transport & Health, Bind 8, 01.03.2018, s. 157-168.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Collaboration between physical activity researchers and transport planners

T2 - A qualitative study of attitudes to data driven approaches

AU - Crist, Katie

AU - Bolling, Khalisa

AU - Schipperijn, Jasper

AU - Hurst, Samantha

AU - Takemoto, Michelle

AU - Sallis, James F.

AU - Badland, Hannah

AU - Kerr, Jacqueline

PY - 2018/3/1

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N2 - Collaboration between physical activity (PA) researchers and transport planners is a recommended strategy to combat the physical inactivity epidemic. Data collected by PA researchers could be used to identify, implement and evaluate active transport (AT) projects. However, despite aligned interests, researchers and transport planners rarely collaborate. This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups. Semi-structured interviews were conducted with 17 transport modeling, planning or engineering professionals, transport agency directors, and academics with relevant expertise in health or transport planning. A thematic analysis was conducted following structural coding by two researchers. The analysis revealed that geographic and physical activity data that are current, local, objective and specific to individual AT trips would improve upon currently available data sources. Informants believed that research collaboration could increase capacity by providing unbiased data and access to students to assist with targeted research. Collaboration could also increase the relevance of academic research in applied settings. Identified barriers included: setting up contracts, lack of policy and planning mandates that include health, a disconnect between research interests and agency needs, and competing priorities. Researchers may need to initiate discussions with AT practitioners until health is formally included in the planning process as the first step in understanding data needs and identifying mutual research interests. However, regulations that link health and physical activity metrics to funding, as well as training programs that incorporate public health and transport planning, are needed to encourage cross collaboration.

AB - Collaboration between physical activity (PA) researchers and transport planners is a recommended strategy to combat the physical inactivity epidemic. Data collected by PA researchers could be used to identify, implement and evaluate active transport (AT) projects. However, despite aligned interests, researchers and transport planners rarely collaborate. This study utilized qualitative methods to 1) gain an in-depth understanding of the data utilized in AT planning, 2) explore the utility of Global Positioning Systems (GPS) and accelerometer data in supporting the planning process, 3) identify the benefits and barriers of researcher and transport agency collaboration, and 4) identify the facilitators to collaboration for these groups. Semi-structured interviews were conducted with 17 transport modeling, planning or engineering professionals, transport agency directors, and academics with relevant expertise in health or transport planning. A thematic analysis was conducted following structural coding by two researchers. The analysis revealed that geographic and physical activity data that are current, local, objective and specific to individual AT trips would improve upon currently available data sources. Informants believed that research collaboration could increase capacity by providing unbiased data and access to students to assist with targeted research. Collaboration could also increase the relevance of academic research in applied settings. Identified barriers included: setting up contracts, lack of policy and planning mandates that include health, a disconnect between research interests and agency needs, and competing priorities. Researchers may need to initiate discussions with AT practitioners until health is formally included in the planning process as the first step in understanding data needs and identifying mutual research interests. However, regulations that link health and physical activity metrics to funding, as well as training programs that incorporate public health and transport planning, are needed to encourage cross collaboration.

KW - Public health

KW - Active transport

KW - Physical activity

KW - Research translation

KW - Evidence-based practice

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DO - 10.1016/j.jth.2017.11.142

M3 - Journal article

VL - 8

SP - 157

EP - 168

JO - Journal of Transport & Health

JF - Journal of Transport & Health

SN - 2214-1405

ER -