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: 3,630 (including HTML, PDF, and XML)
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2,525
1,021
84
3,630
279
115
134
HTML: 2,525
PDF: 1,021
XML: 84
Total: 3,630
Supplement: 279
BibTeX: 115
EndNote: 134
Views and downloads (calculated since 23 Dec 2021)
Cumulative views and downloads
(calculated since 23 Dec 2021)
Total article views: 2,705 (including HTML, PDF, and XML)
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EndNote
1,997
650
58
2,705
140
92
112
HTML: 1,997
PDF: 650
XML: 58
Total: 2,705
Supplement: 140
BibTeX: 92
EndNote: 112
Views and downloads (calculated since 28 Jun 2022)
Cumulative views and downloads
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Total article views: 925 (including HTML, PDF, and XML)
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528
371
26
925
139
23
22
HTML: 528
PDF: 371
XML: 26
Total: 925
Supplement: 139
BibTeX: 23
EndNote: 22
Views and downloads (calculated since 23 Dec 2021)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,630 (including HTML, PDF, and XML)
Thereof 3,500 with geography defined
and 130 with unknown origin.
Total article views: 2,705 (including HTML, PDF, and XML)
Thereof 2,630 with geography defined
and 75 with unknown origin.
Total article views: 925 (including HTML, PDF, and XML)
Thereof 870 with geography defined
and 55 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...
