Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya
This paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. The accessibility analysis is more focused on...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/4/235 |
| _version_ | 1797434546349670400 |
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| author | Nurwatik Nurwatik Jung-Hong Hong Lalu Muhamad Jaelani Hepi Hapsari Handayani Agung Budi Cahyono Mohammad Rohmaneo Darminto |
| author_facet | Nurwatik Nurwatik Jung-Hong Hong Lalu Muhamad Jaelani Hepi Hapsari Handayani Agung Budi Cahyono Mohammad Rohmaneo Darminto |
| author_sort | Nurwatik Nurwatik |
| collection | DOAJ |
| description | This paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. The accessibility analysis is more focused on vulnerable populations that might be affected by floods. Therefore, a vulnerability assessment is conducted beforehand to identify the location where the vulnerable population is located. A before and after scenario of floods is applied to evaluate the changes of healthcare accessibility. A GIS Network Analyst is chosen as the accessibility analysis tool. The results indicate that the most vulnerable population lives in the Asemrowo district. The service area analysis showed that 94% of the West of Surabaya was well-serviced in the before scenario. Otherwise, the decrement of service area occurs at the city center in the after scenario. Thus, the disaster manager can understand which vulnerable area is to be more prioritized in the evacuation process. |
| first_indexed | 2024-03-09T10:34:52Z |
| format | Article |
| id | doaj.art-2d43f795d6a44c6eba57797ed9e4677a |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T10:34:52Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-2d43f795d6a44c6eba57797ed9e4677a2023-12-01T21:01:20ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-04-0111423510.3390/ijgi11040235Using GIS to Understand Healthcare Access Variations in Flood Situation in SurabayaNurwatik Nurwatik0Jung-Hong Hong1Lalu Muhamad Jaelani2Hepi Hapsari Handayani3Agung Budi Cahyono4Mohammad Rohmaneo Darminto5Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, IndonesiaDepartment of Geomatics, National Cheng Kung University, Tainan City 701, TaiwanDepartment of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, IndonesiaDepartment of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, IndonesiaDepartment of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, IndonesiaDepartment of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, IndonesiaThis paper proposes to identify the variation of accessibility to healthcare facilities based on vulnerability assessments of floods by using open source data. The open source data comprises Open Street Map (OSM), world population, and statistical data. The accessibility analysis is more focused on vulnerable populations that might be affected by floods. Therefore, a vulnerability assessment is conducted beforehand to identify the location where the vulnerable population is located. A before and after scenario of floods is applied to evaluate the changes of healthcare accessibility. A GIS Network Analyst is chosen as the accessibility analysis tool. The results indicate that the most vulnerable population lives in the Asemrowo district. The service area analysis showed that 94% of the West of Surabaya was well-serviced in the before scenario. Otherwise, the decrement of service area occurs at the city center in the after scenario. Thus, the disaster manager can understand which vulnerable area is to be more prioritized in the evacuation process.https://www.mdpi.com/2220-9964/11/4/235healthcareaccessibilitynetwork analysisvulnerabilityopen source |
| spellingShingle | Nurwatik Nurwatik Jung-Hong Hong Lalu Muhamad Jaelani Hepi Hapsari Handayani Agung Budi Cahyono Mohammad Rohmaneo Darminto Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya ISPRS International Journal of Geo-Information healthcare accessibility network analysis vulnerability open source |
| title | Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya |
| title_full | Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya |
| title_fullStr | Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya |
| title_full_unstemmed | Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya |
| title_short | Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya |
| title_sort | using gis to understand healthcare access variations in flood situation in surabaya |
| topic | healthcare accessibility network analysis vulnerability open source |
| url | https://www.mdpi.com/2220-9964/11/4/235 |
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