Post-disaster recovery linked with pre-disaster land development and damage density of Typhoon Yolanda: Toward better land-use planning in Tacloban City, the Philippines
-
- HARA Yuji
- Faculty of Systems Engineering, Wakayama University
-
- OHSUGI Tasuku
- Faculty of Systems Engineering, Wakayama University
-
- TSUCHIYA Kazuaki
- Department of Ecosystem Studies, The University of Tokyo
-
- MURAKAMI Akinobu
- Department of Social Systems and Management, University of Tsukuba
-
- PALIJON Armando M.
- College of Forestry and Natural Resources, University of the Philippines Los Baños
この論文をさがす
抄録
Coastal cities in Asia face increasing risks of extreme climate events and urgently need to develop risk-reduction plans to mitigate the harmful socioeconomic consequences of such events. In this study, we undertook geographical analyses and conducted interviews with stakeholders in the Tacloban City area, the Philippines, to investigate the relationships among building types, storm-surge inundation and post-disaster recovery after 2013 Typhoon Yolanda. Squatter settlements in low-lying urban and coastal areas were destroyed by the typhoon, but were rapidly rebuilt by squatters using debris from the typhoon. Government programs relocated some of the affected squatter populations to new socialized housing developments on safe higher ground that were some distance from the squatters’ former urban and coastal livelihoods, thus causing reluctance to relocation. Our GIS analysis of available geo-spatial data, coupled with extensive stakeholder interviews, showed that there were enough vacant lots within pre-existing housing subdivisions to house more than 7000 squatters and provide them with plots for urban vegetable farming that would provide their livelihood. Interviews with stakeholders suggested that this approach would not encounter excessive resistance. Thus, our study demonstrated that comprehensive GIS analyses and stakeholder involvement can contribute to effective land-use planning for community resilience.
収録刊行物
-
- Journal of Environmental Information Science
-
Journal of Environmental Information Science 2017 (2), 1-12, 2018
一般社団法人 環境情報科学センター
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204592699136
-
- NII論文ID
- 130006555600
-
- NII書誌ID
- AA1205130X
-
- ISSN
- 21885796
- 03896633
-
- HANDLE
- 2241/00154630
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- IRDB
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可