Data to Decisions: Methods to Create Neighbourhood Built Environment Indicators Relevant for Early Childhood Development

Int J Environ Res Public Health. 2022 May 3;19(9):5549. doi: 10.3390/ijerph19095549.

Abstract

Healthy development in the early years lays the foundations for children's ongoing physical, emotional, and social development. Children develop in multiple contexts, including their local neighbourhood. Neighbourhood-built environment characteristics, such as housing, walkability, traffic exposure, availability of services, facilities, and parks, are associated with a range of health and wellbeing outcomes across the life course, but evidence with early years' outcomes is still emerging. Data linkage techniques were used to assemble a dataset of spatial (objectively-measured) neighbourhood-built environment (BE) measures linked to participant addresses in the 2015 Australian Early Development Census (AEDC) for children living in the 21 most populous urban and regional Australian cities (n = 235,655) to help address this gap. This paper describes the methods used to develop this dataset. This linked dataset (AEDC-BE) is the first of its kind worldwide, enabling opportunities for identifying which features of the built environment are associated with ECD across Australia at scale, allow comparisons between diverse contexts, and the identification of where best to intervene. National data coverage provides statistical power to model real-world complexities, such as differences by city, state/territory, and remoteness. The neighbourhood-built environment can be modified by policy and practice at scale, and has been identified as a way to help reduce inequitable early childhood development outcomes.

Keywords: built environment; data linkage; early childhood development; indicators; neighbourhood.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Australia
  • Built Environment
  • Child
  • Child Development*
  • Child, Preschool
  • Cities
  • Environment Design
  • Humans
  • Residence Characteristics*
  • Walking

Grants and funding

Funding for various stages of the development and pilot testing of the dataset was received from The Australian Government Department of Social Services (4-4FE66UX), The Bernard van Leer Foundation Urban95 Challenge (AUS-2017-041-U95C), and the Australian Government Department of Education, Skills and Employment (PPT2-19-26). The National Liveability Study database used in this study was developed by RMIT’s Healthy Liveable Cities Group (now Lab), supported by grants from the NHMRC funded Australian Prevention Partnership Centre (#9100001; GNT9100003), the Clean Air and Urban Landscapes Hub funded by the Australian Government’s National Environmental Science Program, and an NHMRC Centre for Research Excellence in Healthy Liveable Communities (#1061404). Hannah Badland is supported by an RMIT Vice Chancellor’s Senior Research Fellowship. Sharon Goldfeld is supported by a National Health and Medical Research Council (NHMRC) Career Development Fellowship (1082922).