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What about my opposition!? The case of rural public hearing best practices during the COVID-19 pandemic.
Kung, Michael; Zhu, Dan.
  • Kung M; University of Florida, College of Design, Construction and Planning, 1480 Inner Road, Gainesville, FL 32611, USA.
  • Zhu D; Marion County, Growth Services Department, 2710 E. Silver Springs Blvd., Ocala, FL 34470, USA.
Cities ; 120: 103485, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1458673
ABSTRACT
The public hearing is a vital method to obtain citizen participation and information gathering for urban policy decision making. However, the COVID-19 pandemic has caused local planning departments around the nation to rethink their strategy, especially when many citizens are unable to use many of the new strategies because of the rural digital divide. While fully online meetings would be ideal for the current situation, the reality is that the lack of Internet and technology severely limits public participation among certain populations and in certain regions. This paper analyzed nine counties in the state of Florida, USA, in terms of population, COVID-19 cases, Internet broadband availability, and public hearing strategies, as well as survey data regarding public hearings, to produce best practices for holding a public hearing during the pandemic. A hybrid public hearing approach is the most effective method given the circumstances, and best practices and future approaches are provided and discussed to help bridge the digital divide. These resulting best practices will inform local residents, developers, planners, and decision-makers moving forward in the pandemic and ensure that the public voice can be heard with openness and transparency without compromising the applicants' and citizens' safety and health.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Cities Year: 2022 Document Type: Article Affiliation country: J.cities.2021.103485

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Language: English Journal: Cities Year: 2022 Document Type: Article Affiliation country: J.cities.2021.103485