This study aims to develop a vulnerability map for Surabaya using GIS-based Multi-Criteria Decision Analysis (MCDA) to assess the city's vulnerability to COVID-19
The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of intere
The human vulnerability indicators in social and physical dimensions finalized by a Delphi study. We use AHP method for giving weight to the determined indicators and then we entered data in to Super
