Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region
碩士 === 國立成功大學 === 地球科學系碩士在職專班 === 102 === Taiwan’s climate is subtropical and tropical monsoon, so there are frequently heavy rains and typhoons in the summer causing flooding easily. Therefore, the issues of flooding risk have attracted more and more attention. There is not much past studies on the...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/jjugh5 |
id |
ndltd-TW-102NCKU5135155 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-102NCKU51351552019-05-15T21:42:47Z http://ndltd.ncl.edu.tw/handle/jjugh5 Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region 以多評準決策方法評估水災風險之研究─以高屏地區為例 Hsiu-JngTsai 蔡綉蓉 碩士 國立成功大學 地球科學系碩士在職專班 102 Taiwan’s climate is subtropical and tropical monsoon, so there are frequently heavy rains and typhoons in the summer causing flooding easily. Therefore, the issues of flooding risk have attracted more and more attention. There is not much past studies on the risks of flood guidelines explored its impact. Understand the relationship between flood risk assessment Evaluation Criteria and Dimensions, it is quite important for the relevant units to improve the performance of the flood risk. For exploring the interrelationship and influential weights among flood risk, this study utilizes a hybrid multiple Evaluation Criteria decision making (MCDM) combined with decision making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytical network process (DANP) to build influential network relation map (INRM) and find out the influential weights of Dimensions/Evaluation Criteria, and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to improve the gaps. The empirical findings reveal that Dimensions/Evaluation Criteria have feedback and interrelationships. Based on INRM, the dimension that related public Agencies should improve first when improving flood risk is Property Fragility. According to DANP, in the proposed twelve Evaluation Criteria, Water Depth and Flood Duration are the most significant influential Evaluation Criteria, followed by Distance from River, Rescue Facilities, Land Use, Building Condition, Water Raising, Water Velocity, Vulnerable Population, Population, City and county Finance, and Average Income. Experts recommend: related public Agencies should improve Water Depth and Flood Duration first, though they must also consider all other Evaluation Criteria. In addition, because Kaohsiung has lower flood risk, Therefore experts consider Kaohsiung as a good example when improving flood risk to achieve the aspiration level of flood risk. In addition, when the management improve the flood risk, for the priority to improve standards in accordance with the maximum gap in order to achieve the aspiration level of flood risk performance. Ming-Chee Wu 吳銘志 2014 學位論文 ; thesis 96 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立成功大學 === 地球科學系碩士在職專班 === 102 === Taiwan’s climate is subtropical and tropical monsoon, so there are frequently heavy rains and typhoons in the summer causing flooding easily. Therefore, the issues of flooding risk have attracted more and more attention. There is not much past studies on the risks of flood guidelines explored its impact. Understand the relationship between flood risk assessment Evaluation Criteria and Dimensions, it is quite important for the relevant units to improve the performance of the flood risk. For exploring the interrelationship and influential weights among flood risk, this study utilizes a hybrid multiple Evaluation Criteria decision making (MCDM) combined with decision making trial and evaluation laboratory (DEMATEL) and DEMATEL-based analytical network process (DANP) to build influential network relation map (INRM) and find out the influential weights of Dimensions/Evaluation Criteria, and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to improve the gaps. The empirical findings reveal that Dimensions/Evaluation Criteria have feedback and interrelationships. Based on INRM, the dimension that related public Agencies should improve first when improving flood risk is Property Fragility. According to DANP, in the proposed twelve Evaluation Criteria, Water Depth and Flood Duration are the most significant influential Evaluation Criteria, followed by Distance from River, Rescue Facilities, Land Use, Building Condition, Water Raising, Water Velocity, Vulnerable Population, Population, City and county Finance, and Average Income. Experts recommend: related public Agencies should improve Water Depth and Flood Duration first, though they must also consider all other Evaluation Criteria. In addition, because Kaohsiung has lower flood risk, Therefore experts consider Kaohsiung as a good example when improving flood risk to achieve the aspiration level of flood risk. In addition, when the management improve the flood risk, for the priority to improve standards in accordance with the maximum gap in order to achieve the aspiration level of flood risk performance.
|
author2 |
Ming-Chee Wu |
author_facet |
Ming-Chee Wu Hsiu-JngTsai 蔡綉蓉 |
author |
Hsiu-JngTsai 蔡綉蓉 |
spellingShingle |
Hsiu-JngTsai 蔡綉蓉 Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
author_sort |
Hsiu-JngTsai |
title |
Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
title_short |
Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
title_full |
Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
title_fullStr |
Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
title_full_unstemmed |
Evaluating the Flood Risk by Using the MCDM Model -- A Case Study on Kao-Ping Region |
title_sort |
evaluating the flood risk by using the mcdm model -- a case study on kao-ping region |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/jjugh5 |
work_keys_str_mv |
AT hsiujngtsai evaluatingthefloodriskbyusingthemcdmmodelacasestudyonkaopingregion AT càitòuróng evaluatingthefloodriskbyusingthemcdmmodelacasestudyonkaopingregion AT hsiujngtsai yǐduōpíngzhǔnjuécèfāngfǎpínggūshuǐzāifēngxiǎnzhīyánjiūyǐgāopíngdeqūwèilì AT càitòuróng yǐduōpíngzhǔnjuécèfāngfǎpínggūshuǐzāifēngxiǎnzhīyánjiūyǐgāopíngdeqūwèilì |
_version_ |
1719119140082417664 |