Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study
Urban resilience to natural disasters (e.g., flooding), in the context of climate change, has been becoming increasingly important for the sustainable development of cities. This paper presents a method to assess the urban resilience to flooding in terms of the recovery rate of different subdistrict...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/9/2010 |
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| author | Hui Zhang Xiaoqian Liu Yingkai Xie Qiang Gou Rongrong Li Yanqing Qiu Yueming Hu Bo Huang |
| author_facet | Hui Zhang Xiaoqian Liu Yingkai Xie Qiang Gou Rongrong Li Yanqing Qiu Yueming Hu Bo Huang |
| author_sort | Hui Zhang |
| collection | DOAJ |
| description | Urban resilience to natural disasters (e.g., flooding), in the context of climate change, has been becoming increasingly important for the sustainable development of cities. This paper presents a method to assess the urban resilience to flooding in terms of the recovery rate of different subdistricts in a city using all-weather synthetic aperture radar imagery (i.e., Sentinel-1A imagery). The factors that influence resilience, and their relative importance, are then determined through principal component analysis. Jakarta, a flood-prone city in Indonesia, is selected as a case study. The resilience of 42 subdistricts in Jakarta, with their gross domestic product data super-resolved using nighttime-light satellite images, was assessed. The association between resilience levels and influencing factors, such as topology, mixtures of religion, and points-of-interest density, were subsequently derived. Topographic factors, such as elevation (coefficient = 0.3784) and slope (coefficient = 0.1079), were found to have the strongest positive influence on flood recovery, whereas population density (coefficient = −0.1774) a negative effect. These findings provide evidence for policymakers to make more pertinent strategies to improve flood resilience, especially in subdistricts with lower resilience levels. |
| first_indexed | 2024-03-10T03:46:03Z |
| format | Article |
| id | doaj.art-93ced6cb02844bf9a6280fac0005179c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T03:46:03Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-93ced6cb02844bf9a6280fac0005179c2023-11-23T09:09:14ZengMDPI AGRemote Sensing2072-42922022-04-01149201010.3390/rs14092010Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case StudyHui Zhang0Xiaoqian Liu1Yingkai Xie2Qiang Gou3Rongrong Li4Yanqing Qiu5Yueming Hu6Bo Huang7College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaDepartment of Surveying and Geoinformatics, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaDepartment of Surveying and Geoinformatics, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaInstitute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, ChinaGuangdong Urban & Rural Planning and Design Institute, Guangzhou 510290, ChinaCollege of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, ChinaInstitute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, ChinaUrban resilience to natural disasters (e.g., flooding), in the context of climate change, has been becoming increasingly important for the sustainable development of cities. This paper presents a method to assess the urban resilience to flooding in terms of the recovery rate of different subdistricts in a city using all-weather synthetic aperture radar imagery (i.e., Sentinel-1A imagery). The factors that influence resilience, and their relative importance, are then determined through principal component analysis. Jakarta, a flood-prone city in Indonesia, is selected as a case study. The resilience of 42 subdistricts in Jakarta, with their gross domestic product data super-resolved using nighttime-light satellite images, was assessed. The association between resilience levels and influencing factors, such as topology, mixtures of religion, and points-of-interest density, were subsequently derived. Topographic factors, such as elevation (coefficient = 0.3784) and slope (coefficient = 0.1079), were found to have the strongest positive influence on flood recovery, whereas population density (coefficient = −0.1774) a negative effect. These findings provide evidence for policymakers to make more pertinent strategies to improve flood resilience, especially in subdistricts with lower resilience levels.https://www.mdpi.com/2072-4292/14/9/2010urban resiliencefloodingrecoverySARnighttime light satellite imageryJakarta |
| spellingShingle | Hui Zhang Xiaoqian Liu Yingkai Xie Qiang Gou Rongrong Li Yanqing Qiu Yueming Hu Bo Huang Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study Remote Sensing urban resilience flooding recovery SAR nighttime light satellite imagery Jakarta |
| title | Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study |
| title_full | Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study |
| title_fullStr | Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study |
| title_full_unstemmed | Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study |
| title_short | Assessment and Improvement of Urban Resilience to Flooding at a Subdistrict Level Using Multi-Source Geospatial Data: Jakarta as a Case Study |
| title_sort | assessment and improvement of urban resilience to flooding at a subdistrict level using multi source geospatial data jakarta as a case study |
| topic | urban resilience flooding recovery SAR nighttime light satellite imagery Jakarta |
| url | https://www.mdpi.com/2072-4292/14/9/2010 |
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