Extreme events, energy security and equality through micro- and macro-levels: Concepts, challenges and methods
Autor: | Chien-fei Chen, Thomas Dietz, Nina H. Fefferman, Jamie Greig, Kristen Cetin, Caitlin Robinson, Laura Arpan, Marcel Schweiker, Bing Dong, Wenbo Wu, Yue Li, Hongyu Zhou, Jianzhong Wu, Jin Wen, Joshua S. Fu, Tianzhen Hong, Da Yan, Hannah Nelson, Yimin Zhu, Xueping Li, Le Xie, Rachel Fu |
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Rok vydání: | 2022 |
Předmět: |
Energy inequality
Resilience Renewable Energy Sustainability and the Environment Policy and Administration Energy Engineering and Power Technology COVID-19 Energy insecurity Human Geography Basic Behavioral and Social Science Climate Action Disasters Fuel Technology Nuclear Energy and Engineering Affordable and Clean Energy Clinical Research Energy justice Behavioral and Social Science Reduced Inequalities Social Sciences (miscellaneous) |
Zdroj: | ENERGY RESEARCH & SOCIAL SCIENCE |
Popis: | Low-income households face long-standing challenges of energy insecurity and inequality (EII). During extreme events (e.g., disasters and pandemics) these challenges are especially severe for vulnerable populations reliant on energy for health, education, and well-being. However, many EII studies rarely incorporate the micro- and macro-perspectives of resilience and reliability of energy and internet infrastructure and social-psychological factors. To remedy this gap, we first address the impacts of extreme events on EII among vulnerable populations. Second, we evaluate the driving factors of EII and how they change during disasters. Third, we situate these inequalities within broader energy systems and pinpoint the importance of equitable infrastructure systems by examining infrastructure reliability and resilience and the role of renewable technologies. Then, we consider the factors influencing energy consumption, such as energy practices, socio-psychological factors, and internet access. Finally, we propose interdisciplinary research methods to study these issues during extreme events and provide recommendations. |
Databáze: | OpenAIRE |
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