2013
DOI: 10.1186/1476-072x-12-58
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Using simple agent-based modeling to inform and enhance neighborhood walkability

Abstract: BackgroundPedestrian-friendly neighborhoods with proximal destinations and services encourage walking and decrease car dependence, thereby contributing to more active and healthier communities. Proximity to key destinations and services is an important aspect of the urban design decision making process, particularly in areas adopting a transit-oriented development (TOD) approach to urban planning, whereby densification occurs within walking distance of transit nodes. Modeling destination access within neighbor… Show more

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Cited by 41 publications
(35 citation statements)
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“…GIS, another popular tool, assigns spatial coordinates to data that can be mapped, and it can map both spatial and nonspatial information (5,11,55). A number of GIS software utilities are available online, such as ArcGIS (54), and limited versions are sometimes made available for free.…”
Section: Discussionmentioning
confidence: 99%
“…GIS, another popular tool, assigns spatial coordinates to data that can be mapped, and it can map both spatial and nonspatial information (5,11,55). A number of GIS software utilities are available online, such as ArcGIS (54), and limited versions are sometimes made available for free.…”
Section: Discussionmentioning
confidence: 99%
“…In our analysis, we used aggregate flow data instead of pair-wise data, an approach that raises the risk of over-smoothing the heterogeneity of the real urban pedestrian flows. To obtain more accurate results, agent-based modelling (Badland et al, 2013) or dynamic location-based accessibility modelling (Järv et al, 2018), should be carried out.…”
Section: Discussionmentioning
confidence: 99%
“…tool is open source and can be used by government, academics and industry to model future land use scenarios anywhere in the world where the required data is available (https://aurin.org.au/projects/portal-and-infrastructure/what-if). Additional software systems exist to calculate the Urban Heat Island effect (Santamouris and Kolokotsa 2016), stormwater flow in urban environments (Löwe, Urich et al 2017), walkability (Badland, White et al 2013;Boulange, Pettit et al 2017;Boulange, Pettit et al 2018;Giles-Corti, Macaulay et al 2014) and many others (https://docs.aurin.org.au/projects/planning-support-systems).…”
Section: Implications For Planning and The Built Environmentmentioning
confidence: 99%