Landscape Character Assessment (LCA) in Historic Coal Mining Settings for Landscape Conservation: A Systematic Review

Qi Liu, Nor Arbina Zainal Abidin (), Nor Zarifah Maliki, Kailai Zhang, Zhi Li and Sha Liu
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Qi Liu: School of Housing, Building and Planning, Universiti Sains Malaysia, Main Campus, Gelugor 11700, Penang, Malaysia
Nor Arbina Zainal Abidin: School of Housing, Building and Planning, Universiti Sains Malaysia, Main Campus, Gelugor 11700, Penang, Malaysia
Nor Zarifah Maliki: School of Housing, Building and Planning, Universiti Sains Malaysia, Main Campus, Gelugor 11700, Penang, Malaysia
Kailai Zhang: Centre for Policy Research, Universiti Sains Malaysia, Main Campus, Gelugor 11700, Penang, Malaysia
Zhi Li: School of Media and Art Design, Guilin University of Aerospace Technology, Guilin 541004, China
Sha Liu: School of Housing, Building and Planning, Universiti Sains Malaysia, Main Campus, Gelugor 11700, Penang, Malaysia

Land, 2024, vol. 13, issue 9, 1-20

Abstract: Landscape character assessment (LCA) is a crucial tool for conserving an area’s unique character. However, in our literature review, we found no data linking LCA to historic coal mining settings. This systematic review explores the ways in which the landscape character assessment (LCA) methodology has been applied, as well as the factors that influence it, in the conservation of historic coal mine landscapes. It focuses on three areas: analyzing the ways in which LCA has been applied in landscape conservation, proposing recommendations for the application of LCA in historic coal mine setting landscapes, and summarizing the factors that influence LCA in landscape conservation in historic coal mine settings. Methods: This study used the Meta-Analyses (PRISMA) method to perform the systematic review. The whole review was selected from 2030 potential articles; a total of 21 articles were included. Results: This study demonstrates that the LCA approach can be operationalized in the conservation of environmental landscapes in historic coal mines by combining cluster analysis and multi-scale assessment and incorporating other theories. The quality of the results can be affected by factors such as the accuracy and completeness of the data and the complexity and tractability of the model. Conclusions: Future research should focus on improving the data capture technology, model complexity, and design of actionable models. Additionally, we recommend the strategies of enhancing stakeholder engagement and raising public awareness.

Keywords: landscape character assessment (LCA); heritage; mining; coal mining; landscape conservation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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