Next Article in Journal
Species-Level Vegetation Mapping in a Himalayan Treeline Ecotone Using Unmanned Aerial System (UAS) Imagery
Next Article in Special Issue
Correction: Kim, H.; et al. Geospatial Assessment of the Post-Earthquake Hazard of the 2017 Pohang Earthquake Considering Seismic Site Effects. ISPRS Int. J. Geo-Inf. 2018, 7, 375
Previous Article in Journal
Effective Identification of Terrain Positions from Gridded DEM Data Using Multimodal Classification Integration
Previous Article in Special Issue
Landslide Susceptibility Mapping Using Logistic Regression Analysis along the Jinsha River and Its Tributaries Close to Derong and Deqin County, Southwestern China
Article

Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings

1
Department of Urban Regional Planning, Faculty of Built Environment, Universiti Teknologi Malaysia (UTM), Johor 81310, Malaysia
2
Geoscience and Digital Earth Centre (INSTeG), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
3
Faculty of Business and Economic, Technische Universitat Bergakademie Freiberg, 09599 Freiber, Germany
4
Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj 15175-66177, Iran
5
Department of Social Science, Faculty of Humanities and Social Sciences, Payam Noor University, Tehran 4697-19395, Iran
6
Korea Polar Research Institute (KOPRI), Songdomirae-ro,Yeonsu-gu, Incheon 21990, Korea
7
Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia
8
Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro Gwangjin-gu, Seoul 05006, Korea
9
Department of Geoinformation, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, UTM Skudai, Johor 81310, Malaysia
*
Authors to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(11), 444; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110444
Received: 28 September 2018 / Revised: 4 November 2018 / Accepted: 12 November 2018 / Published: 14 November 2018
(This article belongs to the Special Issue Natural Hazards and Geospatial Information)
Earthquakes are among the most catastrophic natural geo-hazards worldwide and endanger numerous lives annually. Therefore, it is vital to evaluate seismic vulnerability beforehand to decrease future fatalities. The aim of this research is to assess the seismic vulnerability of residential houses in an urban region on the basis of the Multi-Criteria Decision Making (MCDM) model, including the analytic hierarchy process (AHP) and geographical information system (GIS). Tabriz city located adjacent to the North Tabriz Fault (NTF) in North-West Iran was selected as a case study. The NTF is one of the major seismogenic faults in the north-western part of Iran. First, several parameters such as distance to fault, percent of slope, and geology layers were used to develop a geotechnical map. In addition, the structural construction materials, building materials, size of building blocks, quality of buildings and buildings-floors were used as key factors impacting on the building’s structural vulnerability in residential areas. Subsequently, the AHP technique was adopted to measure the priority ranking, criteria weight (layers), and alternatives (classes) of every criterion through pair-wise comparison at all levels. Lastly, the layers of geotechnical and spatial structures were superimposed to design the seismic vulnerability map of buildings in the residential area of Tabriz city. The results showed that South and Southeast areas of Tabriz city exhibit low to moderate vulnerability, while some regions of the north-eastern area are under severe vulnerability conditions. In conclusion, the suggested approach offers a practical and effective evaluation of Seismic Vulnerability Assessment (SVA) and provides valuable information that could assist urban planners during mitigation and preparatory phases of less examined areas in many other regions around the world. View Full-Text
Keywords: analytic hierarchy process AHP; GIS; seismic vulnerability assessment (SVA); residential buildings; geotechnical vulnerability; structural vulnerability analytic hierarchy process AHP; GIS; seismic vulnerability assessment (SVA); residential buildings; geotechnical vulnerability; structural vulnerability
Show Figures

Graphical abstract

MDPI and ACS Style

Alizadeh, M.; Hashim, M.; Alizadeh, E.; Shahabi, H.; Karami, M.R.; Beiranvand Pour, A.; Pradhan, B.; Zabihi, H. Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings. ISPRS Int. J. Geo-Inf. 2018, 7, 444. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110444

AMA Style

Alizadeh M, Hashim M, Alizadeh E, Shahabi H, Karami MR, Beiranvand Pour A, Pradhan B, Zabihi H. Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings. ISPRS International Journal of Geo-Information. 2018; 7(11):444. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110444

Chicago/Turabian Style

Alizadeh, Mohsen, Mazlan Hashim, Esmaeil Alizadeh, Himan Shahabi, Mohammad R. Karami, Amin Beiranvand Pour, Biswajeet Pradhan, and Hassan Zabihi. 2018. "Multi-Criteria Decision Making (MCDM) Model for Seismic Vulnerability Assessment (SVA) of Urban Residential Buildings" ISPRS International Journal of Geo-Information 7, no. 11: 444. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi7110444

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop