| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2024-12-12 |
| タイトル |
|
|
タイトル |
Downscaling Urban Resilience Assessment: A Spatiotemporal Analysis of Urban Blocks using the Fuzzy Delphi Method and K-means Clustering |
|
言語 |
en |
| 作成者 |
Moradpour, Nabi
Pourahmad , Ahmad
Ziari, Keramatollah
Hataminejad, Hossein
Sharifi, Ayyoob
|
| アクセス権 |
|
|
アクセス権 |
embargoed access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_f1cf |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
© <2024>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
This is not the published version. Please cite only the published version. |
| 権利情報 |
|
|
言語 |
ja |
|
権利情報 |
この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。 |
| 主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Urban resilience |
| 主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Resilience assessment |
| 主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Fuzzy Delphi method |
| 主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Urban planning |
| 主題 |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Cities |
| 内容記述 |
|
|
内容記述 |
The spatiotemporal assessment of urban resilience is crucial for planning and policy-making toward addressing climate change and other societal challenges. However, our comprehension of urban resilience at smaller scales is limited. This study not only advances urban resilience research by developing an efficient measurement approach but also contributes to practice by evaluating resilience at the city block level, thereby informing targeted interventions. Our study aimed to downscale the unit of analysis for urban resilience assessment by focusing on the social, economic, housing and infrastructural, and environmental dimensions of blocks in the southern districts of Tehran between 2006 and 2016. The Fuzzy Delphi Method was utilized to determine the indicators for urban resilience assessment. The Analytic Hierarchy Process technique was employed to weigh these indicators. Subsequently, the PROMETHEE technique was applied to evaluate the resilience of urban blocks. Finally, the K-Means algorithm was utilized to cluster the urban blocks. The results indicate that from 2006 to 2016, the southern districts of Tehran saw a marked reduction in overall resilience. This decline affected 48 % of the urban blocks, encompassing 60 % of the area and 62 % of the population. The results of applying the K-means algorithm for urban block clustering did not align with the boundaries of the southern districts of Tehran. This finding highlights that assessing resilience on smaller scales could lead to more accurate conclusions. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Elsevier |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1016/j.buildenv.2024.111898 |
| 開始ページ |
|
|
開始ページ |
111898 |
| 書誌情報 |
en : Building and Environment
巻 263,
p. 111898,
発行日 2024-07-29
|
| 旧ID |
55853 |
| 備考 |
The full-text file will be made open to the public on 29 July 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving' |
BE_263_111898.pdf (3.3 MB)
