School of Management and Economics, Beijing Institute of Technology,
Beijing 100081, PR China
Crisis Management Research Center, Beijing Institute of Technology,
Beijing 100081, PR China
Yujiang Zhang
Second Institute of Surveying and Mapping Engineering, Shaanxi Provincial Bureau of Surveying, Mapping and Geographic Information, Shaanxi 710054, PR China
Xiaohan Yan
School of Management and Economics, Beijing Institute of Technology,
Beijing 100081, PR China
Crisis Management Research Center, Beijing Institute of Technology,
Beijing 100081, PR China
Yi Liu
School of Management and Economics, Beijing Institute of Technology,
Beijing 100081, PR China
Crisis Management Research Center, Beijing Institute of Technology,
Beijing 100081, PR China
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Total article views: 3,474 (including HTML, PDF, and XML)
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2,418
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3,474
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Cumulative views and downloads
(calculated since 23 Dec 2021)
Total article views: 2,578 (including HTML, PDF, and XML)
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1,907
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2,578
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PDF: 617
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Supplement: 135
BibTeX: 86
EndNote: 106
Views and downloads (calculated since 28 Jun 2022)
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Total article views: 896 (including HTML, PDF, and XML)
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511
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26
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Total article views: 3,474 (including HTML, PDF, and XML)
Thereof 3,353 with geography defined
and 121 with unknown origin.
Total article views: 2,578 (including HTML, PDF, and XML)
Thereof 2,510 with geography defined
and 68 with unknown origin.
Total article views: 896 (including HTML, PDF, and XML)
Thereof 843 with geography defined
and 53 with unknown origin.
To identify the main determinants influencing urban residents' intention to prepare for flood risk in China, we developed an integrated theoretical framework based on protection motivation theory (PMT) and validated it with structural equation modeling. The results showed that both threat perception and coping appraisal were effective in increasing residents' intention to prepare. In addition, individual heterogeneity and social context also had an impact on preparedness intentions.
To identify the main determinants influencing urban residents' intention to prepare for flood...
