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Integrating System Spatial Archetypes and Archetypical Evolutionary Patterns of Human Settlements: Towards Place-Based Sustainable Development.

Authors :
Gao, Wenlin
Lyu, Wanyue
Liu, Binyi
Source :
Land (2012); Dec2023, Vol. 12 Issue 12, p2164, 23p
Publication Year :
2023

Abstract

Effectively managing the diversity and complexity of human settlements is pivotal in tackling the sustainability challenges we face in the Anthropocene. Conceptualizing a city's human settlement as a unified social–ecological system and investigating its system archetype and evolutionary pattern offer a promising approach to understanding sustainability challenges within specific spatio-temporal contexts. This study introduced a novel approach to assessing and characterizing human settlements using a spatio-temporal two-tier structure archetype analysis for human settlement systems. Applying inductive clustering to an integrated dataset, we identified five typical human settlement systems for 2019 and eight change patterns (2001–2019) in the Yangtze River Delta region. By linking inductively recognized human settlement systems into deductive categories of human-nature connectedness and associating inductive change patterns with deduced phases within the adaptive cycle, we defined five system spatial archetypes and three archetypical evolutionary patterns, revealing the typical interaction between them. This enabled us to understand sustainability challenges for each interaction, formulating seven tailored solutions to promote place-based development in human settlements. Generally, our approach showcases considerable potential in uncovering human settlement challenges, ultimately contributing to addressing these challenges at the local level within the broader context of global sustainability issues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2073445X
Volume :
12
Issue :
12
Database :
Complementary Index
Journal :
Land (2012)
Publication Type :
Academic Journal
Accession number :
174437796
Full Text :
https://doi.org/10.3390/land12122164