Antecedents of Electricity-Saving Behavior in Mountain Road Tunnel-Construction Sites: A Multi-Level Modeling Analysis
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- Peter Ansu‐Mensah & Murad A. Bein, 2019. "Towards sustainable consumption: Predicting the impact of social‐psychological factors on energy conservation intentions in Northern Cyprus," Natural Resources Forum, Blackwell Publishing, vol. 43(3), pages 181-193, August.
- Murata, Akinobu & Kondou, Yasuhiko & Hailin, Mu & Weisheng, Zhou, 2008. "Electricity demand in the Chinese urban household-sector," Applied Energy, Elsevier, vol. 85(12), pages 1113-1125, December.
- Wang, Bo & Yang, Zihan & Le Hoa Pham, Thi & Deng, Nana & Du, Heran, 2023. "Can social impacts promote residents’ pro-environmental intentions and behaviour: Evidence from large-scale demand response experiment in China," Applied Energy, Elsevier, vol. 340(C).
- Georges, Emeline & Cornélusse, Bertrand & Ernst, Damien & Lemort, Vincent & Mathieu, Sébastien, 2017. "Residential heat pump as flexible load for direct control service with parametrized duration and rebound effect," Applied Energy, Elsevier, vol. 187(C), pages 140-153.
- Long, Ruyin & Wang, Jiaqi & Chen, Hong & Li, Qianwen & Wu, Meifen & Tan-Soo, Jie-Sheng, 2023. "Applying multilevel structural equation modeling to energy-saving behavior: The interaction of individual- and city-level factors," Energy Policy, Elsevier, vol. 174(C).
- Chen, Chung-Jen & Huang, Jing-Wen, 2007. "How organizational climate and structure affect knowledge management—The social interaction perspective," International Journal of Information Management, Elsevier, vol. 27(2), pages 104-118.
- Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
- Zhou, Shaojie & Teng, Fei, 2013. "Estimation of urban residential electricity demand in China using household survey data," Energy Policy, Elsevier, vol. 61(C), pages 394-402.
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Keywords
road tunnel; electricity-saving climate; tunnel-construction sites; multi-level modeling analysis;All these keywords.
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