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Climate change, floods and homes : a social network approach to understanding location preferences in Indonesia \ Mustika Anggraeni and [5 others].

By: Material type: TextTextSeries: Asian cities climate resilience working paper series ; 17, 2015. Publication details: London : IIED, 2015. Description: 66 p. : color illustrations, color map ; 30 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781784311780 (pbk.)
Subject(s): DDC classification:
  • 23 363.73874 ANG 007458
Online resources: Summary: The social network analysis shows that the low-vulnerability communities can better mobilise their local and extra-local resources to live in flood-prone areas than residents in high- and medium vulnerability communities. They have stronger networks of interpersonal relationships that is stimulated by some prominent residents, and also face the least flood risk. In line with Putnam (2000) and Leenders (2002), the findings of this study suggest that the choice of residents to remain in flood-prone areas is determined by the strength of their social network, and that is influenced by prominent residents who are influenced by overall community resilience to flood disaster.
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Holdings
Item type Current library Call number Status Date due Barcode
Working Paper Working Paper Indian Institute for Human Settlements, Bangalore 363.73874 ANG 007458 (Browse shelf(Opens below)) Available 007458

Includes bibliographical references.

The social network analysis shows that the low-vulnerability communities can better mobilise their local and extra-local resources to live in flood-prone areas than residents in high- and medium vulnerability communities. They have stronger networks of interpersonal relationships that is stimulated by some prominent residents, and also face the least flood risk. In line with Putnam (2000) and Leenders (2002), the findings of this study suggest that the choice of residents to remain in flood-prone areas is determined by the strength of their social network, and that is influenced by prominent residents who are influenced by overall community resilience to flood disaster.

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