360
Views
0
CrossRef citations to date
0
Altmetric
Comment

COVID-19’s impact on local planning and urban design practice: focusing on tactical urbanism and the public realm with respect to low income communities

Published online: 10 Nov 2022
 

ABSTRACT

In the face of lockdowns promulgated in response to COVID-19, the effects on local planning are diverse. One of the effects is planners’ use of tactical urbanism in their efforts to improve public health. Tactical urbanism is characterized as temporary, and it is appropriate to ask whether tactical strategies help keep communities healthy in times of pandemic. We address that question by examining several examples of a tactical program called Slow Streets. This program provides temporary public spaces in the streets for exercise and interaction. We review literature to understand the relevance of the program to tactical urbanism, and we investigate how successful it has been. Survey questionnaires complement the research. The study outcomes suggest that the pandemic forced planners to act swiftly, but the Slow Streets program was limited in improving the health of the underserved population because it lacks comprehensive community engagement and alignment with longer term plans.

Acknowledgment

I acknowledge that Rachael Garmo, as my student research assistant, helped with questionnaire surveys involving Slow Street participants in several cities.

Disclosure statement

No potential conflict of interest was reported by the author(s).

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 389.00 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.