Utilizing Google Street View for Rapid Seismic Vulnerability Assessment: Case Study in the City of Manila, Philippines

dc.citation.issue1
dc.citation.volume1091
dc.contributor.authorEvangelista MK
dc.contributor.authorAquino DH
dc.contributor.authorRamos JA
dc.coverage.spatialOnline
dc.date.accessioned2025-05-28T01:25:36Z
dc.date.available2025-05-28T01:25:36Z
dc.date.finish-date2021-12-16
dc.date.issued2022-01-01
dc.date.start-date2021-12-15
dc.description.abstractEarthquake Impact Reduction Study for Metro Manila (MMEIRS) estimated that around 40% of the total number of residential buildings within Metro Manila will either collapse or be affected by the M7.2 generated by the West Valley Fault. Need arises to evaluate the seismic vulnerability of structures in the area to enhance the city's resilience to seismic hazards. Rapid seismic vulnerability assessments are typically conducted by means of sidewalk surveys. However, advances in digital technologies such as Google Street View (GSV) provide the potential to do remote assessments, particularly amid mobility restrictions brought about by the COVID-19 pandemic. This paper aims to demonstrate the usefulness of GSV in collecting data needed for rapid seismic vulnerability assessments through the case of buildings in the City of Manila. Six 300 m x 300 m blocks were evaluated using GSV for identifying seismic-related building parameters. Results show the ease of use of GSV in data collection on areas encompassing commercial and residential zones within the city and poses difficulty for blocks dominated by informal settlements. Among the challenges observed in formal zones include blockages in views due to fences, trees, and/or vehicles parked in front. For informal settlements, much of the buildings are not visible in GSV for evaluation thereby necessitating supplemental data collection. Overall, GSV demonstrates usefulness, and has the potential to speed up seismic vulnerability assessments in urban areas in conjunction with existing in situ assessments currently conducted.
dc.description.confidentialfalse
dc.format.pagination1-8
dc.identifier.citationEvangelista MK, Aquino DH, Ramos JA. (2022). Utilizing Google Street View for Rapid Seismic Vulnerability Assessment: Case Study in the City of Manila, Philippines. IOP Conference Series: Earth and Environmental Science. (pp. 1-8). IOP Publishing Ltd.
dc.identifier.doi10.1088/1755-1315/1091/1/012037
dc.identifier.eissn1755-1315
dc.identifier.elements-typec-conference-paper-in-proceedings
dc.identifier.issn1755-1307
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/72961
dc.publisherIOP Publishing Ltd
dc.publisher.urihttp://iopscience.iop.org/article/10.1088/1755-1315/1091/1/012037
dc.rights(c) The author/sen
dc.rights.licenseCC BY 3.0en
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/nz/deed.enen
dc.source.journalIOP Conference Series: Earth and Environmental Science
dc.source.name-of-conferenceThe 9th AUN/SEED-Net Regional Conference on Natural Disaster
dc.titleUtilizing Google Street View for Rapid Seismic Vulnerability Assessment: Case Study in the City of Manila, Philippines
dc.typeconference
pubs.elements-id492626
pubs.organisational-groupOther

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