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Estimating willingness to pay for a hypothetical earthquake early warning systems |
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| Authors: | Ali Asgary Jason K Levy Nader Mehregan |
| Institution: | a Emergency Management Program, School of Administrative Studies, Atkinson Faculty of Liberal and Professional Studies, York University, Toronto, Ontario, Canada M3J 1P3 b Disaster Reduction and Emergency Planning, Huxley College of the Environment, Western Washington University, 516 High Street, Bellingham, WA 98225-9085, USA c Institute for Global and Community Resilience, Huxley College, Western Washington University, 516 High Street, Bellingham, WA 98225-9085, USA d Department of Economics, BU-ALI SINA University, Hamadan, Iran |
| Abstract: | The development of reliable, accessible, and transparent earthquake early warning systems (EEWSs) for disaster reduction have been given increased priority at local, national, and international levels. Accurately quantifying the social and economic benefits accrued to households and businesses from EEWSs are a challenging and difficult task. In this paper, the Contingent Valuation Method (CVM) is used to evaluate the benefits of a hypothetical EEWS to the citizens of Tehran Metropolitan. This study clarifies public willingness to pay (WTP) for EEWS in Tehran, and the dominant factors involved in WTP through a CVM analysis. The survey, completed by more than 504 households, showed that on average households are willing to pay 367,471 Rials ( 38 US$) per month for the hypothetical EEWS. Those willing to pay the most for EEWS are households, which currently possess a fire alarm. Also the more educated the respondents and the more children the respondents have, the more willing they are to pay for EEWS. These results could be used by policy makers and technology firms in order to determine the optimal investments in early warning systems for earthquake disaster reduction. |
| Keywords: | Early warning system Contingent Valuation Method Willingness to pay Earthquake Tehran |
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