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

Wenlin Gao,

Wanyue Lyu,

Binyi Liu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(12), P. 2164 - 2164

Published: Dec. 14, 2023

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

Language: Английский

China–US scientific collaboration on sustainable development amidst geopolitical tensions DOI Creative Commons
Rongrong Li,

Feng Ren,

Qiang Wang

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 31, 2024

Abstract This study aims to investigate whether growing geopolitical competition has affected international collaboration in sustainable development research, with a particular focus on structural changes bilateral research between China and the United States. Three datasets have been created compared using bibliographic information provided by Web of Science core collection: before Trump administration, during Biden administration. The results indicate that countries worldwide conducted extensive development, States, China, Kingdom produced most publications, demonstrating high level scientific productivity. Concerning collaborative patterns States are each other’s largest partners. intensity two not declined due tensions. Conversely, is still increasing. keyword thematic explorations reveal China–US focused differently across three time periods despite differences bias, efforts contribute advancing achievement SDGs consistent. It possible considerations heightened urgency policy led its incorporation into centers.

Language: Английский

Citations

0

Generic Method for Social–Environmental System Boundary Delineation—An Amalgamation of Spatial Data Integration, Optimization, and User Control for Resource Management DOI Creative Commons
Mohammad Shahriyar Parvez, Xin Feng

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(12), P. 447 - 447

Published: Dec. 10, 2024

The Social–Environmental System (SES) framework is crucial in understanding the intricate interplay between human societies and their environmental contexts. Despite its significance, existing SES delineation methods often rely on subjective judgment struggle with non-linear, multi-scale nature of data, leading to challenges effective resource management policymaking. This research addresses these gaps by proposing a novel, reproducible for boundary that integrates both vector raster utilizing advanced spatial optimization techniques dimension reduction algorithms like UMAP manage non-linear characteristics SES. also leverages SKATER algorithm precise regionalization, ensuring continuity compactness while allowing user control over region selection data dimensions. Applied Rio Grande/Bravo Basin, this approach demonstrates practical utility computational efficiency proposed method, offering scalable solution adaptable various regions. While focusing transboundary area, study underscores how can be generalized globally addressing socio-environmental maintaining flexibility accommodate local regional specificities. framework’s reliance open-source tools further enhances accessibility reproducibility, making it valuable contribution management.

Language: Английский

Citations

0

Exploring the evolution and trade-off within a socio-ecological system in karst regions: A case study of Huanjiang County, China DOI Creative Commons
Jing Tan, Li Peng, Wenxin Wu

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100256 - 100256

Published: Dec. 1, 2024

Language: Английский

Citations

0

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

Wenlin Gao,

Wanyue Lyu,

Binyi Liu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(12), P. 2164 - 2164

Published: Dec. 14, 2023

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

Language: Английский

Citations

1