Vulnerability of informal settlements in the context of rapid urbanization and climate change-Reference-Cited by-同舟云学术

Vulnerability of informal settlements in the context of rapid urbanization and climate change

Published:2019-01-28 Issue:1 Volume:31 Page:157-176
ISSN:0956-2478
Container-title:Environment and Urbanization
language:en
Short-container-title:Environment and Urbanization

Author:

Williams David Samuel^ORCID,Máñez Costa María^ORCID,Sutherland Catherine,Celliers Louis,Scheffran Jürgen

Funder

European Commission Marie Curie IRSES Grant

Publisher

SAGE Publications

Subject

Urban Studies,Environmental Science (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/0956247818819694

Reference52 articles.

1. Social and ecological resilience: are they related?

2. Adger W N, Brooks N, Bentham G, Agnew M, Eriksen S (2004), “New indicators of vulnerability and adaptive capacity”, Technical Report 7, Tyndall Centre for Climate Change Research.

3. Adaptation to climate change in the developing world

4. From fail-safe to safe-to-fail: Sustainability and resilience in the new urban world

5. Participatory decision making for sustainable development—the use of mediated modelling techniques

Cited by 123 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimising forest rehabilitation and restoration through remote sensing and machine learning: Mapping natural forests in the eThekwini Municipality;Remote Sensing Applications: Society and Environment;2024-11

2. Understanding Socioeconomic Risk and Vulnerability to Climate Change–Induced Disasters: The Case of Informal Settlements in KwaZulu-Natal, South Africa;Journal of Asian and African Studies;2024-09-09

3. Investigating the effective consequences on the assets of an urban system in facing scenario-based hazards;Entorno Geográfico;2024-08-27

4. Climate Risk and Vulnerability Assessment in Informal Settlements of the Global South: A Critical Review;Land;2024-08-25

5. A machine learning approach to mapping suitable areas for forest vegetation in the eThekwini municipality;Remote Sensing Applications: Society and Environment;2024-08