ORCID Profile
0000-0002-9309-3626
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Urban planning and health | Epidemiological modelling | Urban and regional planning | Social determinants of health |
Publisher: Springer Science and Business Media LLC
Date: 12-2017
Publisher: Informa UK Limited
Date: 06-07-2020
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 09-2017
Publisher: Springer Science and Business Media LLC
Date: 03-02-2016
Publisher: Elsevier BV
Date: 05-2019
Publisher: Informa UK Limited
Date: 10-03-2016
Publisher: BMJ
Date: 09-2016
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 10-2018
Publisher: Informa UK Limited
Date: 04-05-2022
Publisher: American Public Health Association
Date: 12-2015
Abstract: Objectives. We examined associations between specific public open space (POS) attributes and recreational walking to local POS. Methods. Between October 2004 and December 2006, 1465 adults of the RESIDential Environments Project, conducted in Perth, Australia, reported whether they walk to a POS for recreation. For each participant, we identified all open spaces larger than 0.8 hectares within 1.6 kilometers from home. On the basis of field audit data, we created 3 scores (presence, count, size-weighted presence) for 19 specific open space attributes. Results. With logistic regression analyses, we found that walking to a POS was associated with the presence of gardens, grassed areas, walking paths, water features, wildlife, amenities, dog-related facilities, and off-leash areas for dogs. It was also associated with the highest number of these attributes in a single open space, but not with the total number of attributes in all POSs within 1.6 kilometers of home. Conclusions. Building 1 high-quality local park may be more effective in promoting recreational walking than is providing many average-quality parks.
Publisher: Center for Transportation Studies
Date: 10-10-2018
Abstract: Walkability indices can guide planning and policy for more sustainable and liveble cities. Land-use mix is an important component of walkability that can be measured in a number of ways. Many land-use mix measures require fine-scaled land-use data that are not always available, especially when analyzing walkability across larger geographic extents. This study investigated the feasibility of calculating a national walkability index in Australia, using metropolitan Melbourne as a case study. The study focused on the dual challenges of selecting an appropriate measure of land-use mix and identifying an appropriate land-use data source. We calculated an entropy land-use mix measure with three different Australian land-use datasets. Our comparison of the resulting land-use mix measures highlighted the differences in the land-use datasets and led to our conclusion that none of the three land-use datasets was appropriate for use in a national land-use mix measure. Therefore, we also developed two new exploratory “intensity” measures of land use — daily living and local living — that were able to be calculated nationally with readily available data. Modelled associations with transport walking and comparisons with the entropy land-use mix measures indicate that these new measures were appropriate for assessing national land use in a national walkability index.
Publisher: SAGE Publications
Date: 07-2018
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 10-1970
DOI: 10.1016/J.YPMED.2014.07.041
Abstract: This study investigated the cost-effectiveness of installing sidewalks to increase levels of transport-walking. Secondary analysis using logistic regression established the association of sidewalks with transport-walking using two transport-walking thresholds of 150 and 60 min/week using Western Australian data (n=1394) from 1995 to 2000. Minimum, moderate and maximum interventions were defined, associated respectively with one sidewalk, at least one sidewalk and sidewalks on both sides of the street. Costs, average and incremental cost-effectiveness ratios were calculated for each intervention and expressed as 'the cost per person who walks for transport for more than 150 min/week (60 min/week) after the installation of new sidewalks'. A sensitivity analysis examined the robustness of the incremental cost-effectiveness ratios to varying model inputs. Costs are in 2012 Australian dollars. A positive relationship was found between the presence of sidewalks and transport-walking for both transport-walking thresholds of 150 and 60 min/week. The minimum intervention was found to be the most cost-effective at $2330 erson and $674 erson for the 150 and 60 min/week transport-walking thresholds respectively. Increasing the proportion of people transport-walking and increasing population density by 50% improved the cost-effectiveness of installing side-walks to $346 erson. To increase levels of transport-walking, retrofitting streets with one sidewalk is most cost-effective.
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.YPMED.2017.11.009
Abstract: The built environment has a significant influence on population levels of physical activity (PA) and therefore health. However, PA-related health benefits are seldom considered in transport and urban planning (i.e. built environment interventions) cost-benefit analysis. Cost-benefit analysis implies that the benefits of any initiative are valued in monetary terms to make them commensurable with costs. This leads to the need for monetised values of the health benefits of PA. The aim of this study was to explore a method for the incorporation of monetised PA-related health benefits in cost-benefit analysis of built environment interventions. Firstly, we estimated the change in population level of PA attributable to a change in the built environment due to the intervention. Then, changes in population levels of PA were translated into monetary values. For the first step we used estimates from the literature for the association of built environment features with physical activity outcomes. For the second step we used the multi-cohort proportional multi-state life table model to predict changes in health-adjusted life years and health care costs as a function of changes in PA. Finally, we monetised health-adjusted life years using the value of a statistical life year. Future research could adapt these methods to assess the health and economic impacts of specific urban development scenarios by working in collaboration with urban planners.
Publisher: Informa UK Limited
Date: 06-12-2021
Publisher: Informa UK Limited
Date: 05-09-2022
Publisher: Informa UK Limited
Date: 06-04-2017
Publisher: Springer International Publishing
Date: 14-07-2018
Publisher: Elsevier BV
Date: 06-2016
No related organisations have been discovered for Lucy Gunn.
Start Date: 2023
End Date: 12-2025
Amount: $405,763.00
Funder: Australian Research Council
View Funded Activity