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The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock

Yıl 2023, Cilt: 6 Sayı: 1, 333 - 350, 31.03.2023
https://doi.org/10.35341/afet.1241016

Öz

Map Application Programming Interfaces and Geographical Information Systems have been actively used to manage direct and analyze after-crisis spatial data. The use of GIS and cloud-based technologies has made spatial data analysis easier. Additionally, GIS and its components were increasingly used instead of conventional methods for damage assessment. The main purpose of the research is to exhibit the utility of web GIS software on damage assessments in the city after the 24 January 2020 Elazig Earthquake. The utility of web maps has been exhibited particularly in terms of collection, analysis, and access of end-user. In this particular research, ArcGIS software and web service have been used. The research has three phases: creating a database, uploading to web services, and creating web maps. Additionally, the building attribute data has been collected from onsite measurements to create a database, which is used in a rapid evaluation method for the detection of risky buildings in Elazig. Building attribute data collection and results of rapid evaluation method have been achieved as outcomes of the project called ‘The Creation of the information bank framework to Influence Urban Transformation and Earthquake Risk Maps for the Center Neighborhoods of the Elazig City’ project. In the last part, Elazig Building Information and Management System (EBİS), based on ArcGIS Online and ArcGIS Enterprise, was created with the base of GIS. As result, the structural condition of the buildings examined and how the buildings will perform under a probable destructive earthquake.

Destekleyen Kurum

AFAD-Ulusal Deprem Araştırma Programı (UDAP)

Proje Numarası

UDAP-Ç-21-62

Kaynakça

  • Abdalla, R., Esmail, M. (2019). WebGIS techniques and applications. In WebGIS for Disaster Management and Emergency Response (pp. 45–55). Springer.
  • Agrawal, S., Gupta, R. D. (2017). Web GIS and its architecture: a review. Arabian Journal of Geosciences, 10(23), 518. https://doi.org/10.1007/s12517-017-3296-2
  • Akdemir, İ. O., Çağliyan, A., Dağli, D. (2015). Kentsel planlamada coğrafi bilgi: Elâzığ uygulaması. Fırat Üniversitesi Harput Araştırmaları Dergisi, 2(1), 53-76 Retrieved from DOI: https://dergipark.org.tr/tr/pub/had/issue/32297/358842
  • Annen, A. (2005). Geostandards: Opengeospatial consortium ogc (gml, wfs, wms). Journées d’étude Interopérabilité Pour l’utilisation Généralisée de La Géoinformation, Standards Nationaux et Internationaux, Zürich, Suisse.
  • Batty, M., Hudson-Smith, A., Milton, R., Crooks, A. (2010). Map mashups, Web 2.0 and the GIS revolution. Annals of GIS, 16(1), 1–13. DOI: https://doi.org/10.1080/19475681003700831
  • Bildirici, İ. Ö., Kırtıloğlu, O. S. (2015). Google Maps API ile Etkili Kartografik Araçlar Oluşturmak. 15. Harita Bilimsel ve Teknik Kurultayı. Retrieved from https://www.hkmo.org.tr/resimler/ekler/9b9dda863a7a9ef_ek.pdf
  • Çağlayan, N., Satoğlu, Ş. I., Kapukaya, E. N. (2018). Afet Yönetiminde Büyük Veri Ve Veri Analitiği Uygulamaları: Literatür Araştırması, 7. Ulusal Lojistik ve Tedarik Zinciri Kongresi, ULTZK, 3–5.
  • Chow, T. E. (2008). The potential of maps APIs for internet GIS applications. Transactions in GIS, 12(2), 179–191. DOI: https://doi.org/10.1111/j.1467-9671.2008.01094.x
  • Crampton, J. W. (2009). Cartography: maps 2.0. Progress in Human Geography, 33(1), 91–100. DOI: https://doi.org/10.1177/0309132508094074
  • Çağlıyan, A., Dağlı, D. (2022). Monitoring Land Use Land Cover Changes and Modelling of Urban Growth Using a Future Land Use Simulation Model (FLUS) in Diyarbakır, Turkey. Sustainability, 14(15), 9180. DOI: https://doi.org/10.3390/su14159180
  • Demirtaş, N., Şahin, H., Durucan, C. (2021). Betonarme Yapılarda Deprem Sonrası Yapısal Hasarların Tahmini İçin Kullanılan Hızlı Değerlendirme Yöntemlerinin Etkinliklerinin Belirlenmesi. Fırat Üniversitesi Fen Bilimleri Dergisi, 33(2), 125–134. Retrieved from https://dergipark.org.tr/en/pub/fufbd/issue/64918/872683
  • Eisnor, D., Wilson, J. (2006). What is neogeography anyway. Platial News and Neogeography, 27. DOI: http://platial.typepad.com/news/2006/05/what_is_neogeog.html
  • Fichter, D. (2010). What is a Mashup. In ENGARD, N. Library Mashups Exploring New Ways to Deliver Library Data (pp. 3–18). Retrieved from http://scholar.google.com/scholar?hl=enandbtnG=Searchandq=intitle:What+Is+a+Mashup+?#1
  • Fu, P. (2015). Getting to know Web GIS. Esri Press Redlands, CA.
  • Goodchild, M. F., Glennon, J. A. (2010). Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3(3), 231–241. DOI: https://doi.org/10.1080/17538941003759255
  • Haklay, M., Singleton, A., Parker, C. (2008). Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass, 2(6), 2011–2039. DOI: https://doi.org/10.1111/j.1749-8198.2008.00167.x
  • Law, D. (2014). Portal for ArcGIS 101. Http://Www. Esri. Com/Esrinews/Arcuser/Winter-2014/Portal-for-Arcgis-101 [May 23, 2016].
  • Mansourian, A., Rajabifard, A., Valadan Zoej, M. J. (2005). Development of a web-based GIS using SDI for disaster management. In Geo-information for disaster management (pp. 599–608). Springer.
  • Mete, M. O., Yomralıoğlu, T. (2021). Açık Kaynaklı Bulut CBS Yardımıyla Kitlesel Taşınmaz Değerleme Uygulaması. Harita Dergisi, 165, 28–42. Issn : 1300-5790
  • Şahin, H., Alyamaç, K. E., Durucan, A., Demirel, B., Açıkgenç, U., Bildik, M., … Demir, T. (2020). 24 Ocak 2020 Mw 6.8 Sivrice/Elazig Depremi Elazig Bölgesi Yapısal Hasarlar İnceleme ve Analiz Raporu. DOI: https://doi.org/001
  • Sieber, R. (2006). Public participation geographic information systems: A literature review and framework. Annals of the Association of American Geographers, 96(3), 491–507. DOI: https://doi.org/10.1111/j.1467-8306.2006.00702.x
  • Sun, W., Bocchini, P., Davison, B. D. (2020). Applications of artificial intelligence for disaster management. Natural Hazards, 103(3), 2631–2689. DOI: 10.1007/s11069-020-04124-3
  • Sürmeli, D. (2011). Yapay sinir ağları ile afet yönetiminde sosyal zarar görebilirlik riskinin belirlenmesi. Sakarya Üniversitesi. DOI: https://hdl.handle.net/20.500.12619/93286
  • Tarhan, Ç., Partigöç, N. S. (2021). Web Tabanlı CBS Uygulamalarının Afet Riski Azaltmadaki Rolü. Resilience, 5(2), 265–279. DOI: https://doi.org/10.32569/resilience.1028577
  • URL-1: Ministry of Environment and Urbanization and Directorate-General Urban Transformation Services, https://altyapi.csb.gov.tr/yonetmelikler-i-461. Last Access: 06.05.2022
  • Wagner, J. (2015). How to Use APIs to Build GIS, Mapping and Location Applications. Retrieved from ProgrammableWeb website: https ://www.programmableweb.com/news/how-to-use-apis-to-build-gis-mapping-and-location-applications/analysis/2015/04/13
  • Wu, X., Xu, C., Xu, X., Chen, G., Zhu, A., Zhang, L., … Du, K. (2022). A Web-GIS hazards information system of the 2008 Wenchuan Earthquake in China. Natural Hazards Research. DOI: https://doi.org/10.1016/j.nhres.2022.03.003
  • Yigitcanlar, T., Desouza, K. C., Butler, L., Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473. DOI: https://doi.org/10.3390/en13061473
  • Yüksel, İ. (2008). Betonarme Binaların Deprem Sonrası Acil Hasar Değerlendirmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 24(1), 260–276. https://dergipark.org.tr/tr/pub/erciyesfen/issue/25577/269794
  • Zergera, A., Smith, D. I. (2003). Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems, 27(2), 123–141. DOI: 10.12691/jbms-8-1-3

The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock

Yıl 2023, Cilt: 6 Sayı: 1, 333 - 350, 31.03.2023
https://doi.org/10.35341/afet.1241016

Öz

Map Application Programming Interfaces and Geographical Information Systems have been actively used to manage direct and analyze after-crisis spatial data. The use of GIS and cloud-based technologies has made spatial data analysis easier. Additionally, GIS and its components were increasingly used instead of conventional methods for damage assessment. The main purpose of the research is to exhibit the utility of web GIS software on damage assessments in the city after the 24 January 2020 Elazig Earthquake. The utility of web maps has been exhibited particularly in terms of collection, analysis, and access of end-user. In this particular research, ArcGIS software and web service have been used. The research has three phases: creating a database, uploading to web services, and creating web maps. Additionally, the building attribute data has been collected from onsite measurements to create a database, which is used in a rapid evaluation method for the detection of risky buildings in Elazig. Building attribute data collection and results of rapid evaluation method have been achieved as outcomes of the project called ‘The Creation of the information bank framework to Influence Urban Transformation and Earthquake Risk Maps for the Center Neighborhoods of the Elazig City’ project. In the last part, Elazig Building Information and Management System (EBİS), based on ArcGIS Online and ArcGIS Enterprise, was created with the base of GIS. As result, the structural condition of the buildings examined and how the buildings will perform under a probable destructive earthquake.

Proje Numarası

UDAP-Ç-21-62

Kaynakça

  • Abdalla, R., Esmail, M. (2019). WebGIS techniques and applications. In WebGIS for Disaster Management and Emergency Response (pp. 45–55). Springer.
  • Agrawal, S., Gupta, R. D. (2017). Web GIS and its architecture: a review. Arabian Journal of Geosciences, 10(23), 518. https://doi.org/10.1007/s12517-017-3296-2
  • Akdemir, İ. O., Çağliyan, A., Dağli, D. (2015). Kentsel planlamada coğrafi bilgi: Elâzığ uygulaması. Fırat Üniversitesi Harput Araştırmaları Dergisi, 2(1), 53-76 Retrieved from DOI: https://dergipark.org.tr/tr/pub/had/issue/32297/358842
  • Annen, A. (2005). Geostandards: Opengeospatial consortium ogc (gml, wfs, wms). Journées d’étude Interopérabilité Pour l’utilisation Généralisée de La Géoinformation, Standards Nationaux et Internationaux, Zürich, Suisse.
  • Batty, M., Hudson-Smith, A., Milton, R., Crooks, A. (2010). Map mashups, Web 2.0 and the GIS revolution. Annals of GIS, 16(1), 1–13. DOI: https://doi.org/10.1080/19475681003700831
  • Bildirici, İ. Ö., Kırtıloğlu, O. S. (2015). Google Maps API ile Etkili Kartografik Araçlar Oluşturmak. 15. Harita Bilimsel ve Teknik Kurultayı. Retrieved from https://www.hkmo.org.tr/resimler/ekler/9b9dda863a7a9ef_ek.pdf
  • Çağlayan, N., Satoğlu, Ş. I., Kapukaya, E. N. (2018). Afet Yönetiminde Büyük Veri Ve Veri Analitiği Uygulamaları: Literatür Araştırması, 7. Ulusal Lojistik ve Tedarik Zinciri Kongresi, ULTZK, 3–5.
  • Chow, T. E. (2008). The potential of maps APIs for internet GIS applications. Transactions in GIS, 12(2), 179–191. DOI: https://doi.org/10.1111/j.1467-9671.2008.01094.x
  • Crampton, J. W. (2009). Cartography: maps 2.0. Progress in Human Geography, 33(1), 91–100. DOI: https://doi.org/10.1177/0309132508094074
  • Çağlıyan, A., Dağlı, D. (2022). Monitoring Land Use Land Cover Changes and Modelling of Urban Growth Using a Future Land Use Simulation Model (FLUS) in Diyarbakır, Turkey. Sustainability, 14(15), 9180. DOI: https://doi.org/10.3390/su14159180
  • Demirtaş, N., Şahin, H., Durucan, C. (2021). Betonarme Yapılarda Deprem Sonrası Yapısal Hasarların Tahmini İçin Kullanılan Hızlı Değerlendirme Yöntemlerinin Etkinliklerinin Belirlenmesi. Fırat Üniversitesi Fen Bilimleri Dergisi, 33(2), 125–134. Retrieved from https://dergipark.org.tr/en/pub/fufbd/issue/64918/872683
  • Eisnor, D., Wilson, J. (2006). What is neogeography anyway. Platial News and Neogeography, 27. DOI: http://platial.typepad.com/news/2006/05/what_is_neogeog.html
  • Fichter, D. (2010). What is a Mashup. In ENGARD, N. Library Mashups Exploring New Ways to Deliver Library Data (pp. 3–18). Retrieved from http://scholar.google.com/scholar?hl=enandbtnG=Searchandq=intitle:What+Is+a+Mashup+?#1
  • Fu, P. (2015). Getting to know Web GIS. Esri Press Redlands, CA.
  • Goodchild, M. F., Glennon, J. A. (2010). Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3(3), 231–241. DOI: https://doi.org/10.1080/17538941003759255
  • Haklay, M., Singleton, A., Parker, C. (2008). Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass, 2(6), 2011–2039. DOI: https://doi.org/10.1111/j.1749-8198.2008.00167.x
  • Law, D. (2014). Portal for ArcGIS 101. Http://Www. Esri. Com/Esrinews/Arcuser/Winter-2014/Portal-for-Arcgis-101 [May 23, 2016].
  • Mansourian, A., Rajabifard, A., Valadan Zoej, M. J. (2005). Development of a web-based GIS using SDI for disaster management. In Geo-information for disaster management (pp. 599–608). Springer.
  • Mete, M. O., Yomralıoğlu, T. (2021). Açık Kaynaklı Bulut CBS Yardımıyla Kitlesel Taşınmaz Değerleme Uygulaması. Harita Dergisi, 165, 28–42. Issn : 1300-5790
  • Şahin, H., Alyamaç, K. E., Durucan, A., Demirel, B., Açıkgenç, U., Bildik, M., … Demir, T. (2020). 24 Ocak 2020 Mw 6.8 Sivrice/Elazig Depremi Elazig Bölgesi Yapısal Hasarlar İnceleme ve Analiz Raporu. DOI: https://doi.org/001
  • Sieber, R. (2006). Public participation geographic information systems: A literature review and framework. Annals of the Association of American Geographers, 96(3), 491–507. DOI: https://doi.org/10.1111/j.1467-8306.2006.00702.x
  • Sun, W., Bocchini, P., Davison, B. D. (2020). Applications of artificial intelligence for disaster management. Natural Hazards, 103(3), 2631–2689. DOI: 10.1007/s11069-020-04124-3
  • Sürmeli, D. (2011). Yapay sinir ağları ile afet yönetiminde sosyal zarar görebilirlik riskinin belirlenmesi. Sakarya Üniversitesi. DOI: https://hdl.handle.net/20.500.12619/93286
  • Tarhan, Ç., Partigöç, N. S. (2021). Web Tabanlı CBS Uygulamalarının Afet Riski Azaltmadaki Rolü. Resilience, 5(2), 265–279. DOI: https://doi.org/10.32569/resilience.1028577
  • URL-1: Ministry of Environment and Urbanization and Directorate-General Urban Transformation Services, https://altyapi.csb.gov.tr/yonetmelikler-i-461. Last Access: 06.05.2022
  • Wagner, J. (2015). How to Use APIs to Build GIS, Mapping and Location Applications. Retrieved from ProgrammableWeb website: https ://www.programmableweb.com/news/how-to-use-apis-to-build-gis-mapping-and-location-applications/analysis/2015/04/13
  • Wu, X., Xu, C., Xu, X., Chen, G., Zhu, A., Zhang, L., … Du, K. (2022). A Web-GIS hazards information system of the 2008 Wenchuan Earthquake in China. Natural Hazards Research. DOI: https://doi.org/10.1016/j.nhres.2022.03.003
  • Yigitcanlar, T., Desouza, K. C., Butler, L., Roozkhosh, F. (2020). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473. DOI: https://doi.org/10.3390/en13061473
  • Yüksel, İ. (2008). Betonarme Binaların Deprem Sonrası Acil Hasar Değerlendirmesi. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 24(1), 260–276. https://dergipark.org.tr/tr/pub/erciyesfen/issue/25577/269794
  • Zergera, A., Smith, D. I. (2003). Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems, 27(2), 123–141. DOI: 10.12691/jbms-8-1-3
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Beşeri Coğrafya
Bölüm Makaleler
Yazarlar

Aşır Yüksel Kaya 0000-0003-0398-7069

Proje Numarası UDAP-Ç-21-62
Yayımlanma Tarihi 31 Mart 2023
Kabul Tarihi 7 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 6 Sayı: 1

Kaynak Göster

APA Kaya, A. Y. (2023). The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock. Afet Ve Risk Dergisi, 6(1), 333-350. https://doi.org/10.35341/afet.1241016
AMA Kaya AY. The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock. Afet ve Risk Dergisi. Mart 2023;6(1):333-350. doi:10.35341/afet.1241016
Chicago Kaya, Aşır Yüksel. “The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock”. Afet Ve Risk Dergisi 6, sy. 1 (Mart 2023): 333-50. https://doi.org/10.35341/afet.1241016.
EndNote Kaya AY (01 Mart 2023) The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock. Afet ve Risk Dergisi 6 1 333–350.
IEEE A. Y. Kaya, “The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock”, Afet ve Risk Dergisi, c. 6, sy. 1, ss. 333–350, 2023, doi: 10.35341/afet.1241016.
ISNAD Kaya, Aşır Yüksel. “The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock”. Afet ve Risk Dergisi 6/1 (Mart 2023), 333-350. https://doi.org/10.35341/afet.1241016.
JAMA Kaya AY. The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock. Afet ve Risk Dergisi. 2023;6:333–350.
MLA Kaya, Aşır Yüksel. “The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock”. Afet Ve Risk Dergisi, c. 6, sy. 1, 2023, ss. 333-50, doi:10.35341/afet.1241016.
Vancouver Kaya AY. The Use of Web GIS in The Rapid Evaluation Process of The Post-Earthquake Urban Building Stock. Afet ve Risk Dergisi. 2023;6(1):333-50.