2,347
Views
18
CrossRef citations to date
0
Altmetric
Articles

Can social media support large scale public participation in urban planning? The case of the #MySydney digital engagement campaign

ORCID Icon & ORCID Icon
Pages 355-371 | Published online: 04 Jun 2019
 

ABSTRACT

Public participation in urban planning often focuses on the effectiveness of participation at the neighbourhood scale, while less attention is given to metropolitan wide participation. The growth of social media offers an opportunity to engage a broader geographic area. This study investigates the #MySydney social media campaign undertaken in Sydney, Australia. The #MySydney campaign utilized three social media channels and the Social Pinpoint application to engage Sydney’s citizens during the preparation of district plans. Our examination of the campaign makes the following contributions; Firstly, although the Department prompted the campaign as a conversation with the community, it was more consistent with a branding strategy. Secondly, the case study highlights the difficulties of moderating participation on social media. Thirdly, the response rate per capita was consistently very low. Finally, we demonstrate a weak link between mainstream and social media in this instance.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 WestConnex is a 33 kilometre motorway project designed to link Sydney’s west and south-west with the central business district, airport and Port Botany (www.westconnex.com.au).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 319.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.