A shift from motorised travel to active transport: What are the potential health gains for an Australian city?

An alarmingly high proportion of the Australian adult population does not meet national physical activity guidelines (57%). This is concerning because physical inactivity is a risk factor for several chronic diseases. In recent years, an increasing emphasis has been placed on the potential for trans...

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Bibliographic Details
Published in:PloS one 2017-10, Vol.12 (10), p.e0184799
Main Authors: Zapata-Diomedi, Belen, Knibbs, Luke D, Ware, Robert S, Heesch, Kristiann C, Tainio, Marko, Woodcock, James, Veerman, J Lennert
Format: Article
Language:English
Subjects:
Active transport
Adult
Air pollution
Australia
Bicycling
Biology and Life Sciences
Cancer
Chronic illnesses
Cities
Clinical medicine
Costs
Cycling
Data collection
Diabetes
Drug dosages
Economic aspects
Engineering and Technology
Epidemiology
Exercise
Exposure
Female
Health care
Health Care Costs
Health care expenditures
Health risks
Health services
Households
Humans
Injuries
Internet
Male
Management
Markov Chains
Medical transportation
Medicine and Health Sciences
Mortality
Mortality risk
Motor Vehicles
Outdoor air quality
Particulate Matter
Pedestrians
Physical activity
Physical fitness
Population
Prevalence
Public Health
Public transportation
Respiratory diseases
Risk Factors
Roads & highways
Sensitivity analysis
Studies
Traffic
Transportation
Trauma
Travel
Urban planning
Walking
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Summary:An alarmingly high proportion of the Australian adult population does not meet national physical activity guidelines (57%). This is concerning because physical inactivity is a risk factor for several chronic diseases. In recent years, an increasing emphasis has been placed on the potential for transport and urban planning to contribute to increased physical activity via greater uptake of active transport (walking, cycling and public transport). In this study, we aimed to estimate the potential health gains and savings in health care costs of an Australian city achieving its stated travel targets for the use of active transport. Additional active transport time was estimated for the hypothetical scenario of Brisbane (1.1 million population 2013) in Australia achieving specified travel targets. A multi-state life table model was used to estimate the number of health-adjusted life years, life-years, changes in the burden of diseases and injuries, and the health care costs associated with changes in physical activity, fine particle (
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0184799