PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 2026The International Journal of Architectonic Spatial and Environmental Design0 citations

“It’s Alive!”

View Full Paper
HBHeather BraidenRFRobert France

Key Points

  • This research examines the transformation of industrial sites into rehabilitated landscapes and their implications for health and perception.
  • Case study of Open Hearth Park in Sydney, Cape Breton.
  • Utilized walking as a method for exploration and understanding.
  • Applied phenomenology and autoethnography for layered historical insights.
  • Identified complexities in how rehabilitated sites are perceived and understood.
  • Showed that remediation can lead to landscapes that lose their historical context.
  • Highlighted the disconnection from the original industrial history despite the healing process.

Abstract

Heavy industrialization leaves behind unnatural landscapes that can pose risks to human and nonhuman health due to contaminated soils, substrate, and groundwater. Once an industry ceases operation, the site’s rehabilitation process creates new landscapes that are unrecognizable from what existed before. In this study, we argue that understanding these stitched-together, Frankenstein-like, scarred landscapes is not intuitive. We take the Open Hearth Park in Sydney, Cape Breton, as a case study. Once considered Canada’s most contaminated site, the park is now disconnected from its industrial past, and the remediation process has reduced the possibility of grand green spaces. Using walking, phenomenology, and autoethnography, we layer multiple histories to develop a new understanding of this monstrous site and engage in a process of healing the land. We offer an alternative form of scholarship that is more responsive to entangled geographies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Braiden et al. (2026) studied this question.

synapsesocial.com/papers/69aa710d531e4c4a9ff5b685https://doi.org/10.18848/2325-1662/cgp/a262
Ask AI
Helpful
Bookmark
Share
View Full Paper