DESIGN FOR THE DEPOPULATING LANDSCAPE: A RETROFIT APPROACH TO URBAN REGENERATION IN JOHNSTOWN, PENNSYLVANIA, USA

Galen NEWMAN, Ryun Jung LEE, Anyi QU, Chenxia PU

PDF(26496 KB)
PDF(26496 KB)
Landsc. Archit. Front. ›› 2020, Vol. 8 ›› Issue (6) : 106-119. DOI: 10.15302/J-LAF-0-040002
THEMATIC PRACTICES
THEMATIC PRACTICES

DESIGN FOR THE DEPOPULATING LANDSCAPE: A RETROFIT APPROACH TO URBAN REGENERATION IN JOHNSTOWN, PENNSYLVANIA, USA

Author information +
History +

Abstract

Over the last 50 years, 370 large cities worldwide have severely depopulated, or shrunk, by at least 10%. Johnstown, Pennsylvania, is the third fastest U.S. shrinking city. Primarily a victim of deindustrialization, Johnstown faces severe decline issues related to depopulation, including social disorder and lowered quality of life. This project develops a framework for urban design for shrinking cities, integrating permanent functions into high development potential areas but temporary functions into declining areas. This approach allows for future development to occur through time as the city recovers. Using a GIS-based weighted overlay model to assess the threat level of decline, 4 sites were identified and strategies for each were developed. Master plans to retrofit new functions integrating residents' desire and demands into vacant / abandoned properties were then generated for each site. Rather than chasing hefty attempted quick-hitting developmental incentives, this approach will bring new long-term economic engines and lifestyles to the city due to a diversity in the economic base; it also pays attention to the social dimension of urban regeneration by providing a structured way to promoting social justice and equity in shrinking cities.

Keywords

Urban Decline / Urban Depopulation / Urban Regeneration / Suitability Modeling / Urban Shrinkage

Cite this article

Download citation ▾
Galen NEWMAN, Ryun Jung LEE, Anyi QU, Chenxia PU. DESIGN FOR THE DEPOPULATING LANDSCAPE: A RETROFIT APPROACH TO URBAN REGENERATION IN JOHNSTOWN, PENNSYLVANIA, USA. Landsc. Archit. Front., 2020, 8(6): 106‒119 https://doi.org/10.15302/J-LAF-0-040002

RIGHTS & PERMISSIONS

2021 Higher Education PressTU986
AI Summary AI Mindmap
PDF(26496 KB)

Accesses

Citations

Detail

Sections
Recommended

/