The household benefits assessment of the flood reduction plan in Flood-prone Area: A case study in Sinwen, Chiayi, Taiwan

Hsin Chi Li, Yen-Lien Kuo, Daigee Shaw, Te Hsiu Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study is a method to evaluate the household benefits from flood reduction plan by the loss estimations with and without measures under various precipitation return period (accumulated probability). 'The Flood Reduction Plan in the Flood-prone Area' is ratified by the Executive Yuan, Taiwan, on 2006, which aims to ease the impact caused by flood hazard. Since this flood reduction plan is one of the biggest government projects, it is important to evaluate the benefit of the plan. In Taiwan, the benefits of a construction are traditionally conducted from the engineering point of view which estimates the direct and indirect benefits. However, it is difficult to distinguish actual loss or benefits caused by the floods. In addition, the official loss evaluations are mainly based on the rough estimation from fishery, farming, and industries, but households are generally more vulnerable to flood in most flood-prone areas. This study found a household flood loss model which is based on a household survey data and the definition of flood loss is consistent with welfare economics. The household flood loss includes human resources loss and man-made property loss, such as contracture loss, furniture loss, vehicle loss etc. Finally, we chose 'the Flood Reduction Plan in Hsin-Wen area, Chia-Yi County, Taiwan,' as a case for the real assessment. The household annual expected benefit from the plan is 16,678,393 NTD.

Original languageEnglish
Title of host publication9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008
Pages2583-2593
Number of pages11
Volume4
Publication statusPublished - 2008
Event9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008 - Hong Kong, China
Duration: 2008 May 182008 May 23

Other

Other9th International Conference on Probabilistic Safety Assessment and Management 2008, PSAM 2008
CountryChina
CityHong Kong
Period08-05-1808-05-23

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Statistics and Probability

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