A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks
Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have buil...
Ausführliche Beschreibung
Autor*in: |
Yingyue Sun [verfasserIn] Qingshan Yang [verfasserIn] Peng Chen [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2018 |
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In: Journal of Risk Analysis and Crisis Response (JRACR) - Society for Risk Analysis - China, 2017, 8(2018), 1 |
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Übergeordnetes Werk: |
volume:8 ; year:2018 ; number:1 |
Links: |
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DOI / URN: |
10.2991/jrarc.2018.8.1.4 |
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Katalog-ID: |
DOAJ039702413 |
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10.2991/jrarc.2018.8.1.4 doi (DE-627)DOAJ039702413 (DE-599)DOAJ41c0013d9c0b4828bb3902a9d37994b5 DE-627 ger DE-627 rakwb eng TA1-2040 Yingyue Sun verfasserin aut A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. Tourist Destination; disaster risks; spatial evolution Engineering (General). Civil engineering (General) Risk in industry. Risk management HD61 Qingshan Yang verfasserin aut Peng Chen verfasserin aut In Journal of Risk Analysis and Crisis Response (JRACR) Society for Risk Analysis - China, 2017 8(2018), 1 (DE-627)1683678745 22108505 nnns volume:8 year:2018 number:1 https://doi.org/10.2991/jrarc.2018.8.1.4 kostenfrei https://doaj.org/article/41c0013d9c0b4828bb3902a9d37994b5 kostenfrei https://www.atlantis-press.com/article/25895177.pdf kostenfrei https://doaj.org/toc/2210-8505 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2018 1 |
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10.2991/jrarc.2018.8.1.4 doi (DE-627)DOAJ039702413 (DE-599)DOAJ41c0013d9c0b4828bb3902a9d37994b5 DE-627 ger DE-627 rakwb eng TA1-2040 Yingyue Sun verfasserin aut A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. Tourist Destination; disaster risks; spatial evolution Engineering (General). Civil engineering (General) Risk in industry. Risk management HD61 Qingshan Yang verfasserin aut Peng Chen verfasserin aut In Journal of Risk Analysis and Crisis Response (JRACR) Society for Risk Analysis - China, 2017 8(2018), 1 (DE-627)1683678745 22108505 nnns volume:8 year:2018 number:1 https://doi.org/10.2991/jrarc.2018.8.1.4 kostenfrei https://doaj.org/article/41c0013d9c0b4828bb3902a9d37994b5 kostenfrei https://www.atlantis-press.com/article/25895177.pdf kostenfrei https://doaj.org/toc/2210-8505 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2018 1 |
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10.2991/jrarc.2018.8.1.4 doi (DE-627)DOAJ039702413 (DE-599)DOAJ41c0013d9c0b4828bb3902a9d37994b5 DE-627 ger DE-627 rakwb eng TA1-2040 Yingyue Sun verfasserin aut A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. Tourist Destination; disaster risks; spatial evolution Engineering (General). Civil engineering (General) Risk in industry. Risk management HD61 Qingshan Yang verfasserin aut Peng Chen verfasserin aut In Journal of Risk Analysis and Crisis Response (JRACR) Society for Risk Analysis - China, 2017 8(2018), 1 (DE-627)1683678745 22108505 nnns volume:8 year:2018 number:1 https://doi.org/10.2991/jrarc.2018.8.1.4 kostenfrei https://doaj.org/article/41c0013d9c0b4828bb3902a9d37994b5 kostenfrei https://www.atlantis-press.com/article/25895177.pdf kostenfrei https://doaj.org/toc/2210-8505 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2018 1 |
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10.2991/jrarc.2018.8.1.4 doi (DE-627)DOAJ039702413 (DE-599)DOAJ41c0013d9c0b4828bb3902a9d37994b5 DE-627 ger DE-627 rakwb eng TA1-2040 Yingyue Sun verfasserin aut A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. Tourist Destination; disaster risks; spatial evolution Engineering (General). Civil engineering (General) Risk in industry. Risk management HD61 Qingshan Yang verfasserin aut Peng Chen verfasserin aut In Journal of Risk Analysis and Crisis Response (JRACR) Society for Risk Analysis - China, 2017 8(2018), 1 (DE-627)1683678745 22108505 nnns volume:8 year:2018 number:1 https://doi.org/10.2991/jrarc.2018.8.1.4 kostenfrei https://doaj.org/article/41c0013d9c0b4828bb3902a9d37994b5 kostenfrei https://www.atlantis-press.com/article/25895177.pdf kostenfrei https://doaj.org/toc/2210-8505 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2018 1 |
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A Study of Spatial Evolution Patterns of Tourist Destinations Disaster Risks |
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Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. |
abstractGer |
Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. |
abstract_unstemmed |
Due to the strong suddenness, large destruction and wide impact, disasters can cause serious property and safety loss to tourists, damage significantly tourism infrastructure, properties and resources. In order to prevent disaster and to better understand future disaster risk evolution, we have built a comprehensive disaster risk evaluation model using selected 17 economic and social indicators from tourist destinations in Jilin Province based on the four-factor theory of natural disaster risk formation. The model was used to assess tourist destination disaster risk in Jilin Province for the period of 2009 - 2014. Using GIS technology, we have developed a tourist destination disaster risk zoning map of 2009 – 2014 for Jilin Province, classified the spatial evolution patterns of tourist destination disaster risk. Results showed that the increases in tourist destination disaster risks in Jilin may be spatially evolved by edge contact, sudden internal elevation, swinging and leaping; the decreases in tourist destination disaster risks may be spatially evolved by edge recession, sudden internal reduction and contiguous reduction. The disaster risk spatial evolution model is of value for the emergency department of Jilin Province to take specific emergency measures according to a particular pattern. |
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|
score |
7.401724 |