Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran

P Yariyan, H Zabihi, ID Wolf, M Karami… - International Journal of …, 2020 - Elsevier
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …

[HTML][HTML] Identifying exposure of urban area to certain seismic hazard using machine learning and GIS: A case study of greater Cairo

O Hamdy, H Gaber, MS Abdalzaher, M Elhadidy - Sustainability, 2022 - mdpi.com
The 1992 Cairo earthquake, with a moment magnitude of 5.8, is the most catastrophic
earthquake to shock the Greater Cairo (GC) in recent decades. According to the very limited …

Ten GIS-based solutions for managing and controlling COVID-19 pandemic outbreak

NN Samany, H Liu, R Aghataher, M Bayat - SN computer science, 2022 - Springer
Abstract The coronavirus (COVID-19) pandemic has caused disastrous results in most
countries of the world. It has rapidly spread across the globe with over 156 million …

Evaluating the application of K-mean clustering in Earthquake vulnerability map** of Istanbul, Turkey

M Shafapourtehrany, P Yariyan, H Özener… - International Journal of …, 2022 - Elsevier
Performing the most up-to-date and accurate vulnerability assessment is key to an effective
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …

A risk-based decision-making approach for identifying natural-based tourism potential areas

M Rezvani, F Nickravesh, AD Astaneh… - Journal of Outdoor …, 2022 - Elsevier
Natural-based tourism (NBT) as a fast-growing and key part of the tourism industry, plays an
important role in the economic development of countries. There has been always a degree …

Earthquake risk map** in the Himalayas by integrated analytical hierarchy process, entropy with neural network

S Malakar, AK Rai, AK Gupta - Natural Hazards, 2023 - Springer
Earthquakes are natural disasters that threaten human lives and infrastructure, especially in
seismo-tectonically active regions. Therefore, map** and assessment of earthquake risks …

[HTML][HTML] Earthquake vulnerability map** using different hybrid models

P Yariyan, M Avand, F Soltani, O Ghorbanzadeh… - Symmetry, 2020 - mdpi.com
The main purpose of the present study was to mathematically integrate different decision
support systems to enhance the accuracy of seismic vulnerability map** in Sanandaj City …

Spatial modeling of areas suitable for public libraries construction by integration of GIS and multi-attribute decision making: Case study Tehran, Iran

SN Shorabeh, A Varnaseri, MK Firozjaei… - Library & Information …, 2020 - Elsevier
Spatial features of libraries are crucial to increasing trends in library usage, particularly in
the case of attracting students. Selecting a suitable location for the establishment of public …

Detection of safe areas in flood as emergency evacuation stations using modified particle swarm optimization with local search

NN Samany, M Sheybani, S Zlatanova - Applied Soft Computing, 2021 - Elsevier
Emergency evacuation throughout and after the flood is a crucial task to mitigating more
instantaneous impacts, whilst refining social resilience for longer-term recovery. To enhance …

Building vulnerability assessment in seismic areas using ensemble learning: A Nepal case study

W Chen, L Zhang - Journal of Cleaner Production, 2022 - Elsevier
The vulnerability assessment is a crucial method for earthquake-prone areas to manage
seismic risk. This paper develops an Extreme gradient boosting (XGBoost)-based model to …