{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T22:39:24Z","timestamp":1784673564495,"version":"3.55.0"},"reference-count":59,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T00:00:00Z","timestamp":1649030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100013355","name":"Sepuluh Nopember Institute of Technology","doi-asserted-by":"publisher","award":["943\/PKS\/ITS\/2020"],"award-info":[{"award-number":["943\/PKS\/ITS\/2020"]}],"id":[{"id":"10.13039\/501100013355","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi11040235","type":"journal-article","created":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T06:01:34Z","timestamp":1649138494000},"page":"235","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Using GIS to Understand Healthcare Access Variations in Flood Situation in Surabaya"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2006-3848","authenticated-orcid":false,"given":"Nurwatik","family":"Nurwatik","sequence":"first","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5191-5257","authenticated-orcid":false,"given":"Jung-Hong","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Geomatics, National Cheng Kung University, Tainan City 701, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2663-9016","authenticated-orcid":false,"given":"Lalu Muhamad","family":"Jaelani","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2587-2724","authenticated-orcid":false,"given":"Hepi Hapsari","family":"Handayani","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3301-9969","authenticated-orcid":false,"given":"Agung Budi","family":"Cahyono","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9567-052X","authenticated-orcid":false,"given":"Mohammad Rohmaneo","family":"Darminto","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, Faculty of Civil, Planning, and Geo Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111, Indonesia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1061\/(ASCE)0733-9488(2000)126:3(136)","article-title":"Using GIS in Emergency Management Operations","volume":"126","author":"Gunes","year":"2001","journal-title":"J. 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